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The Most Important Research Skills (With Examples)

• What Are Hard Skills?
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• What Are What Are Life Skills?
• What Are Social Media Skills Resume?
• What Are Administrative Skills?
• What Are Analytical Skills?
• What Are Research Skills?
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Research skills are the ability to find out accurate information on a topic. They include being able to determine the data you need, find and interpret those findings, and then explain that to others. Being able to do effective research is a beneficial skill in any profession, as data and research inform how businesses operate.

Whether you’re unsure of your research skills or are looking for ways to further improve them, then this article will cover important research skills and how to become even better at research.

Key Takeaways

Having strong research skills can help you understand your competitors, develop new processes, and build your professional skills in addition to aiding you in finding new customers and saving your company money.

Some of the most valuable research skills you can have include goal setting, data collection, and analyzing information from multiple sources.

You can and should put your research skills on your resume and highlight them in your job interviews.

What are research skills?

Why are research skills important, 12 of the most important research skills, how to improve your research skills, highlighting your research skills in a job interview, how to include research skills on your resume, resume examples showcasing research skills, research skills faqs.

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Research skills are the necessary tools to be able to find, compile, and interpret information in order to answer a question. Of course, there are several aspects to this. Researchers typically have to decide how to go about researching a problem — which for most people is internet research.

In addition, you need to be able to interpret the reliability of a source, put the information you find together in an organized and logical way, and be able to present your findings to others. That means that they’re comprised of both hard skills — knowing your subject and what’s true and what isn’t — and soft skills. You need to be able to interpret sources and communicate clearly.

Research skills are useful in any industry, and have applications in innovation, product development, competitor research, and many other areas. In addition, the skills used in researching aren’t only useful for research. Being able to interpret information is a necessary skill, as is being able to clearly explain your reasoning.

Research skills are used to:

Do competitor research. Knowing what your biggest competitors are up to is an essential part of any business. Researching what works for your competitors, what they’re doing better than you, and where you can improve your standing with the lowest resource expenditure are all essential if a company wants to remain functional.

Develop new processes and products. You don’t have to be involved in research and development to make improvements in how your team gets things done. Researching new processes that make your job (and those of your team) more efficient will be valued by any sensible employer.

Foster self-improvement. Folks who have a knack and passion for research are never content with doing things the same way they’ve always been done. Organizations need independent thinkers who will seek out their own answers and improve their skills as a matter of course. These employees will also pick up new technologies more easily.

Manage customer relationships. Being able to conduct research on your customer base is positively vital in virtually every industry. It’s hard to move products or sell services if you don’t know what people are interested in. Researching your customer base’s interests, needs, and pain points is a valuable responsibility.

Save money. Whether your company is launching a new product or just looking for ways to scale back its current spending, research is crucial for finding wasted resources and redirecting them to more deserving ends. Anyone who proactively researches ways that the company can save money will be highly appreciated by their employer.

Solve problems. Problem solving is a major part of a lot of careers, and research skills are instrumental in making sure your solution is effective. Finding out the cause of the problem and determining an effective solution both require accurate information, and research is the best way to obtain that — be it via the internet or by observation.

Determine reliable information. Being able to tell whether or not the information you receive seems accurate is a very valuable skill. While research skills won’t always guarantee that you’ll be able to tell the reliability of the information at first glance, it’ll prevent you from being too trusting. And it’ll give the tools to double-check .

Experienced researchers know that worthwhile investigation involves a variety of skills. Consider which research skills come naturally to you, and which you could work on more.

Data collection . When thinking about the research process, data collection is often the first thing that comes to mind. It is the nuts and bolts of research. How data is collected can be flexible.

For some purposes, simply gathering facts and information on the internet can fulfill your need. Others may require more direct and crowd-sourced research. Having experience in various methods of data collection can make your resume more impressive to recruiters.

Data collection methods include: Observation Interviews Questionnaires Experimentation Conducting focus groups

Analysis of information from different sources. Putting all your eggs in one source basket usually results in error and disappointment. One of the skills that good researchers always incorporate into their process is an abundance of sources. It’s also best practice to consider the reliability of these sources.

Are you reading about U.S. history on a conspiracy theorist’s blog post? Taking facts for a presentation from an anonymous Twitter account?

If you can’t determine the validity of the sources you’re using, it can compromise all of your research. That doesn’t mean just disregard anything on the internet but double-check your findings. In fact, quadruple-check. You can make your research even stronger by turning to references outside of the internet.

Examples of reliable information sources include: Published books Encyclopedias Magazines Databases Scholarly journals Newspapers Library catalogs

Finding information on the internet. While it can be beneficial to consulate alternative sources, strong internet research skills drive modern-day research.

One of the great things about the internet is how much information it contains, however, this comes with digging through a lot of garbage to get to the facts you need. The ability to efficiently use the vast database of knowledge that is on the internet without getting lost in the junk is very valuable to employers.

Internet research skills include: Source checking Searching relevant questions Exploring deeper than the first options Avoiding distraction Giving credit Organizing findings

Interviewing. Some research endeavors may require a more hands-on approach than just consulting internet sources. Being prepared with strong interviewing skills can be very helpful in the research process.

Interviews can be a useful research tactic to gain first-hand information and being able to manage a successful interview can greatly improve your research skills.

Interviewing skills involves: A plan of action Specific, pointed questions Respectfulness Considering the interview setting Actively Listening Taking notes Gratitude for participation

Report writing. Possessing skills in report writing can assist you in job and scholarly research. The overall purpose of a report in any context is to convey particular information to its audience.

Effective report writing is largely dependent on communication. Your boss, professor , or general reader should walk away completely understanding your findings and conclusions.

Report writing skills involve: Proper format Including a summary Focusing on your initial goal Creating an outline Proofreading Directness

Critical thinking. Critical thinking skills can aid you greatly throughout the research process, and as an employee in general. Critical thinking refers to your data analysis skills. When you’re in the throes of research, you need to be able to analyze your results and make logical decisions about your findings.

Critical thinking skills involve: Observation Analysis Assessing issues Problem-solving Creativity Communication

Planning and scheduling. Research is a work project like any other, and that means it requires a little forethought before starting. Creating a detailed outline map for the points you want to touch on in your research produces more organized results.

It also makes it much easier to manage your time. Planning and scheduling skills are important to employers because they indicate a prepared employee.

Planning and scheduling skills include: Setting objectives Identifying tasks Prioritizing Delegating if needed Vision Communication Clarity Time-management

Note-taking. Research involves sifting through and taking in lots of information. Taking exhaustive notes ensures that you will not neglect any findings later and allows you to communicate these results to your co-workers. Being able to take good notes helps summarize research.

Examples of note-taking skills include: Focus Organization Using short-hand Keeping your objective in mind Neatness Highlighting important points Reviewing notes afterward

Communication skills. Effective research requires being able to understand and process the information you receive, either written or spoken. That means that you need strong reading comprehension and writing skills — two major aspects of communication — as well as excellent listening skills.

Most research also involves showcasing your findings. This can be via a presentation. , report, chart, or Q&A. Whatever the case, you need to be able to communicate your findings in a way that educates your audience.

Communication skills include: Reading comprehension Writing Listening skills Presenting to an audience Creating graphs or charts Explaining in layman’s terms

Time management. We’re, unfortunately, only given 24 measly hours in a day. The ability to effectively manage this time is extremely powerful in a professional context. Hiring managers seek candidates who can accomplish goals in a given timeframe.

Strong time management skills mean that you can organize a plan for how to break down larger tasks in a project and complete them by a deadline. Developing your time management skills can greatly improve the productivity of your research.

Time management skills include: Scheduling Creating task outlines Strategic thinking Stress-management Delegation Communication Utilizing resources Setting realistic expectations Meeting deadlines

Using your network. While this doesn’t seem immediately relevant to research skills, remember that there are a lot of experts out there. Knowing what people’s areas of expertise and asking for help can be tremendously beneficial — especially if it’s a subject you’re unfamiliar with.

Your coworkers are going to have different areas of expertise than you do, and your network of people will as well. You may even know someone who knows someone who’s knowledgeable in the area you’re researching. Most people are happy to share their expertise, as it’s usually also an area of interest to them.

Networking involves: Remembering people’s areas of expertise Being willing to ask for help Communication Returning favors Making use of advice Asking for specific assistance

Attention to detail. Research is inherently precise. That means that you need to be attentive to the details, both in terms of the information you’re gathering, but also in where you got it from. Making errors in statistics can have a major impact on the interpretation of the data, not to mention that it’ll reflect poorly on you.

There are proper procedures for citing sources that you should follow. That means that your sources will be properly credited, preventing accusations of plagiarism. In addition, it means that others can make use of your research by returning to the original sources.

Attention to detail includes: Double checking statistics Taking notes Keeping track of your sources Staying organized Making sure graphs are accurate and representative Properly citing sources

As with many professional skills, research skills serve us in our day to day life. Any time you search for information on the internet, you’re doing research. That means that you’re practicing it outside of work as well. If you want to continue improving your research skills, both for professional and personal use, here are some tips to try.

Differentiate between source quality. A researcher is only as good as their worst source. Start paying attention to the quality of the sources you use, and be suspicious of everything your read until you check out the attributions and works cited.

Be critical and ask yourself about the author’s bias, where the author’s research aligns with the larger body of verified research in the field, and what publication sponsored or published the research.

Use multiple resources. When you can verify information from a multitude of sources, it becomes more and more credible. To bolster your faith in one source, see if you can find another source that agrees with it.

Don’t fall victim to confirmation bias. Confirmation bias is when a researcher expects a certain outcome and then goes to find data that supports this hypothesis. It can even go so far as disregarding anything that challenges the researcher’s initial hunch. Be prepared for surprising answers and keep an open mind.

Be open to the idea that you might not find a definitive answer. It’s best to be honest and say that you found no definitive answer instead of just confirming what you think your boss or coworkers expect or want to hear. Experts and good researchers are willing to say that they don’t know.

Stay organized. Being able to cite sources accurately and present all your findings is just as important as conducting the research itself. Start practicing good organizational skills , both on your devices and for any physical products you’re using.

Get specific as you go. There’s nothing wrong with starting your research in a general way. After all, it’s important to become familiar with the terminology and basic gist of the researcher’s findings before you dig down into all the minutia.

A job interview is itself a test of your research skills. You can expect questions on what you know about the company, the role, and your field or industry more generally. In order to give expert answers on all these topics, research is crucial.

Start by researching the company . Look into how they communicate with the public through social media, what their mission statement is, and how they describe their culture.

Pay close attention to the tone of their website. Is it hyper professional or more casual and fun-loving? All of these elements will help decide how best to sell yourself at the interview.

Next, research the role. Go beyond the job description and reach out to current employees working at your desired company and in your potential department. If you can find out what specific problems your future team is or will be facing, you’re sure to impress hiring managers and recruiters with your ability to research all the facts.

Finally, take time to research the job responsibilities you’re not as comfortable with. If you’re applying for a job that represents increased difficulty or entirely new tasks, it helps to come into the interview with at least a basic knowledge of what you’ll need to learn.

Research projects require dedication. Being committed is a valuable skill for hiring managers. Whether you’ve had research experience throughout education or a former job, including it properly can boost the success of your resume .

Consider how extensive your research background is. If you’ve worked on multiple, in-depth research projects, it might be best to include it as its own section. If you have less research experience, include it in the skills section .

Focus on your specific role in the research, as opposed to just the research itself. Try to quantify accomplishments to the best of your abilities. If you were put in charge of competitor research, for example, list that as one of the tasks you had in your career.

If it was a particular project, such as tracking the sale of women’s clothing at a tee-shirt company, you can say that you “directed analysis into women’s clothing sales statistics for a market research project.”

Ascertain how directly research skills relate to the job you’re applying for. How strongly you highlight your research skills should depend on the nature of the job the resume is for. If research looks to be a strong component of it, then showcase all of your experience.

If research looks to be tangential, then be sure to mention it — it’s a valuable skill — but don’t put it front and center.

Example #1: Academic Research

Simon Marks 767 Brighton Blvd. | Brooklyn, NY, 27368 | (683)-262-8883 | [email protected] Diligent and hardworking recent graduate seeking a position to develop professional experience and utilize research skills. B.A. in Biological Sciences from New York University. PROFESSIONAL EXPERIENCE Lixus Publishing , Brooklyn, NY Office Assistant- September 2018-present Scheduling and updating meetings Managing emails and phone calls Reading entries Worked on a science fiction campaign by researching target demographic Organizing calendars Promoted to office assistant after one year internship Mitch’s Burgers and Fries , Brooklyn, NY Restaurant Manager , June 2014-June 2018 Managed a team of five employees Responsible for coordinating the weekly schedule Hired and trained two employees Kept track of inventory Dealt with vendors Provided customer service Promoted to restaurant manager after two years as a waiter Awarded a $2.00/hr wage increase SKILLS Writing Scientific Research Data analysis Critical thinking Planning Communication RESEARCH Worked on an ecosystem biology project with responsibilities for algae collection and research (2019) Lead a group of freshmen in a research project looking into cell biology (2018) EDUCATION New York University Bachelors in Biological Sciences, September 2016-May 2020

Example #2: Professional Research

Angela Nichols 1111 Keller Dr. | San Francisco, CA | (663)-124-8827 |[email protected] Experienced and enthusiastic marketer with 7 years of professional experience. Seeking a position to apply my marketing and research knowledge. Skills in working on a team and flexibility. EXPERIENCE Apples amp; Oranges Marketing, San Francisco, CA Associate Marketer – April 2017-May 2020 Discuss marketing goals with clients Provide customer service Lead campaigns associated with women’s health Coordinating with a marketing team Quickly solving issues in service and managing conflict Awarded with two raises totaling $10,000 over three years Prestigious Marketing Company, San Francisco, CA Marketer – May 2014-April 2017 Working directly with clients Conducting market research into television streaming preferences Developing marketing campaigns related to television streaming services Report writing Analyzing campaign success statistics Promoted to Marketer from Junior Marketer after the first year Timberlake Public Relations, San Francisco, CA Public Relations Intern – September 2013–May 2014 Working cohesively with a large group of co-workers and supervisors Note-taking during meetings Running errands Managing email accounts Assisting in brainstorming Meeting work deadlines EDUCATION Golden Gate University, San Francisco, CA Bachelor of Arts in Marketing with a minor in Communications – September 2009 – May 2013 SKILLS Marketing Market research Record-keeping Teamwork Presentation. Flexibility

What research skills are important?

Goal-setting and data collection are important research skills. Additional important research skills include:

Using different sources to analyze information.

Finding information on the internet.

Interviewing sources.

Writing reports.

Critical thinking.

Planning and scheduling.

Note-taking.

Managing time.

How do you develop good research skills?

You develop good research skills by learning how to find information from multiple high-quality sources, by being wary of confirmation bias, and by starting broad and getting more specific as you go.

When you learn how to tell a reliable source from an unreliable one and get in the habit of finding multiple sources that back up a claim, you’ll have better quality research.

In addition, when you learn how to keep an open mind about what you’ll find, you’ll avoid falling into the trap of confirmation bias, and by staying organized and narrowing your focus as you go (rather than before you start), you’ll be able to gather quality information more efficiently.

What is the importance of research?

The importance of research is that it informs most decisions and strategies in a business. Whether it’s deciding which products to offer or creating a marketing strategy, research should be used in every part of a company.

Because of this, employers want employees who have strong research skills. They know that you’ll be able to put them to work bettering yourself and the organization as a whole.

Should you put research skills on your resume?

Yes, you should include research skills on your resume as they are an important professional skill. Where you include your research skills on your resume will depend on whether you have a lot of experience in research from a previous job or as part of getting your degree, or if you’ve just cultivated them on your own.

If your research skills are based on experience, you could put them down under the tasks you were expected to perform at the job in question. If not, then you should likely list it in your skills section.

University of the People – The Best Research Skills for Success

Association of Internet Research Specialists — What are Research Skills and Why Are They Important?

MasterClass — How to Improve Your Research Skills: 6 Research Tips

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Sky Ariella is a professional freelance writer, originally from New York. She has been featured on websites and online magazines covering topics in career, travel, and lifestyle. She received her BA in psychology from Hunter College.

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What are research skills?

Last updated

26 April 2023

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Broadly, it includes a range of talents required to:

Find useful information

Perform critical analysis

Form hypotheses

Solve problems

It also includes processes such as time management, communication, and reporting skills to achieve those ends.

Research requires a blend of conceptual and detail-oriented modes of thinking. It tests one's ability to transition between subjective motivations and objective assessments to ensure only correct data fits into a meaningfully useful framework.

As countless fields increasingly rely on data management and analysis, polishing your research skills is an important, near-universal way to improve your potential of getting hired and advancing in your career.

Make research less tedious

Dovetail streamlines research to help you uncover and share actionable insights

What are basic research skills?

Almost any research involves some proportion of the following fundamental skills:

Organization

Decision-making

Investigation and analysis

Creative thinking

What are primary research skills?

The following are some of the most universally important research skills that will help you in a wide range of positions:

Time management — From planning and organization to task prioritization and deadline management, time-management skills are highly in-demand workplace skills.

Problem-solving — Identifying issues, their causes, and key solutions are another essential suite of research skills.

Critical thinking — The ability to make connections between data points with clear reasoning is essential to navigate data and extract what's useful towards the original objective.

Communication — In any collaborative environment, team-building and active listening will help researchers convey findings more effectively through data summarizations and report writing.

What are the most important skills in research?

Detail-oriented procedures are essential to research, which allow researchers and their audience to probe deeper into a subject and make connections they otherwise may have missed with generic overviews.

Maintaining priorities is also essential so that details fit within an overarching strategy. Lastly, decision-making is crucial because that's the only way research is translated into meaningful action.

• Why are research skills important?

Good research skills are crucial to learning more about a subject, then using that knowledge to improve an organization's capabilities. Synthesizing that research and conveying it clearly is also important, as employees seek to share useful insights and inspire effective actions.

Effective research skills are essential for those seeking to:

Analyze their target market

Investigate industry trends

Identify customer needs

Detect obstacles

Find solutions to those obstacles

Develop new products or services

Develop new, adaptive ways to meet demands

Discover more efficient ways of acquiring or using resources

Why do we need research skills?

Businesses and individuals alike need research skills to clarify their role in the marketplace, which of course, requires clarity on the market in which they function in. High-quality research helps people stay better prepared for challenges by identifying key factors involved in their day-to-day operations, along with those that might play a significant role in future goals.

• Benefits of having research skills

Research skills increase the effectiveness of any role that's dependent on information. Both individually and organization-wide, good research simplifies what can otherwise be unwieldy amounts of data. It can help maintain order by organizing information and improving efficiency, both of which set the stage for improved revenue growth.

Those with highly effective research skills can help reveal both:

Opportunities for improvement

Brand-new or previously unseen opportunities

Research skills can then help identify how to best take advantage of available opportunities. With today's increasingly data-driven economy, it will also increase your potential of getting hired and help position organizations as thought leaders in their marketplace.

• Research skills examples

Being necessarily broad, research skills encompass many sub-categories of skillsets required to extrapolate meaning and direction from dense informational resources. Identifying, interpreting, and applying research are several such subcategories—but to be specific, workplaces of almost any type have some need of:

Searching for information

Attention to detail

Taking notes

Problem-solving

Communicating results

Time management

• How to improve your research skills

Whether your research goals are to learn more about a subject or enhance workflows, you can improve research skills with this failsafe, four-step strategy:

Make an outline, and set your intention(s)

Know your sources

Learn to use advanced search techniques

Practice, practice, practice (and don't be afraid to adjust your approach)

These steps could manifest themselves in many ways, but what's most important is that it results in measurable progress toward the original goals that compelled you to research a subject.

• Using research skills at work

Different research skills will be emphasized over others, depending on the nature of your trade. To use research most effectively, concentrate on improving research skills most relevant to your position—or, if working solo, the skills most likely have the strongest impact on your goals.

You might divide the necessary research skills into categories for short, medium, and long-term goals or according to each activity your position requires. That way, when a challenge arises in your workflow, it's clearer which specific research skill requires dedicated attention.

How can I learn research skills?

Learning research skills can be done with a simple three-point framework:

Clarify the objective — Before delving into potentially overwhelming amounts of data, take a moment to define the purpose of your research. If at any point you lose sight of the original objective, take another moment to ask how you could adjust your approach to better fit the original objective.

Scrutinize sources — Cross-reference data with other sources, paying close attention to each author's credentials and motivations.

Organize research — Establish and continually refine a data-organization system that works for you. This could be an index of resources or compiling data under different categories designed for easy access.

Which careers require research skills?

Especially in today's world, most careers require some, if not extensive, research. Developers, marketers, and others dealing in primarily digital properties especially require extensive research skills—but it's just as important in building and manufacturing industries, where research is crucial to construct products correctly and safely.

Engineering, legal, medical, and literally any other specialized field will require excellent research skills. Truly, almost any career path will involve some level of research skills; and even those requiring only minimal research skills will at least require research to find and compare open positions in the first place.

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Mastering Research Skills: A Cornerstone For Success In Science

Explore the importance of research skills in science. Learn critical thinking, reliable sources, search engine tips, and time management.

Research Skills are a cornerstone of success in science, encompassing the abilities necessary to navigate knowledge acquisition and extensive research. These skills not only facilitate the discovery of new information but also contribute to them being thoroughly analyzed and implemented. Let’s delve into critical research skills and see how they form the backbone of a thriving scientific career.

Understanding The Essence Of Research Skills

Research skills encompass the methodologies and competencies employed to gather, assess, and synthesize information effectively. These skills go beyond mere data collection; they involve critical thinking, reliable source identification, active listening, and proficient time management.

Related article: Mastering Critical Reading: Uncover The Art Of Analyzing Texts

Research skills constitute the backbone of any successful inquiry process, serving as a comprehensive toolkit that extends beyond the superficial gathering of information. Beyond the initial data accumulation phase, these skills embody a multidimensional approach. 

Research skills further encompass active listening — an often underestimated yet pivotal aspect — enabling researchers to glean valuable insights from conversations, lectures, or expert discussions. This skill ensures a holistic understanding of the subject matter, enriching the depth of information gathered and enhancing the overall research process.

The Merits Of Proficient Research Skills

The benefits of cultivating strong research skills extend beyond the individual researcher; they reverberate throughout academic and professional realms. One of the primary advantages is the empowerment to make informed decisions based on a thorough understanding of the available data. Researchers with honed skills can navigate through vast datasets with efficiency, identifying patterns and correlations that might elude those with less developed research acumen.

Moreover, these skills are instrumental in fostering innovation. The ability to synthesize information from various sources, coupled with critical thinking, allows researchers to envision new possibilities and alternative approaches to longstanding problems. This capacity for creative thinking is a hallmark of individuals with advanced research skills and is often the driving force behind groundbreaking discoveries and advancements in scientific knowledge.

In the professional sphere, individuals with strong research skills are valuable assets to organizations. Their ability to gather, evaluate, and apply information contributes to effective problem-solving and decision-making. In industries driven by technological advancements and data-driven insights, research skills are increasingly becoming a sought-after and indispensable trait in employees.

Cultivating Critical Thinking In Research Endeavors

Critical thinking is the cornerstone upon which the edifice of scientific inquiry stands. Beyond merely gathering information, it involves a systematic approach to analyzing, evaluating, and interpreting data. This skill equips researchers with the ability to discern patterns, spot anomalies, and derive meaningful conclusions from complex datasets. Moreover, critical thinking in research facilitates the identification of potential biases, ensuring objectivity and rigor in the investigative process. It enables scientists to challenge established theories, fostering an environment of intellectual curiosity and continual exploration.

Also read: How To Avoid Bias In Research: Navigating Scientific Objectivity

Furthermore, honing critical thinking skills is essential in adapting to the rapidly evolving scientific landscape. As new information emerges and paradigms shift, researchers equipped with strong critical thinking abilities are better poised to adapt to changes, integrate new knowledge, and refine their approaches.

Why Critical Thinking Is Paramount In Research

In the realm of scientific inquiry, critical thinking serves as the linchpin for discerning between reliable and fallacious information. It is the foundation for formulating hypotheses, design experiments and draw conclusions. By employing critical thinking skills, researchers can evaluate the validity of claims, weigh evidence objectively, and arrive at conclusions rooted in evidence-based reasoning. This approach safeguards against premature conclusions and ensures that scientific findings are based on robust analysis and thorough scrutiny.

Moreover, critical thinking promotes intellectual humility, encouraging researchers to remain open to alternative viewpoints and possibilities. It fosters a culture of constructive skepticism, wherein scientific claims are subject to continuous scrutiny and refinement. This aspect of critical thinking is pivotal in mitigating the influence of personal biases and fostering a collective pursuit of objective truth within the scientific community.

Related article: Thesis Conclusion: Making Your Research Paper Outstanding

Sharpening Critical Thinking Abilities

Improving critical thinking skills is an ongoing endeavor that involves deliberate practice and exposure to diverse perspectives. Engaging in activities that challenge assumptions, such as analyzing conflicting viewpoints or participating in debates, can sharpen critical thinking abilities. Additionally, fostering a habit of continuous learning and staying abreast of developments in various scientific domains can broaden perspectives, enhancing the ability to approach problems from different angles.

Moreover, encouraging interdisciplinary collaboration and engaging in discussions with peers from varied scientific backgrounds can stimulate critical thinking. Exposure to alternative methodologies and problem-solving approaches cultivates adaptability and a more nuanced understanding of complex scientific issues.

Navigating Reliable Sources In Scientific Inquiry

The art of identifying reliable sources is a skill that requires meticulous evaluation and discrimination. Apart from traditional peer-reviewed journals and reputable publications, researchers must discern the authenticity of online sources, considering factors like author expertise, publication credibility, and potential biases. Furthermore, acknowledging the significance of preprint articles while discerning their limitations is pivotal in staying updated with the latest scientific developments.

Criteria For Reliable Sources

Developing a keen eye for distinguishing credible sources from unreliable ones is crucial. Encouragingly, initiatives promoting media literacy and critical evaluation of sources are gaining traction, empowering individuals to navigate the digital landscape more discerningly.

Reliable sources in scientific research adhere to stringent criteria, embodying credibility, accuracy, objectivity, and relevance. Peer-reviewed journals, known for their rigorous editorial and review processes, serve as gold standards in academic research. Additionally, reputable institutions and recognized experts within specific scientific fields contribute to the authenticity of information.

Understanding the underlying criteria for determining source reliability allows researchers to make informed decisions about the veracity and applicability of the information they encounter. This discernment, crucial in an era flooded with information, is fundamental to upholding the integrity of scientific inquiry.

Discerning And Assessing Reliable Sources

Developing the ability to discern credible sources involves a multifaceted approach. Understanding the context in which the information is and cross-referencing it with multiple reliable sources adds layers of validation, ensuring the reliability and accuracy of the information gathered.

Furthermore, distinguishing between primary and secondary sources aids in the assessment process. While primary sources offer firsthand information or original research findings, secondary sources interpret and analyze primary data. Recognizing the nuances between these sources is pivotal in grasping the depth and breadth of scientific information.

Harnessing The Power Of Search Engines In Research

In the digital age, search engines serve as gateways to an expansive pool of information. Leveraging these tools efficiently necessitates familiarity with advanced search techniques. Utilizing specific search operators, employing filters, and refining search queries enable researchers to access targeted and relevant information swiftly. Moreover, being mindful of the credibility of the websites accessed via search engines ensures the reliability of the gathered data.

Despite the convenience offered by search engines, researchers must approach the results with a critical lens. Verifying the sources’ credibility and cross-referencing information from various reputable sources remains imperative. Search engines, while valuable, are tools that require adept navigation to extract credible and pertinent information effectively.

Maximizing Search Engine Efficiency

Understanding the nuances of different search engines tailored for scientific research, such as PubMed, Google Scholar, and Scopus, can significantly enhance the efficiency of the research process. Each search engine has unique functionalities and focuses, catering to specific scientific disciplines or types of information. Familiarizing oneself with these platforms and their features empowers researchers to optimize their search strategies and access specialized resources pertinent to their field of study.

Related article: The Importance of Scholarly Sources: How to Find and Evaluate

Moreover, utilizing advanced search parameters, such as Boolean operators or specific filters, allows researchers to refine their searches and access highly targeted information. Learning and applying these techniques enhance the precision and relevance of the obtained results, streamlining the research process and saving valuable time.

Active Listening: A Crucial Research Skill

Active listening extends beyond the conventional perception of listening; it involves a focused and deliberate effort to comprehend and assimilate information effectively. During the research process, active listening plays a pivotal role, particularly when gathering insights from expert discussions, interviews, or academic lectures. It demands undivided attention, keen observation, and an open-minded approach to absorb the nuances and key concepts communicated by the speaker.

Furthermore, active listening isn’t solely about hearing words; it encompasses deciphering underlying meanings, interpreting tone and context, and probing for additional information. This skill enhances the depth and quality of information garnered, ensuring a more holistic understanding of the subject matter.

Engaging In Active Listening During Research

Researchers can refine active listening skills by actively engaging in discussions, seeking clarification when necessary, and taking comprehensive notes. Encouraging dialogue and posing pertinent questions fosters a deeper engagement in the information communicated. Additionally, employing techniques such as summarizing key points or paraphrasing to confirm understanding promotes effective communication and comprehension.

Moreover, employing active listening skills aids researchers in identifying underlying implications and nuances in conversations. It contributes to the extraction of invaluable insights and perspectives, enriching the research process and broadening the scope of information gathered.

Time Management: A Prerequisite For Effective Research

Time management skills are indispensable for researchers seeking to optimize their productivity and efficiency. Successful research requires careful planning and allocation of time for various research phases, including data collection, analysis, experimentation, and documentation.

Efficient time management involves setting realistic goals, establishing priorities, and adhering to structured timelines. Breaking down larger research tasks into manageable segments not only prevents overwhelm but also ensures a systematic approach towards achieving milestones.

Also read: Time Management for Researchers: A Comprehensive Toolkit

Efficient Time Management Strategies

Adopting strategies like creating timelines, setting deadlines for specific research milestones, and maintaining a structured schedule helps researchers stay focused and organized. Furthermore, allocating dedicated time slots for research activities prevents procrastination and promotes consistent progress.

Moreover, embracing tools and techniques that aid in time management, such as calendar applications, task management software, or productivity frameworks like the Pomodoro Technique , can significantly enhance efficiency in research endeavors.

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10 Research Skills and How To Develop Them

• Updated December 25, 2023
• Published August 8, 2023

Are you looking to learn more about Research skills? In this article, we discuss Research skills in more detail and give you tips about how you can develop and improve them.

What are Research skills?

Research skills refer to the ability to effectively and efficiently gather, analyze, and synthesize information to answer questions, solve problems, or contribute to a body of knowledge. These skills are essential for various fields and disciplines, ranging from academic and scientific research to business, journalism, and beyond. Effective research skills involve several key components:

Information Retrieval

Source evaluation.

• Critical Thinking

Data Analysis

Problem formulation, organization and note-taking, synthesis and writing, ethical considerations, time management.

• Adaptability

Top 10 Research Skills

Below we discuss the top 10 Research skills. Each skill is discussed in more detail, and we will also give you tips on improving them.

Information Retrieval is all about mastering the art of finding relevant and credible sources of information to support your research goals. This skill involves using various online and offline tools to locate the data, articles, studies, and materials that are most pertinent to your research topic. It’s like being a detective for knowledge – you’re trying to uncover valuable insights that will contribute to your research project.

To excel in Information Retrieval, you must become adept at effectively using search engines, databases, libraries, and other resources. It’s not just about typing keywords into a search bar; it’s about understanding how to refine your searches, use advanced search operators, and explore different databases and sources.

You’ll need to evaluate the quality and reliability of sources to ensure that the information you gather is trustworthy and accurate. This skill also requires critical thinking, as you’ll need to assess the relevance of sources to your research objectives.

How to Improve Information Retrieval

Improving your Information Retrieval skills involves a combination of practice, strategy, and awareness. Start by familiarizing yourself with different research databases and libraries relevant to your field. Experiment with various search terms and use advanced search operators to narrow down results. Take the time to evaluate the credibility of sources – look for peer-reviewed articles, authoritative authors, and reliable institutions. Keep track of your searches and results to refine your strategies over time.

Stay updated with the latest developments in search technology and research databases to optimize your information retrieval process. Remember, the more you practice and fine-tune your approach, the better you’ll become at uncovering valuable gems of information for your research endeavors.

Source Evaluation is about becoming a discerning judge of the information you encounter during your research journey. It involves assessing the credibility, reliability, and relevance of the sources you come across, ensuring that you’re building your work on a foundation of trustworthy and accurate information. Think of yourself as a gatekeeper, using only the most reliable and relevant sources to support your research.

You need to develop a critical eye to enhance your Source Evaluation skills. Begin by examining the authorship – who wrote the source, and what are their credentials? Peer-reviewed articles from established researchers are more reliable than anonymous blog posts. Consider the publication source – is it a reputable journal or website in your field?

Next, look for citations and references within the source – a well-researched work will often cite other credible sources. Additionally, evaluate the publication date – while older sources can provide historical context, ensure you’re using recent information for up-to-date insights.

How to Improve Source Evaluation

Improving your Source Evaluation skills requires a combination of awareness and practice. As you encounter new sources, ask questions about their credibility and relevance. Do evidence and references support the information? Does the author have any potential biases? Take advantage of critical thinking to analyze the source’s overall quality.

To further refine your skills, seek guidance from mentors, professors, or librarians who can provide valuable insights into evaluating sources. The more you engage with this skill, the better you’ll become at building a solid foundation for your research with credible and reliable materials.

Critical Thinking is the intellectual toolset that empowers you to analyze information objectively, discern patterns, and draw well-informed conclusions based on evidence. It’s like being a detective for ideas – you sift through data, identify biases, and unravel complexities to make informed judgments that drive your research forward with clarity and precision.

To hone your Critical Thinking skills, you need to cultivate a curious and analytical mindset. Start by questioning assumptions and biases in both your own thinking and the information you encounter.

When evaluating sources, consider multiple viewpoints and sources of evidence before forming conclusions. Develop the ability to identify logical fallacies or weak arguments that may distort the validity of your findings. Embrace open-mindedness and be willing to adapt your ideas when faced with compelling evidence that challenges your initial perspective.

How to Improve Critical Thinking

Improving your Critical Thinking skills requires practice and deliberate effort. Engage in discussions and debates within your field and beyond to expose yourself to diverse perspectives and sharpen your ability to analyze complex issues. Regularly challenge yourself to critically evaluate information, whether it’s a news article, a research paper, or a colleague’s argument.

Seek feedback from mentors or peers to refine your critical thinking process and identify areas for improvement. Remember, Critical Thinking is an ongoing journey that can be developed over time – the more you engage with it, the more adept you’ll become at navigating the intricate landscape of ideas in your research endeavors.

Related :  Critical Thinking Interview Questions & Answers

Data Analysis is the art of processing, interpreting, and extracting meaningful insights from the raw information you’ve collected during your research journey. Think of it as deciphering a puzzle – you’re transforming numbers, observations, or qualitative data into a coherent narrative that answers your research questions and adds value to your work.

To excel in Data Analysis, you need to develop both quantitative and qualitative skills. For quantitative data, embrace statistical tools and techniques that help you identify trends, correlations, and patterns in your data sets. Practice using software like Excel, SPSS, or specialized tools for your field to perform statistical tests and visualize results effectively. For qualitative data, immerse yourself in the details, coding and categorizing themes to distill rich insights from textual or visual sources.

How to Improve Data Analysis

Improving your Data Analysis skills involves a combination of practice, learning, and refining your techniques. Start by immersing yourself in the basics of statistics and data analysis methodologies relevant to your research field. Engage in tutorials and online courses to familiarize yourself with various tools and software. As you analyze data, maintain clear documentation of your process and decisions, which will be crucial when presenting your findings.

Collaborate with peers or mentors who are experienced in data analysis to gain insights and feedback on your techniques. Remember, Data Analysis is about transforming data into knowledge – the more you engage with this skill, the better you’ll become at uncovering valuable insights that contribute to the depth and impact of your research.

Related :  Research Interview Questions & Answers

Problem Formulation is like setting the compass for your research journey – it involves defining clear and focused research questions or hypotheses that guide your entire investigation. Consider it the foundation of your work, as it shapes your approach, methods, and the ultimate impact of your research.

To master Problem Formulation, you need to become skilled in asking the right questions. Begin by thoroughly understanding the topic you’re exploring. What gaps or uncertainties do you notice in the existing knowledge? What specific aspect of the topic piques your interest? Craft research questions that are specific, measurable, achievable, relevant, and time-bound (SMART).

If you’re developing hypotheses, ensure they are testable and grounded in existing theories or observations. Your skills in Problem Formulation also extend to identifying the scope and boundaries of your research – understanding what you’re including and excluding from your study.

How to Improve Problem Formulation

Improving your Problem Formulation skills requires practice and iterative refinement. Start by conducting a comprehensive literature review to understand the existing research landscape in your area. This will help you identify potential gaps and formulate questions that build upon existing knowledge.

Discuss with peers, mentors, or experts in your field to gain different perspectives and insights into potential research problems. As you develop your skills, be open to revising and refining your research questions based on new information or insights. Remember, Problem Formulation is the compass that guides your research journey – the more you invest in crafting clear and well-defined questions, the more impactful and focused your research will be.

Related :  10 Fact Finding Skills and How to Develop Them

Imagine these skills as your research toolkit for maintaining order amidst the vast sea of information you encounter. Organization involves structuring and managing your research materials, while Note-Taking ensures you capture valuable insights and details for future reference. Together, they help you stay on track and prevent valuable information from slipping through the cracks.

To excel in Organization and Note-Taking, you need to develop strategies that work best for you. Start by creating a systematic folder structure on your computer to store digital documents, articles, and data sets. For physical materials, consider using labeled folders or binders. As you gather information, employ tools like reference management software to keep track of your sources and generate citations efficiently.

Simultaneously, practice effective Note-Taking during your readings and research. Jot down key points, ideas, and relevant quotes in a structured format, whether you’re using a physical notebook or a digital note-taking app.

How to Improve Organization and Note-Taking

Improving your Organization and Note-Taking skills requires a mix of discipline and adaptability. Establish consistent routines for organizing research materials, updating folders, and managing citations. Regularly review and reorganize your notes to keep them relevant and accessible. Experiment with different note-taking techniques, such as outlining, summarizing, or mind mapping, to find the approach that aligns with your learning style.

Remember, Organization and Note-Taking are your allies in navigating the sea of information – the more you refine these skills, the smoother your research journey will become and the more confident you’ll be in tackling complex topics.

Synthesis and Writing are your means of weaving together the threads of information and insights you’ve collected into a coherent and impactful narrative. Think of it as crafting a masterpiece from the puzzle pieces of your research – you’re presenting your findings, analysis, and conclusions in a way that informs and engages your audience.

To excel in Synthesis and Writing, you must become a data and idea storyteller. Begin by outlining your research paper or report. Organize your findings logically, building a structured framework that guides your reader through your research journey. Ensure each section flows smoothly, connecting the dots between concepts and evidence. While writing, focus on clarity and conciseness – avoid jargon and convoluted language that may confuse your readers. Use effective transitions to guide them from one point to the next.

How to Improve Synthesis and Writing

Improving your Synthesis and Writing skills requires both practice and revision. Start by breaking down the writing process into manageable steps – drafting, revising, and editing. Give yourself time between drafting and revising to approach your work with fresh eyes. Critically evaluate your writing for clarity, coherence, and accuracy during revision.

Consider seeking feedback from peers, mentors, or writing centers to gain insights into improving your writing style. Study well-written papers in your field to observe how experienced researchers present their ideas effectively. Remember, Synthesis and Writing are your tools for communicating your research’s impact – the more you refine these skills, the more effectively you’ll share your discoveries and contribute to the body of knowledge in your field.

Ethical Considerations encompass the principles and guidelines that ensure your research is conducted with integrity, respect for participants’ rights, and a commitment to transparency. Think of it as the moral compass that guides your research journey, ensuring that your work upholds ethical standards and contributes positively to society.

To excel in Ethical Considerations, you need to become a guardian of ethical integrity in your research. Begin by understanding the ethical guidelines and regulations specific to your field and your research type. This involves respecting participants’ autonomy by obtaining informed consent, protecting their privacy and confidentiality, and ensuring they’re treated with dignity. Additionally, uphold intellectual honesty by properly attributing sources, avoiding plagiarism, and disclosing any potential conflicts of interest.

How to Improve Ethical Considerations

Improving your Ethical Considerations skills involves a combination of awareness and vigilance. Regularly educate yourself on the ethical codes and regulations relevant to your field and research methods. When designing your research, carefully plan how you will address ethical concerns and potential risks.

As you conduct your research, stay attuned to any ethical dilemmas that may arise and be prepared to address them appropriately. Remember, Ethical Considerations are at the heart of responsible research – the more you cultivate these skills, the more your work will contribute positively to both your field and society as a whole.

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Time Management involves the art of effectively allocating your time to different research tasks, ensuring that you meet deadlines, stay on track, and maintain a balanced workflow. Think of it as your compass for navigating the often-intricate landscape of research – it helps you stay organized, productive, and in control of your research journey.

To excel in Time Management, you need to become a master of planning and prioritization. Start by breaking down your research project into manageable tasks and setting realistic goals for each stage. Create a schedule that allocates research, data collection, analysis, writing, and revision time. Be mindful of your energy levels – tackle complex tasks during your most productive hours. Embrace tools like to-do lists, calendars, and time-tracking apps to keep yourself accountable and stay aware of your progress.

How to Improve Time Management

Improving your Time Management skills requires consistent practice and self-awareness. Continuously assess your progress against your planned schedule, adjusting as needed to accommodate unexpected challenges or new insights. Develop the skill of saying no to distractions and non-essential tasks that can derail your focus.

Break larger tasks into smaller, more manageable chunks to prevent feeling overwhelmed. Regularly reflect on your time allocation and efficiency – what strategies are working well, and where can you improve? Remember, Time Management is a skill that can significantly impact your research journey – the more you refine it, the more you’ll find yourself navigating your work with greater ease and achieving your research goals with greater success.

Related :  10 Coordinating Skills and How to Develop Them

Adaptability is the ability to flex and evolve in response to changing circumstances, unexpected findings, and new information that arise during your research journey. Think of it as your compass for navigating the dynamic and ever-changing landscape of research – it empowers you to embrace uncertainty and adjust your course to ensure the best outcomes for your work.

To excel in Adaptability, you need to cultivate a mindset that embraces change and seeks opportunities within challenges. Start by acknowledging that research is often full of surprises and plans might need to shift. Develop a sense of resilience by staying open to revising your research questions, altering methodologies, or exploring unanticipated angles.

Being adaptable also means being resourceful – finding alternative approaches when things don’t go as planned. Embrace feedback from peers, mentors, or unexpected results, and be ready to integrate this feedback to improve the quality of your research.

How to Improve Adaptability

Improving your Adaptability skills involves practicing flexibility and embracing a growth mindset. Regularly reassess your research plan and objectives in light of new information or developments. Embrace failures and setbacks as opportunities for learning and growth rather than roadblocks. Seek out interdisciplinary perspectives and engage with new ideas that challenge your assumptions.

As you navigate through unexpected turns, continuously reflect on what you’ve learned and how you’ve adapted, so you can refine your approach in the future. Remember, Adaptability is the key to thriving in the dynamic landscape of research – the more you foster this skill, the better equipped you’ll be to tackle unforeseen challenges and emerge stronger from your research journey.

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Research Skills Conclusion

In the pursuit of knowledge and discovery, honing research skills is the linchpin that sets the stage for success. Throughout this exploration of various research skills and how to nurture them, one thing becomes evident: deliberate practice and continuous improvement are the bedrock of growth. Developing research skills is not merely a checkbox to mark; it’s a journey that empowers you to excel in your field, make meaningful contributions, and amplify the impact of your work.

Improving these skills isn’t just an option – it’s a necessity in today’s job market. The ability to gather information effectively, critically evaluate sources, analyze data, formulate problems, synthesize findings, and more, transforms the research process from a mere task into a dynamic and transformative experience. These skills serve as the pillars that uphold the credibility and validity of your work, ensuring that your contributions stand the test of scrutiny and time.

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How to become a researcher

Is becoming a researcher right for me.

The first step to choosing a career is to make sure you are actually willing to commit to pursuing the career. You don’t want to waste your time doing something you don’t want to do. If you’re new here, you should read about:

Still unsure if becoming a researcher is the right career path? Take the free CareerExplorer career test to find out if this career is right for you. Perhaps you are well-suited to become a researcher or another similar career!

Described by our users as being “shockingly accurate”, you might discover careers you haven’t thought of before.

How to become a Researcher

Becoming a researcher typically requires a combination of education, training, and experience. Here is a detailed guide on how to become a researcher:

• Choose a field: The first step in becoming a researcher is to choose a field of study. This can include areas such as science, social sciences, humanities, or business.
• Get a Bachelor's Degree: Most researchers have at least a bachelor's degree in their chosen field. During undergraduate studies, students should focus on taking courses that align with their research interests and develop skills such as critical thinking, data analysis, and research methods.
• Pursue Graduate Studies: A graduate degree is often required to become a researcher. Depending on the field, a master's degree or Ph.D. may be necessary. Graduate programs typically involve coursework, research, and the development of a thesis or dissertation.
• Gain Research Experience: Research experience is critical in becoming a researcher. Students can gain experience by working as research assistants, participating in internships, or volunteering in research projects. This can provide valuable hands-on experience and help build a professional network.
• Develop Research Skills: Researchers need a wide range of skills, including critical thinking, data analysis, and communication skills. It is important to develop these skills by taking courses, attending workshops, and participating in research projects.
• Build a Professional Network: Networking is crucial in the field of research. Attend conferences, seminars, and other events to meet other researchers and build relationships. This can also help with finding research opportunities.
• Apply for Research Jobs: Once the necessary education and experience have been gained, it is time to start applying for research jobs. Look for positions in academic institutions, government agencies, non-profit organizations, and private companies.
• Publish Research: Publishing research is an important part of being a researcher. This involves writing up research findings and submitting them to academic journals or presenting them at conferences.
• Continue Professional Development: Researchers must keep up with the latest developments in their field. This involves continuing education, attending conferences, and networking with other professionals.

Associations There are many associations and organizations for researchers that offer networking opportunities, professional development resources, and other benefits. Here are just a few examples of associations for researchers:

• American Association for the Advancement of Science (AAAS): The AAAS is the world's largest multidisciplinary scientific society, with a mission to advance science and serve society through initiatives in science policy, education, and public engagement. The organization offers a range of resources and benefits for researchers, including access to scientific journals, career development resources, and networking opportunities.
• Association for Computing Machinery (ACM): The ACM is a professional organization for computer scientists and researchers. The organization offers conferences, publications, and other resources to support research in the field of computing.
• American Psychological Association (APA): The APA is a professional organization for psychologists and researchers in psychology. The organization offers publications, conferences, and other resources to support research in the field.
• Society for Neuroscience (SfN): The SfN is a professional organization for researchers in neuroscience. The organization offers conferences, publications, and other resources to support research in the field.
• Association for Research in Vision and Ophthalmology (ARVO): The ARVO is a professional organization for researchers in vision and ophthalmology. The organization offers conferences, publications, and other resources to support research in the field.
• Society for Industrial and Organizational Psychology (SIOP): The SIOP is a professional organization for researchers in industrial and organizational psychology. The organization offers conferences, publications, and other resources to support research in the field.

Online Resources There are many online resources available for researchers that can help them stay up-to-date with the latest research, find funding opportunities, collaborate with other researchers, and more. Here are some examples of online resources for researchers:

• Google Scholar: Google Scholar is a free search engine that provides access to scholarly literature, including articles, theses, books, and conference papers. Researchers can use Google Scholar to find relevant research articles and track citations of their own work.
• ResearchGate: ResearchGate is a social networking site for researchers that allows them to connect with other researchers, share research, and ask and answer questions. Researchers can use ResearchGate to collaborate with other researchers and get feedback on their work.
• PubMed: PubMed is a free search engine for biomedical literature, including articles, books, and conference papers. Researchers can use PubMed to find relevant research articles in the field of medicine and health.
• arXiv: arXiv is an online archive of preprints in the fields of physics, mathematics, computer science, quantitative biology, and statistics. Researchers can use arXiv to share their work before it is published in a peer-reviewed journal.
• GrantForward: GrantForward is a database of funding opportunities for researchers in all fields. Researchers can use GrantForward to search for funding opportunities and set up alerts for new opportunities in their field.
• Open Science Framework (OSF): OSF is an online platform for managing and sharing research. Researchers can use OSF to manage their data, collaborate with others, and share their work openly.

Discover the nine competencies required to become a researcher

What essential skills do researchers need? For those just starting on the road to research, breaking the process down into achievable and measurable milestones can help

Cynthia López

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When studying education, researchers often face the challenge of trying to figure out what, how and when to research, often believing that if a researcher is not an expert in a specific area, they are unable to carry out research on it. However, certain core competencies can help you effectively research any topic related to your teaching practice, as well as incorporate technological and/or pedagogical trends.

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Several models outline the basic knowledge and competencies that a professional (in this case, a teacher) must have in order to carry out research, including the LART model suggested by Luis Arturo Rivas-Tovar , which lists the key competencies as:

• The ability to state a research problem : start from what is known and move to what is desired to be known.
• Know how to elaborate a contextual framework : analyse how the stated problem occurs within a whole and in the context you want to research.
• Examine the state of the art : review what is already known about the defined problem in the literature in order to aid the search for new knowledge. Each part of the problem must be studied separately.
• Prepare and validate data collection instruments: while considering the objective of the study, define the type of research best suited to it, the instrument(s) to be used, and the individuals who will validate and answer them.
• Build a research model: once you have visualised the problem or event to be researched, establish the process you will follow to analyse it and achieve the study objectives.
• Know how to analyse the data obtained: recognise that different techniques are available to process the results, which are linked to the type of research and the scale used in the data collection instruments.
• Know how to write scientific articles : any professional researcher must learn the citation styles: MLA (for literature), CBE (for basic sciences) and APA (for social sciences). Write briefly and concisely and use the IMRaD structure (introduction, method, results and discussion) to present your work.
• Present your results at a conference:  this ability means the new knowledge will be communicated and, most likely, doors will be opened to exchange experiences with other researchers – in this case, teachers from different disciplines and educational institutions.
• Master a second language : English is the universal language, so it is necessary to learn it to be able to communicate in international journals or at conferences.

These nine skills can help guide professionals interested in researching teaching, although they can also, of course, be applied to almost any field. Even if you do not have a particularly scientific profile, they can help instigate a critical view of any topic or event, even one already defined or being tested.

Indeed, as educational engineers, we often analyse educational models to help gauge the impact of pedagogical innovations.

But for what purpose? To answer, here are three key reasons that can apply to any research:

• To gain in-depth knowledge of a topic, event or situation and visualise the place each of its components occupies.
• To communicate the knowledge obtained to the people involved to help them grasp the scope of their participation in the field studied.
• To help make decisions that favour or produce changes in the object/subject of research.

These three purposes, I think, show the usefulness of the nine competencies. They can help us detect strengths as well as opportunities for improvement – and provide the information needed to adjust or optimise.

Finally, the central argument for mastering these nine competencies is that it demonstrates the commitment and passion that any person, whether they are a researcher or not, must put into a field they want to know better. Only through displaying the correct level of rigour can we prepare to find and then solve those aspects of education (or any other field) that remain to be discovered.

Cynthia López is an educational engineer at Monterrey Institute of Technology, Mexico.

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Research Skills: What they are and Benefits

Research skills play a vital role in the success of any research project, enabling individuals to navigate the vast sea of information, analyze data critically, and draw meaningful conclusions. Whether conducting academic research, professional investigations, or personal inquiries, strong research skills are essential for obtaining accurate and reliable results.

LEARN ABOUT:   Research Process Steps

By understanding and developing these skills, individuals can embark on their research endeavors with confidence, integrity, and the capability to make meaningful contributions in their chosen fields. This article will explore the importance of research skills and discuss critical competencies necessary for conducting a research project effectively.

Content Index

What are Research Skills?

Important research skills for research project, benefits of research skills.

• Improving your Research Skills

Talk to Experts to Improve Skills

Research skills are the capability a person carries to create new concepts and understand the use of data collection. These skills include techniques, documentation, and interpretation of the collected data. Research is conducted to evaluate hypotheses and share the findings most appropriately. Research skills improve as we gain experience.

To conduct efficient research, specific research skills are essential. These skills are necessary for companies to develop new products and services or enhance existing products. To develop good research skills is important for both the individual as well as the company.

When undertaking a research project, one must possess specific important skills to ensure the project’s success and accuracy. Here are some essential research skills that are crucial for conducting a project effectively:

Time Management Skills:

Time management is an essential research skill; it helps you break down your project into parts and enables you to manage it easier. One can create a dead-line oriented plan for the research project and assign time for each task. Time management skills include setting goals for the project, planning and organizing functions as per their priority, and efficiently delegating these tasks.

Communication Skills:

These skills help you understand and receive important information and also allow you to share your findings with others in an effective manner. Active listening and speaking are critical skills for solid communication. A researcher must have good communication skills.

Problem-Solving:  

The ability to handle complex situations and business challenges and come up with solutions for them is termed problem-solving. To problem-solve, you should be able to fully understand the extent of the problem and then break it down into smaller parts. Once segregated into smaller chunks, you can start thinking about each element and analyze it to find a solution.

Information gathering and attention to detail:

Relevant information is the key to good research design . Searching for credible resources and collecting information from there will help you strengthen your research proposal and drive you to solutions faster. Once you have access to information, paying close attention to all the details and drawing conclusions based on the findings is essential.

Research Design and Methodology :

Understanding research design and methodology is essential for planning and conducting a project. Depending on the research question and objectives, researchers must select appropriate research methods, such as surveys, experiments, interviews, or case studies. Proficiency in designing research protocols, data collection instruments, and sampling strategies is crucial for obtaining reliable and valid results.

Data Collection and Analysis :

Researchers should be skilled in collecting and analyzing data accurately. It involves designing data collection instruments, collecting data through various methods, such as surveys or observations, and organizing and analyzing the collected data using appropriate statistical or qualitative analysis techniques. Proficiency in using software tools like SPSS, Excel, or qualitative analysis software can be beneficial.

By developing and strengthening these research skills, researchers can enhance the quality and impact of their research process, contributing to good research skills in their respective fields.

Research skills are invaluable assets that can benefit individuals in various aspects of their lives. Here are some key benefits of developing and honing research skills:

Boosts Curiosity :

Curiosity is a strong desire to know things and a powerful learning driver. Curious researchers will naturally ask questions that demand answers and will stop in the search for answers. Interested people are better listeners and are open to listening to other people’s ideas and perspectives, not just their own.

Cultivates Self-awareness :

As well as being aware of other people’s subjective opinions, one must develop the importance of research skills and be mindful of the benefits of awareness research; we are exposed to many things while researching. Once we start doing research, the benefit from it reflects on the beliefs and attitudes and encourages them to open their minds to other perspectives and ways of looking at things.

Effective Communication:

Research skills contribute to practical communication skills by enhancing one’s ability to articulate ideas, opinions, and findings clearly and coherently. Through research, individuals learn to organize their thoughts, present evidence-based arguments, and effectively convey complex information to different audiences. These skills are crucial in academic research settings, professional environments, and personal interactions.

Personal and Professional Growth :

Developing research skills fosters personal and professional growth by instilling a sense of curiosity, intellectual independence, and a lifelong learning mindset. Research encourages individuals to seek knowledge, challenge assumptions, and embrace intellectual growth. These skills also enhance adaptability as individuals become adept at navigating and assimilating new information, staying updated with the latest developments, and adjusting their perspectives and strategies accordingly.

Academic Success:

Research skills are essential for academic research success. They enable students to conduct thorough literature reviews, gather evidence to support their arguments, and critically evaluate existing research. By honing their research skills, students can produce well-structured, evidence-based essays, projects, and dissertations demonstrating high academic research rigor and analytical thinking.

Professional Advancement:

Research skills are highly valued in the professional world. They are crucial for conducting market research, analyzing trends, identifying opportunities, and making data-driven decisions. Employers appreciate individuals who can effectively gather and analyze information, solve complex problems, and provide evidence-based recommendations. Research skills also enable professionals to stay updated with advancements in their field, positioning themselves as knowledgeable and competent experts.

Developing and nurturing research skills can significantly benefit individuals in numerous aspects of their lives, enabling them to thrive in an increasingly information-driven world.

Improving Your Research Skills

There are many things you can do to improve your research skills and utilize them in your research or day job. Here are some examples:

• Develop Information Literacy: Strengthening your information literacy skills is crucial for conducting thorough research. It involves identifying reliable sources, evaluating the credibility of information, and navigating different research databases.
• Enhance Critical Thinking: Critical thinking is an essential skill for effective research. It involves analyzing information, questioning assumptions, and evaluating arguments. Practice critical analysis by analyzing thoughtfully, identifying biases, and considering alternative perspectives.
• Master Research Methodologies: Familiarize yourself with different research methodologies relevant to your field. Whether it’s qualitative, quantitative, or mixed methods research, realizing the strengths and limitations of each approach is crucial.
• Practice Effective Time Management: Research requires dedicated time and effort. Develop good time management skills to ensure that you allocate sufficient time for each stage of the research process, including planning, data collection, analysis, and writing.
• Embrace Collaboration: Collaborating with peers and colleagues can provide a fresh perspective and enrich your research experience. Engage in discussions, share ideas, and seek feedback from others. Collaborative projects allow for exchanging knowledge and skills.
• Continuously Update Your Knowledge: Stay informed about your field’s latest developments and advancements. Regularly read scholarly articles, attend conferences, and follow reputable sources of information to stay up to date with current research trends.

There is plenty of information available on the internet about every topic; hence, learning skills to know which information is relevant and credible is very important. Today most search engines have the feature of advanced search, and you can customize the search as per your preference. Once you learn this skill, it will help you find information. 

Experts possess a wealth of knowledge, experience, and insights that can significantly enhance your understanding and abilities in conducting research. Experts have often encountered numerous challenges and hurdles throughout their research journey and have developed effective problem-solving techniques. Engaging with experts is a highly effective approach to improving research skills.

Moreover, experts can provide valuable feedback and constructive criticism on your research work. They can offer fresh perspectives, identify areas for improvement, and help you refine your research questions, methodology, and analysis.

At QuestionPro, we can help you with the necessary tools to carry out your projects, and we have created the following free resources to help you in your professional growth:

• Survey Templates

Research skills are invaluable assets that empower individuals to navigate the ever-expanding realm of information, make informed decisions, and contribute to advancing knowledge. With advanced research tools and technologies like QuestionPro Survey Software, researchers have potent resources to conduct comprehensive surveys, gather data, and analyze results efficiently.

Where data-driven decision-making is crucial, research skills supported by advanced tools like QuestionPro are essential for researchers to stay ahead and make impactful contributions to their fields. By embracing these research skills and leveraging the capabilities of powerful survey software, researchers can unlock new possibilities, gain deeper insights, and pave the way for meaningful discoveries.

Authors : Gargi Ghamandi & Sandeep Kokane

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Top 12 Researcher Skills to Put on Your Resume

In the competitive world of academia and research, distinguishing yourself through a well-crafted resume is crucial. Highlighting the top researcher skills on your resume not only showcases your expertise and dedication to potential employers but also sets you apart as a highly capable and adaptable candidate in the field.

Researcher Skills

Python is a high-level, versatile programming language widely used in research for data analysis, machine learning, and automation due to its simplicity and extensive library support.

Why It's Important

Python is important for researchers due to its simplicity and readability, vast library ecosystem for data analysis and visualization (e.g., NumPy, Pandas, Matplotlib), and strong support for scientific computing, making it an accessible and powerful tool for conducting complex research efficiently.

How to Improve Python Skills

Improving your Python skills, especially as a researcher, involves a balance of learning foundational concepts, practicing coding, and understanding how to apply Python in your specific field. Here are concise strategies with direct links to enhance your Python proficiency:

Master the Basics : Ensure a strong grasp of Python syntax and basic programming concepts. The official Python documentation is a great starting point.

Learn Data Science Tools : Familiarize yourself with libraries like NumPy, Pandas, and Matplotlib for data analysis and visualization. DataCamp's tutorials are practical and research-focused.

Engage in Projects : Apply what you learn in real-world projects. Websites like GitHub offer a plethora of open-source projects where you can contribute and learn.

Take Online Courses : Platforms like Coursera and edX offer Python courses tailored to researchers.

Join Python Communities : Engage with communities on Stack Overflow or Reddit’s r/learnpython . They are excellent for seeking help and staying updated on best practices.

Read Books and Articles : Books like "Python for Data Analysis" by Wes McKinney can be invaluable. Keep up with the latest research and techniques by regularly reading relevant arXiv preprints .

Practice Coding Daily : Consistency is key. Use platforms like LeetCode to practice coding problems.

Attend Workshops and Conferences : Events specific to Python in research, like SciPy , provide workshops and presentations from leading experts.

Implement Peer Code Reviews : Sharing your code with peers for review on platforms like GitHub can offer new perspectives and improvement areas.

Experiment with Different IDEs : Explore IDEs like PyCharm or Jupyter Notebooks to find what enhances your productivity.

By incorporating these strategies, you can significantly enhance your Python skills, making your research more efficient and impactful.

How to Display Python Skills on Your Resume

R is a programming language and software environment used for statistical analysis, graphical representation, and reporting, widely adopted by statisticians, data analysts, and researchers.

R is important for researchers because it provides a comprehensive statistical analysis and graphical visualization toolkit, facilitating data manipulation, statistical modeling, and results communication, all within an open-source environment that encourages collaboration and reproducibility in research.

How to Improve R Skills

Improving your R skills, particularly as a researcher, involves a blend of learning new concepts, practicing coding, and engaging with the community. Here's a concise guide:

Take Online Courses : Platforms like Coursera and DataCamp offer courses tailored to different levels, from beginners to advanced users.

Read Books and Guides : Start with "R for Data Science" by Hadley Wickham, accessible for free at R for Data Science . It covers data visualization, transformation, and modeling.

Practice Coding : Apply what you learn on datasets. Websites like Kaggle provide datasets and challenges to test your skills.

Use R Packages : Familiarize yourself with popular R packages like ggplot2 for data visualization, dplyr for data manipulation, and tidyr for data tidying. The Tidyverse collection is a great starting point.

Join R Communities : Platforms like Stack Overflow and RStudio Community are great for getting help, sharing knowledge, and staying updated on R developments.

Attend Workshops and Conferences : Events like useR! provide opportunities to learn from experts and network with other R users.

Contribute to Open Source Projects : Engaging with projects on GitHub can enhance your coding skills and help you understand real-world applications of R.

Stay Updated : Follow R-related blogs like R-bloggers for tutorials, updates, and insights from the R community.

By integrating these resources and practices into your learning journey, you'll progressively enhance your proficiency in R, making your research more efficient and impactful.

How to Display R Skills on Your Resume

SPSS (Statistical Package for the Social Sciences) is a software tool used by researchers for statistical analysis, data management, and data documentation, facilitating a wide range of statistical tests and modeling techniques.

SPSS is important for researchers because it provides a comprehensive set of statistical tools to analyze data, enabling them to derive insights, test hypotheses, and make evidence-based decisions efficiently.

How to Improve SPSS Skills

Improving your proficiency with SPSS as a researcher involves enhancing both your statistical analysis skills and your familiarity with the software. Here's a concise guide:

• Familiarize with Basics : Start with IBM's official SPSS tutorials to understand the interface and basic functionalities.
• Enhance Statistical Knowledge : Improve your statistical knowledge to know which tests to apply. Consider resources like the Khan Academy for free courses.
• Practice Regularly : Apply your knowledge on sample datasets or your own data. Regular practice helps in understanding the nuances of the software.
• Use Online Forums : Engage in communities such as IBM SPSS Community or ResearchGate. Asking questions and reading discussions can provide insights not found in tutorials.
• Learn Advanced Features : Once comfortable with the basics, explore advanced features like syntax scripting for automation and reproducibility. The UCLA IDRE Resource Pages offer excellent guides on advanced topics.
• Stay Updated : SPSS is regularly updated with new features and improvements. Keep an eye on the official SPSS software updates page to stay informed about the latest changes.

By systematically working through these steps and integrating SPSS into your regular research workflow, you can significantly improve your proficiency and efficiency with the software.

How to Display SPSS Skills on Your Resume

MATLAB is a high-level programming and numerical computing environment used by researchers for data analysis, algorithm development, and visualization, especially in engineering and scientific applications.

MATLAB is important for researchers because it provides a versatile environment for numerical computation, data analysis, and visualization, enabling the efficient handling of large datasets and complex algorithms essential for advanced scientific research.

How to Improve MATLAB Skills

To improve your MATLAB skills as a researcher, focus on these concise strategies:

Online Courses : Enroll in online courses on platforms like Coursera or MATLAB Academy for structured learning.

Official Documentation : Regularly consult MATLAB’s official documentation for comprehensive insights and updates on functions and features.

Coding Practice : Implement your learning through practice on platforms like Project Euler or by contributing to open-source projects relevant to your research area.

Networking : Join MATLAB communities on MATLAB Central or Stack Overflow to exchange knowledge and solve queries.

Workshops and Webinars : Attend workshops and webinars organized by MathWorks to stay updated on the latest tools and methodologies.

Toolboxes : Explore and experiment with specialized MATLAB Toolboxes that are relevant to your field of research for advanced analyses.

Code Optimization : Learn about code vectorization and preallocation to optimize your MATLAB code for efficiency.

Debugging Skills : Improve your debugging skills by utilizing MATLAB’s integrated debugging tools to identify and fix issues more efficiently.

By incorporating these strategies, you'll enhance your MATLAB expertise, thereby significantly contributing to the efficiency and effectiveness of your research.

How to Display MATLAB Skills on Your Resume

SQL (Structured Query Language) is a standardized programming language used for managing and manipulating relational databases, enabling researchers to efficiently query, update, insert, and delete data.

SQL is crucial for researchers as it enables efficient management, manipulation, and retrieval of large datasets, facilitating thorough data analysis and insights generation.

How to Improve SQL Skills

Improving SQL skills, especially as a researcher, involves a mix of theoretical understanding, practice, and exposure to real-world scenarios. Here’s a very short and concise guide:

Learn the Basics : Understand SQL syntax, commands (SELECT, INSERT, UPDATE, DELETE), and concepts like joins, subqueries, and indexes. W3Schools offers a good starting point.

Practice Regularly : Apply what you've learned by solving problems. Websites like HackerRank and LeetCode provide numerous exercises.

Understand Database Design : Knowing how to design a database effectively is crucial. Learn about normalization, relationships, and constraints. Studytonight explains database normalization well.

Explore Advanced Topics : Dive into stored procedures, triggers, and views. Explore how to optimize SQL queries for performance. SQLShack is a valuable resource for advanced learning and performance tuning.

Learn from Real Scenarios : Analyze case studies or real-world scenarios where SQL was pivotal. This helps in understanding complex problems and their solutions. DB-Engines Blog discusses real-world database applications and trends.

Join SQL Communities : Engage with online communities on Stack Overflow or Reddit . These platforms are great for asking questions, sharing knowledge, and staying updated with the latest trends.

Utilize Online Courses and Tutorials : Platforms like Coursera and edX offer courses designed by universities and industry experts. They often cover both the basics and advanced topics.

Work on Projects : Apply your skills on real or simulated projects. This could be anything from creating a database for managing research data to analyzing large datasets with SQL queries.

Improving SQL skills is a continuous journey. The more you practice and engage with complex problems, the better you'll become at leveraging SQL for research and data analysis.

How to Display SQL Skills on Your Resume

Tableau is a powerful data visualization tool that enables researchers to interactively explore and present their data through intuitive graphs, charts, and dashboards, facilitating the discovery of insights and trends.

Tableau is important for researchers because it enables them to visually analyze and present complex data sets, facilitating the discovery of patterns, trends, and insights that might be missed in traditional analysis, thereby enhancing the understanding and communication of their findings.

How to Improve Tableau Skills

Improving your Tableau skills, especially as a researcher, involves a blend of enhancing your data visualization techniques, deepening your understanding of Tableau's features, and staying updated with the latest trends and updates. Here's a concise guide:

Master the Basics : Ensure you're comfortable with the fundamentals of Tableau. The Tableau Training page offers various resources from beginner to advanced levels.

Advanced Features : Dive into advanced features such as calculated fields, parameters, and Tableau's analytics pane to create more dynamic and interactive visualizations. The Tableau Help documentation is a great place to start.

Data Prep Skills : Learn to prepare and clean your data efficiently. Tableau Prep is a powerful tool for this purpose. Explore the Tableau Prep Training Videos for comprehensive learning.

Storytelling with Data : Enhance your ability to tell stories with your data. Cole Nussbaumer Knaflic’s blog, Storytelling with Data , offers valuable insights and tips on presenting data effectively.

Get Certified : Consider obtaining a Tableau certification. It not only validates your skills but also exposes you to a wider range of Tableau's capabilities. Check the Tableau Certification page for more details.

Join the Community : Engage with the Tableau Community through forums, social media channels, and attending Tableau Conference or local user groups. The Tableau Community Forums are a great place to start.

Analyze Public Workbooks : Explore and reverse-engineer workbooks available on Tableau Public . It's a fantastic way to learn new techniques and get inspired.

Stay Updated : Tableau frequently updates its software. Keep an eye on the Tableau Blog for the latest news, features, and insights.

By following these steps and consistently practicing your skills, you will significantly improve your proficiency in Tableau, enabling you to create more impactful and insightful data visualizations.

How to Display Tableau Skills on Your Resume

LaTeX is a high-quality typesetting system commonly used by researchers for the creation of scientific and mathematical documents, offering precise control over document layout and formula formatting.

LaTeX is essential for researchers because it offers precise control over document formatting, enabling the creation of high-quality, professional-looking academic papers, including complex mathematical expressions, references, and figures, ensuring consistency and adherence to publication standards.

How to Improve LaTeX Skills

Improving your LaTeX skills as a researcher involves practicing writing, learning advanced features, and utilizing resources effectively. Here’s a concise guide to help you enhance your LaTeX proficiency:

Practice Regularly : The best way to improve is through consistent practice. Start with simple documents and gradually increase complexity.

Learn Advanced Features : Familiarize yourself with advanced LaTeX features such as custom commands, environments, and packages that can simplify your writing and formatting.

Use Templates : Many journals and conferences provide LaTeX templates. Using these can help you adhere to submission guidelines effortlessly. Overleaf Templates

Incorporate Graphics : Learn to include and manipulate graphics within your LaTeX documents for more dynamic presentations of data. LaTeX Wikibook on Graphics

Bibliography Management : Master the use of BibTeX or BibLaTeX for bibliography management, crucial for research writing. BibLaTeX Documentation

Collaborate Online : Use platforms like Overleaf for collaborative writing and version control. Overleaf

Join LaTeX Communities : Engage with LaTeX communities on forums like Stack Exchange or Reddit for support and to stay updated on best practices. TeX - LaTeX Stack Exchange

Explore Packages : Continuously explore new packages to simplify tasks and enhance the presentation of your documents. CTAN (Comprehensive TeX Archive Network)

Follow Tutorials and Courses : Online tutorials and courses can provide structured learning paths. LaTeX Tutorials on Overleaf

Read Books and Documentation : Deepen your understanding by reading comprehensive LaTeX books and package documentation. LaTeX Wikibook

By following these steps and making use of the provided resources, you can significantly improve your LaTeX skills, making your research documentation more efficient and professional.

How to Display LaTeX Skills on Your Resume

SAS (Statistical Analysis System) is a software suite used by researchers for advanced analytics, multivariate analysis, business intelligence, data management, and predictive analytics.

SAS (Statistical Analysis System) is important for researchers because it provides a powerful and flexible tool for data management, statistical analysis, and reporting, enabling them to efficiently process large datasets, perform complex analyses, and derive insightful conclusions from their research data.

How to Improve SAS Skills

Improving your SAS (Statistical Analysis System) skills as a researcher involves a combination of enhancing your coding abilities, understanding statistical concepts, and practicing with real datasets. Here are concise steps with resources to help you improve:

Master the Basics : Ensure you have a solid understanding of SAS basics. The SAS Programming 1: Essentials course is a great starting point.

Understand Statistical Concepts : Deepen your statistical knowledge to apply the right analyses. Khan Academy offers a comprehensive Statistics and Probability course.

Practice with Real Data : Apply what you've learned by practicing with actual datasets. Kaggle is an excellent platform for finding datasets and participating in competitions.

Learn Advanced Techniques : Once comfortable with the basics, move on to advanced topics like macros and SQL. The SAS Programming 2: Data Manipulation Techniques course is an excellent resource.

Stay Updated and Network : Join the SAS Community to stay updated on the latest trends, ask questions, and network with other SAS professionals.

Utilize SAS Documentation : The SAS Documentation site is a treasure trove of information on all SAS procedures and functions.

Seek Feedback and Collaborate : Work on projects with peers or mentors who can provide feedback and offer new perspectives.

By following these steps and leveraging the provided resources, you can significantly improve your SAS skills and enhance your research capabilities.

How to Display SAS Skills on Your Resume

Stata is a powerful statistical software package used by researchers for data management, analysis, and graphics, supporting a wide range of statistical techniques.

Stata is important for researchers because it provides a comprehensive suite of statistical tools for data analysis, management, and visualization, facilitating robust and replicable research findings across various disciplines.

How to Improve Stata Skills

Improving your proficiency in Stata as a researcher involves a combination of enhancing your understanding of the software, learning to implement more efficient coding practices, and staying updated on the latest features and extensions. Here are concise tips with relevant resources:

Master the Basics : Start with a solid foundation by thoroughly understanding Stata's environment, commands, and data manipulation techniques. The Stata Getting Started guide is an excellent resource.

Utilize Online Courses and Tutorials : Engage with structured learning through online platforms. Udemy and Coursera offer courses tailored to different expertise levels.

Explore Stata's Documentation : Dive into Stata's official documentation for in-depth understanding and to learn about new features and commands.

Participate in Forums and Communities : Join platforms like Statalist , the official Stata forum, to share knowledge, ask questions, and learn from experienced users.

Automate Repetitive Tasks : Learn to write do-files for automating repetitive tasks, improving efficiency. The Stata Programming Reference Manual provides guidance on scripting.

Stay Updated : Follow the Stata Blog for updates, tips, and tricks from Stata professionals and enthusiasts.

Learn from Example Datasets : Practice with Stata's provided datasets to understand data management and analysis techniques. Access these through the sysuse command.

Enhance Your Statistical Knowledge : A deeper understanding of statistical methods will allow you to make the most of Stata's capabilities. Khan Academy offers free resources to brush up on statistics.

Optimize Performance : For large datasets or complex analyses, learn to optimize Stata's performance through efficient coding practices. The Stata Programming FAQ offers tips on improving execution speed.

By following these tips and utilizing the provided resources, you can significantly improve your Stata skills, contributing to more effective and efficient research.

How to Display Stata Skills on Your Resume

NVivo is a qualitative data analysis software that allows researchers to organize, analyze, and visualize unstructured data, such as interviews, open-ended survey responses, articles, social media, and web content, facilitating in-depth insights into their research topics.

NVivo is important for researchers because it facilitates the organization, analysis, and synthesis of qualitative data, enabling deeper insights and more robust findings.

How to Improve NVivo Skills

To improve your experience and efficiency with NVivo as a researcher, consider the following concise strategies:

Enhance Your Skills : Continuous learning about NVivo's features can significantly improve your proficiency. The QSR International's NVivo Resource Library offers tutorials, webinars, and guides tailored for both beginners and advanced users.

Leverage Import Options : Efficiently utilize NVivo's capability to import data from diverse sources (e.g., surveys, social media, interviews). Understanding the data importing guidelines can streamline your workflow.

Use Coding Queries : Master the use of coding queries to analyze your data deeply. NVivo's query functions help in identifying patterns, comparing themes, and extracting meaningful insights from your data.

Employ Collaboration Features : If working as part of a team, utilize NVivo's collaboration features. Understanding how to merge projects and share data can enhance team productivity and analysis consistency.

Optimize with Add-Ons : Explore NVivo add-ons for advanced functionalities like automated transcription and social media analysis. NVivo Transcription and NCapture are tools that expand your research capabilities .

Stay Updated : Regularly update your NVivo software. New updates often include bug fixes, new features, and performance improvements. Check the latest NVivo updates for optimal performance.

Seek Community Support : Join NVivo forums and user groups to share experiences, ask questions, and get advice from the community. The NVivo Community can be a valuable resource for troubleshooting and tips.

Implementing these strategies can significantly enhance your research process, making your work with NVivo more effective and enjoyable.

How to Display NVivo Skills on Your Resume

ArcGIS is a comprehensive geographic information system (GIS) software developed by Esri, designed for creating, analyzing, and managing spatial data and maps for research and application in various fields such as environmental science, urban planning, and public health.

ArcGIS is important for researchers because it provides powerful tools for spatial analysis, data management, and visualization, enabling them to uncover patterns, trends, and relationships in geographic data that can drive scientific discovery and inform decision-making.

How to Improve ArcGIS Skills

Improving your ArcGIS skills as a researcher involves a combination of enhancing your understanding of GIS concepts, practical application of tools, and integrating advanced technologies. Here are concise strategies:

Master the Basics and Beyond : Dive deeper into the essentials of ArcGIS by exploring Esri's training catalog . Focus on courses relevant to your research.

Learn Python for ArcGIS : Automate tasks and perform advanced data analysis by learning Python scripting. Start with ArcGIS API for Python .

Incorporate Spatial Data Science : Explore the ArcGIS Spatial Data Science course to integrate statistical models and machine learning in your GIS projects.

Utilize ArcGIS Online : Leverage ArcGIS Online for sharing and collaborating on GIS projects, accessing a wealth of datasets, and using web applications.

Engage with the Community : Join the GeoNet Community to share ideas, get help, and stay updated on the latest GIS trends and technologies.

Explore Advanced Tools : Delve into advanced tools like ArcGIS Pro for more powerful and efficient data analysis, visualization, and management.

Attend Workshops and Conferences : Participate in GIS-focused events like the Esri User Conference to learn from experts and network with peers.

By following these strategies and continuously practicing, you can significantly improve your ArcGIS capabilities and contribute more effectively to your research projects.

How to Display ArcGIS Skills on Your Resume

Hadoop is an open-source framework designed for distributed storage and processing of large data sets using simple programming models across clusters of computers. It is particularly useful for handling big data analysis for researchers.

Hadoop is important for researchers because it enables the processing and storage of large datasets across a distributed computing environment, facilitating complex analytical computations and the extraction of valuable insights from big data efficiently.

How to Improve Hadoop Skills

Improving Hadoop performance and functionality can be crucial for researchers dealing with big data analysis. Here are concise strategies with relevant resources:

Optimize Configuration : Fine-tune Hadoop's configuration parameters (e.g., heap size, block size) to match your specific workload requirements. Apache Hadoop Configuration

Use Compression : Implement data compression to reduce I/O and improve network bandwidth usage without significantly impacting CPU resources. Hadoop Compression

Enable Data Locality : Optimize task assignment to minimize data movement across the network, enhancing processing speed. Understanding Data Locality

Leverage High-Performance Computing (HPC) Techniques : Integrate HPC methodologies to improve computational efficiency and scalability. Integrating HPC with Hadoop

Incorporate Advanced Storage Solutions : Utilize SSDs for frequently accessed data and Hadoop Compatible File Systems (HCFS) for better scalability and performance. Hadoop and SSDs

Employ Parallel Processing Frameworks : Make use of frameworks like Apache Spark for faster in-memory processing capabilities. Apache Spark

Optimize Data Formats : Use efficient data formats (e.g., Parquet, ORC) that support schema evolution, compression, and improved read/write operations. Hadoop File Formats

Implement Automated Tuning Tools : Utilize tools like LinkedIn's Dr. Elephant or Apache Ambari for automatic detection and correction of performance bottlenecks. Dr. Elephant , Apache Ambari

Update Regularly : Keep your Hadoop cluster and related ecosystem components up-to-date with the latest releases to benefit from performance improvements and new features. Hadoop Releases

Invest in Training and Knowledge Sharing : Encourage continuous learning and sharing of best practices within your team or organization. Hadoop Training

By applying these strategies, researchers can significantly enhance Hadoop's performance and efficiency for processing large-scale datasets.

How to Display Hadoop Skills on Your Resume

Related Career Skills

• Market Researcher
• Survey Researcher
• Clinical Researcher
• User Experience Researcher

What are Research Skills? How to Improve Your Skills in Research

Learn strategies and techniques to improve your research skills. Avoid common mistakes and implement proven methods for efficient research. This article offers practical tips to enhance your ability to find and evaluate high-quality information.

Are you struggling to find relevant and reliable information for your research? Do you want to avoid getting lost in a sea of sources and needing help knowing where to start? Improving your research skills is essential for academic success and professional growth.

In today's information age, effectively conducting research has become more important than ever. Whether you are a student, a professional, or simply someone who wants to stay informed, knowing how to find and evaluate information is crucial.

Fortunately, some strategies and techniques can help you improve your research skills and become a more efficient and effective researcher. By avoiding common mistakes and implementing proven methods, you can enhance your ability to find high-quality information and make the most of your research endeavors. This article will explore some practical tips and tricks to help you improve your research skills and achieve better results.

What is Research?

Research is a critical part of learning, problem-solving, and decision-making. It is an essential process used in every field for both the individual and collective’s mutual benefit and success. Research involves systematically gathering data from primary or secondary sources, analyzing it, interpreting it, and communicating its findings to researchers and other interested parties.

Research can be divided into two main categories: quantitative research, which uses numerical data to describe phenomena, and qualitative research, which seeks to understand people's beliefs, opinions, values, or behaviors. Quantitative research often involves applying model-based approaches that can predict outcomes based on observations. It is one of the most powerful methods of discovering information about the world, as it allows for testing hypotheses in a systematic manner. Qualitative research is more exploratory in nature by focusing on understanding the motivations behind what people do or think rather than developing models or producing statistics in order to conclude behavior and relationships between variables. This type of research usually relies more on observation and engagement with people instead of using statistical models.

What are Research Skills?

Research skills are the abilities and talents required to focus on an objective, gather the relevant data linked to it, analyze it using appropriate methods, and accurately communicate the results. Taking part in research indicates that you have acquired knowledge of your subject matter, have digested that knowledge, and processed, evaluated, and analyzed it until you can resolve a problem or answer a query. It is highly beneficial for employers to hire people with strong research skills since they can provide valuable insights and add value to the company’s performance. Therefore, researching effectively has become crucial to securing a job in most industries.

Why Do Research Skills Matter?

Research skills are essential if one intends to succeed in today's competitive world. With technology ever-evolving and a need to stay ahead of the competition, employees who possess research skills can prove invaluable to their employers. These skills include researching, analyzing, and interpreting data and making informed decisions based on that information.

Employers value workers who can quickly develop a thorough understanding of any changes or trends in their field of work through accurate research. Knowing how to assess customer needs, recognize competition, write reports, improve productivity, and advise on investments can also benefit any business. With the help of research skills, companies can uncover ways to adapt their services or products that better serve their customers’ needs while helping them save money at the same time. This makes overall operations more efficient as well as helps a company remain ahead of its competitors.

Essential Research Skills :

Here is a list of essential research skills:

Data Collection

Data collection is an important part of comprehending a certain topic and ensuring reliable information is collected while striving to answer complex questions. Every situation differs, but data collection typically includes surveys, interviews, observations, and existing document reviews. The data collected can be quantitative or qualitative, depending on the nature of the problem at hand. As students advance through university and other educational institutions, they will need to read extensively into a particular field and may even need to undertake comprehensive literature reviews to answer fundamental questions.

The skills acquired through data collection during university are invaluable for future roles and jobs. Gaining experience in understanding complex topics, reading widely on a given subject matter, collecting relevant data, and analyzing findings - all these activities are integral when dealing with any type of project within the corporate sector. Therefore, embarking on various research projects enhances a person's education level and brings about significant professional experience.

Goal-Setting

Setting goals is an important skill for any successful research project. It allows you to stay focused and motivated throughout the process. Goals are also essential in helping with direction: they provide a path to organize our thoughts, narrow our focus, and prioritize the tasks we need to undertake to achieve our desired result. The concept of goal-setting is inherent in most research processes, as everything needs to have something to strive for — whether that’s gaining knowledge about a particular topic or testing a theory.

When it comes to creating and setting goals during the research process, you must have clear and specific objectives in mind from the outset. Writing down your thoughts helps define these objectives, which can inform the data collection process; moreover, thinking about short-term and long-term goals can help you create manageable steps toward achieving them. Learning how to break up larger projects into smaller “mini-goals effectively” can make all the difference when tackling complex investigations — allowing researchers to monitor their progress more easily and culminate results further down the line.

Critical Thinking

Critical thinking is an integral part of the modern workplace. To succeed, one must be able to look at a situation objectively and make decisions based on evidence. The information examined needs to come from various sources, such as data collection, personal observation, or analysis. The goal should then be to take all this information and form a logical judgment that informs an action plan or idea.

Someone who displays strong critical thinking skills will not just accept proposed ideas at face value but instead can understand how these ideas can be applied and challenged. Accepting something without consideration means making the wrong decision due to a lack of thought. Critical thinkers understand how brainstorming works, assessing all elements before forming any decision. From negotiating with colleagues or customers in adversarial scenarios to analyzing complex documents such as legal contracts in order to review business agreements - critical dedicated apply their knowledge effectively and are able to back up their evaluation with evidence collected from multiple sources.

Observation Skills

Observation skills are necessary for conducting any form of research, whether it be in the workplace or as part of an investigative process. It is important to be able to pick up on the details that might otherwise pass unnoticed, such as inconsistencies in data or irregularities in how something is presented, and to pay careful attention to regulations and procedures that govern the company or environment. This can help researchers to ensure their processes are accurate and reliable.

As well as analyzing what we see around us directly, many research methodologies often involve calculated statistical analyses and calculations. For this reason, it’s important to develop strong observation skills so that the legitimacy of information can be confirmed and checked before conclusions are formed. Improving this skill requires dedication and practice, which could include keeping a journal reflecting on experiences, posing yourself questions about what you have observed, and seeking out opportunities in unfamiliar settings to test your observations.

Detail Orientation

Detail orientation is an important research skill for any scientific endeavor. It allows one to assess a situation or problem in minute detail and make appropriate judgments based on the information gathered. A detail-oriented thinker can easily spot errors, inconsistencies, and vital pieces of evidence, which can help lead to accurate conclusions from the research. Additionally, this skill allows someone to evaluate the quality and accuracy of data recorded during an experiment or project more efficiently to ensure validity.

Spotting small mistakes that may otherwise have been overlooked is a crucial part of conducting detailed research that must be perfected. Individuals aiming for superior outcomes should strive to develop their skill at detecting details by practicing critical analysis techniques, such as breaking down large bodies of information into smaller tasks to identify finer points quickly. Moreover, encouragement should also be made for elaborate comparison and analysis between different pieces of information when solving a complex problem, as it can help provide better insights into problems accurately.

Investigative Skills

Investigative skills are an essential component when it comes to gathering and analyzing data. In a professional setting, it is important to determine the accuracy and validity of different sources of information before making any decisions or articulating ideas. Generally, effective investigation requires collecting different sets of reliable data, such as surveys and interviews with stakeholders, employees, customers, etc. For example, if a company internally assesses possible challenges within its business operations environment, it would need to conduct more profound research involving talking to relevant stakeholders who could provide critical perspectives about the situation.

Data-gathering techniques such as comparison shopping and regulatory reviews have become more commonplace in the industry as people strive for greater transparency and more accurate results. Knowing how to identify reliable sources of information can give individuals a competitive advantage and allow them to make sound decisions based on accurate data. Investing time in learning different investigative skills can help recruiters spot applicants dedicated to acquiring knowledge in this field. Developing these investigative skills is also valuable for those looking for executive positions or starting their own business. By familiarizing themselves with their application process, people can become adept at collecting high-quality data they may use in their research endeavors.

Time Management

Time management is a key skill for any researcher. It's essential to be able to allocate time between different activities so you can effectively plan and structure your research projects. Without good time management, you may find yourself hastily completing tasks or feeling stressed out as you rush to complete an analysis. Ultimately, managing your time allows you to stay productive and ensure that each project is completed with the highest results.

Good time management requires various skills such as planning ahead, prioritizing tasks, breaking down large projects into smaller steps, and even delegating some activities when possible. It also means setting realistic goals for yourself in terms of the amount of research that can be achieved in certain timestamps and learning how to adjust these goals when needed. Becoming mindful of how you spend the same hours each day will propel your productivity and see positive results from your efforts. Time management becomes especially relevant regarding data collection and analysis – it is crucial to understand precisely what kind of resources are needed for each task before diving into the research itself. Knowing how much time should be dedicated to each step is essential for meeting deadlines while still retaining accuracy in the final outcomes of one’s study.

Tips on How to Improve Your Research Skills

Below are some tips that can help in improving your skills in research:

Initiate your project with a structured outline

When embarking on any research project, creating an outline and scope document must first ensure that you remain on the right track. An outline sets expectations for your project by forming a detailed strategy for researching the topic and gathering the necessary data to conclude. It will help you stay organized and break down large projects into more manageable parts. This can help prevent procrastination as each part of the project has its own timeline, making it easier to prioritize tasks accordingly.

Using an outline and scope document also allows for better structure when conducting research or interviews, as it guides which sources are most relevant, what questions need to be answered, and how information should be collected or presented. This ensures that all information received through research or interviews stays within the confines of the chosen topic of investigation. Additionally, it ensures that no important details are overlooked while minimizing the chance that extraneous information gets included in your results. Taking this time upfront prevents potential problems during analysis or reporting of findings later.

Acquire expertise in advanced data collection methods

When it comes to collecting data for research purposes, a range of advanced data collection techniques can be used to maximize your efficiency and accuracy. One such technique is customizing your online search results with advanced search settings. By adding quotation marks and wildcard characters to the terms you are searching for, you are more likely to find the information you need from reliable sources. This can be especially useful if, for instance, you are looking for exact quotes or phrases. Different search engines require different advanced techniques and tactics, so learning these can help you get more specific results from your research endeavors.

Aside from using online searches, another standard methodology when conducting research is accessing primary information through libraries or other public sources. A specific classification system will likely be in place that can help researchers locate the materials needed quickly and easily. Knowing and understanding this system allows one to access information much more efficiently while also giving them ample opportunity to increase their knowledge of various topics by browsing related content in the same category groups. Thus, by learning about advanced data collection techniques for both online and offline sources, researchers can make substantial progress in their studies more efficiently.

Validate and examine the reliability of your data sources

Collecting reliable information for research can be a challenge, especially when relying on online sources. It is essential to remember that not all sources are created equal, and some sites may contain false or inaccurate data. It is, therefore important to verify and analyze the data before using it as part of your research.

One way to start verifying and analyzing your sources is to cross-reference material from one source with another. This may help you determine if particular facts or claims are accurate and, therefore, more valid than others. Additionally, trace where the data is coming from by looking at the author or organization behind it so that you can assess their expertise in a particular field and authority on the topic at hand. Once these steps have been completed, you can confidently use this trusted information for your project.

Structure your research materials

Organizing your research materials is an integral part of any research process. When you’re conducting a project or study and trying to find the most relevant information, you can become overwhelmed with all the data available. It’s important to separate valid from invalid materials and to categorize research materials by subject for easy access later on. Bookmarking websites on a computer or using a digital asset management tool are two effective methods for organizing research information.

When researching, it’s critical to remember that some sources have limited value and may be outside the scope of your topic. Recognizing reliable material versus trustworthy resources can be complex in this sea of information. However, sorting data into appropriate categories can help narrow down what is necessary for producing valid conclusions. This method of classifying information helps ensure that vital documents aren't overlooked during the organization process as they are placed in folders shortcutted for quick access within one centralized source whenever needed. Separating valuable sources also makes it easier to reference later on when writing reports or giving presentations - material won't get lost among irrelevant data, and conclusions will be backed by sound evidence.

Enhance your research and communication capabilities

Developing research and communication skills is essential for succeeding academically and professionally in the modern world. The key to improving these skills lies in rigorous practice, which can begin with small projects such as resolving common issues or completing a research task that can be made into a personal project. One way to do this is to volunteer for research projects at work and gain experience under the guidance of experienced researchers. This will improve your research skills and help you develop communication skills when working with others on the project. Another option is to turn a personal project into a research task. For example, if you plan on taking a holiday soon, you could create an objective method to select the best destination by conducting online research on destinations and making informed decisions based on thorough analysis. Practicing in this way enables you to complete any research task confidently and communicate efficiently with ease.

How to Articulate Research Skills on Your Resume

Research projects require commitment and perseverance, making it an important skill to include on a resume. Even if you have had limited research experience throughout your education or previous job, including this in your resume assesses these qualities to potential employers. It's important to consider the extent of your research experience when deciding how to add this part of your background to your resume. If you have been involved with multiple in-depth research projects, it might be best to highlight this by including it as its own section. On the other hand, if the amount of research you have completed is more limited, then try including it in the skills section instead.

When adding research experience and accomplishments into either section of your resume, be sure to emphasize any specific roles or contributions you made during the process instead of just describing the project itself. Furthermore, remember to quantify any successes where possible - this showcases both communication and technical proficiency strengths, which can help make your resume stand out even more. By properly articulating research skills within a resume, employers will likely be more interested in what job seekers have accomplished in their careers.

How to Apply Research Skills Effectively in Your Workplace

Research skills are an invaluable set of abilities to bring to your workplace. To make sure you use them properly, a good place to start is by taking time to plan the project you have been assigned. Whether it’s writing a report or analyzing data, mapping out what tasks you need to do and how long they should take helps to understand the project timeline better. This also makes setting aside dedicated time for research easier too.

To ensure that the decisions made are sound and informed, reading up on the subject area related to the project remains one of the premier ways of doing this. This will help to ensure that any problems arising can be solved quickly and effectively, as well as provide answers before any decisions are actually put into practice. By arming yourself with knowledge gathered through reading about a particular topic, it can give you more confidence when formulating plans or strategies in which direction to take your work in.

Final Thoughts

Research skills are increasingly important in the modern world, and gaining proficiency in this area can significantly benefit a person's career. Research skills are essential for success in many different roles and fields, including those within business and industry, education, science, and medicine. Developing a deep understanding of research allows us to identify problems better and critically evaluate potential solutions. It also bolsters our problem-solving abilities as we work to find creative solutions that meet our efforts' objectives.

By improving your research capabilities, you can impress employers during an application process or when joining a team at work. Research skills are considered soft skills by potential employers since they signal that you have attention to detail while simultaneously demonstrating your ability to learn new things quickly. Employers regard these skills highly, making them one of the key graduate career skills recruiters seek. Furthermore, being able to add ‘research skills’ to your CV will be looked upon favorably by employers and help drive up your employability significantly. Demonstrating that you possess these sought-after traits makes it easier for recruiters to give you the opportunity you've been looking for, so it's worth investing the time into developing these life-long learning tools today.

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Empowering students to develop research skills

February 8, 2021

This post is republished from   Into Practice ,  a biweekly communication of Harvard’s  Office of the Vice Provost for Advances in Learning

Terence D. Capellini, Richard B Wolf Associate Professor of Human Evolutionary Biology, empowers students to grow as researchers in his Building the Human Body course through a comprehensive, course-long collaborative project that works to understand the changes in the genome that make the human skeleton unique. For instance, of the many types of projects, some focus on the genetic basis of why human beings walk on two legs. This integrative “Evo-Devo” project demands high levels of understanding of biology and genetics that students gain in the first half of class, which is then applied hands-on in the second half of class. Students work in teams of 2-3 to collect their own morphology data by measuring skeletons at the Harvard Museum of Natural History and leverage statistics to understand patterns in their data. They then collect and analyze DNA sequences from humans and other animals to identify the DNA changes that may encode morphology. Throughout this course, students go from sometimes having “limited experience in genetics and/or morphology” to conducting their own independent research. This project culminates in a team presentation and a final research paper.

The benefits: Students develop the methodological skills required to collect and analyze morphological data. Using the UCSC Genome browser  and other tools, students sharpen their analytical skills to visualize genomics data and pinpoint meaningful genetic changes. Conducting this work in teams means students develop collaborative skills that model academic biology labs outside class, and some student projects have contributed to published papers in the field. “Every year, I have one student, if not two, join my lab to work on projects developed from class to try to get them published.”

“The beauty of this class is that the students are asking a question that’s never been asked before and they’re actually collecting data to get at an answer.”

The challenges:  Capellini observes that the most common challenge faced by students in the course is when “they have a really terrific question they want to explore, but the necessary background information is simply lacking. It is simply amazing how little we do know about human development, despite its hundreds of years of study.” Sometimes, for instance, students want to learn about the evolution, development, and genetics of a certain body part, but it is still somewhat a mystery to the field. In these cases, the teaching team (including co-instructor Dr. Neil Roach) tries to find datasets that are maximally relevant to the questions the students want to explore. Capellini also notes that the work in his class is demanding and hard, just by the nature of the work, but students “always step up and perform” and the teaching team does their best to “make it fun” and ensure they nurture students’ curiosities and questions.

Takeaways and best practices

• Incorporate previous students’ work into the course. Capellini intentionally discusses findings from previous student groups in lectures. “They’re developing real findings and we share that when we explain the project for the next groups.” Capellini also invites students to share their own progress and findings as part of class discussion, which helps them participate as independent researchers and receive feedback from their peers.
• Assign groups intentionally.  Maintaining flexibility allows the teaching team to be more responsive to students’ various needs and interests. Capellini will often place graduate students by themselves to enhance their workload and give them training directly relevant to their future thesis work. Undergraduates are able to self-select into groups or can be assigned based on shared interests. “If two people are enthusiastic about examining the knee, for instance, we’ll match them together.”
• Consider using multiple types of assessments.  Capellini notes that exams and quizzes are administered in the first half of the course and scaffolded so that students can practice the skills they need to successfully apply course material in the final project. “Lots of the initial examples are hypothetical,” he explains, even grounded in fiction and pop culture references, “but [students] have to eventually apply the skills they learned in addressing the hypothetical example to their own real example and the data they generate” for the Evo-Devo project. This is coupled with a paper and a presentation treated like a conference talk.

Bottom line:  Capellini’s top advice for professors looking to help their own students grow as researchers is to ensure research projects are designed with intentionality and fully integrated into the syllabus. “You can’t simply tack it on at the end,” he underscores. “If you want this research project to be a substantive learning opportunity, it has to happen from Day 1.” That includes carving out time in class for students to work on it and make the connections they need to conduct research. “Listen to your students and learn about them personally” so you can tap into what they’re excited about. Have some fun in the course, and they’ll be motivated to do the work.

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7 Skills of a Good Researcher Must Have

What skills of a good researcher have a must? How to become a successful researcher?

Do you feel either such kind of query in your mind? If yes, then, GREAT!  Here, I am going to explain in detail what skills a good researcher should have as well as the right process of how do you become a successful researcher in life. If a researcher does not have these necessary skills, then they should be acquired. Because success is more dependent on these qualities to be performed research work effectively on the ground.

Skills of a Good Researcher

Now the concern is that what are the key skills and qualities that good researchers essentially need to possess to be successful in doing research works as well as make you be stand out from others? Let’s know them.

1. Communication Skills

Most important skills. Researchers have to build a friendly relationship with the target people in order to collect research data. So, the researcher must be efficient in communication to operate research works effectively.

Moreover, your work should be presented in front of other researchers, with your audience. If you can not present your ideas and research in front of them, then the whole work of being a researcher is worthless.

So, as much as you will grow your communication skills, so much as you will be able to present yourself.

2. Project Management Skills

A good researcher must be able to manage the entire research project. Because researches are projects. Moreover, a researcher has to collect necessary information from the research plan, have to collect resources, collect funding to continue research, and much more in the research project management. And that’s why project management skills are so important in operating a research project.

3. Team Management Skills

It is a matter of hard work. A researcher must have a good idea about how to get the best results from other co-workers. Otherwise, the research team will be in vain. In most cases, the research study is operated by a team of researchers. You might have to work as a leader on the team. If you are a leader, you need to get the best out of your members. Therefore, team management skills are crucial for a researcher.

4. IT Skills of a Good Researcher

Information technology, which is the most important thing for researchers, needs to operate research projects, maintenance, analysis, and almost all types of work. So a researcher has to update himself regularly with the latest technology. Because information technology changes every day. Moreover, IT skills will be useful in analyzing research data, and research result presentation.

5. Analytical Skills

This is the power to enhance your ability as a researcher. You should analyze your research works. You need to analyze how good is your research, how relevant, how practical, etc. How your research findings will function in terms of reality? Your analysis ability will make you enough good researcher. The thing to remember is that the higher your analytical skills would be, the better you can produce research results.

6. Self Assessment

Self-assessment is another essential key to be a successful researcher. If you are able to assess yourself, then you will be able to find out your lacks and weaknesses. You can explore your strengths also. It will definitely lead you in the right way. Therefore, researchers should learn self-assessment skills. Not only self-assessment will help you to do good research, but it will also help you succeed in other areas of life potentially.

7. Get Used to Criticism

It’s not just a researcher but you have to learn how to be humble step by step. You might make mistakes in each step, and for those mistakes, people will criticize you severely. But, keep in mind that this is the best way to correct yourself.

Because you will learn from your mistakes. You can take feedback from those who have set up the mind to be a researcher like you. Again you can give feedback to their work, you can do criticism.

The Process to Become a Successful Researcher

A researcher needs to follow some essential steps to become a successful researcher. But, before everything you should ask yourself  again “Are I really would like to be a researcher?” What does your heart say?

The first step to becoming a researcher is to test it repeatedly whether it is the desire to become a researcher. The process of becoming a researcher is closely related to developing a career in the academic area.

If you like to study or are interested in learning something new, we would say that you should start the plan to be a researcher.

But there are some things to keep in mind. There is much more freedom in the process of developing a career as a researcher in your academic field. But, at the same time, there is a huge responsibility too.

If you spend a long time on the holidays or stay break from work you should just give up the plan to  become a researcher . To be a successful researcher, you have to do research work almost daily like clockwork.

Secondly, you highly need to break down your comfort zone. This matter is much more important. To be a researcher, you need to learn about new things, mix up them with your mindset, find new ideas. So, you have to practice coming out of your own comfort zone right now.

Ultimately, only self-study is not enough to be a researcher. It is crucial to have an idea about people like you doing the same job. So you can communicate with people who want to be researchers. You should develop your network with the researcher with a view to sharing your knowledge. The research study will develop networks.

7 Best Research Methodology Books

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• 10 April 2024

How to supercharge cancer-fighting cells: give them stem-cell skills

• Sara Reardon 0

Sara Reardon is a freelance journalist based in Bozeman, Montana.

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A CAR T cell (orange; artificially coloured) attacks a cancer cell (green). Credit: Eye Of Science/SPL

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Bioengineered immune cells have been shown to attack and even cure cancer , but they tend to get exhausted if the fight goes on for a long time. Now, two separate research teams have found a way to rejuvenate these cells: make them more like stem cells .

Both teams found that the bespoke immune cells called CAR T cells gain new vigour if engineered to have high levels of a particular protein. These boosted CAR T cells have gene activity similar to that of stem cells and a renewed ability to fend off cancer . Both papers were published today in Nature 1 , 2 .

The papers “open a new avenue for engineering therapeutic T cells for cancer patients”, says Tuoqi Wu, an immunologist at the University of Texas Southwestern in Dallas who was not involved in the research.

Reviving exhausted cells

CAR T cells are made from the immune cells called T cells, which are isolated from the blood of person who is going to receive treatment for cancer or another disease. The cells are genetically modified to recognize and attack specific proteins — called chimeric antigen receptors (CARs) — on the surface of disease-causing cells and reinfused into the person being treated.

But keeping the cells active for long enough to eliminate cancer has proved challenging, especially in solid tumours such as those of the breast and lung. (CAR T cells have been more effective in treating leukaemia and other blood cancers.) So scientists are searching for better ways to help CAR T cells to multiply more quickly and last longer in the body.

Cutting-edge CAR-T cancer therapy is now made in India — at one-tenth the cost

With this goal in mind, a team led by immunologist Crystal Mackall at Stanford University in California and cell and gene therapy researcher Evan Weber at the University of Pennsylvania in Philadelphia compared samples of CAR T cells used to treat people with leukaemia 1 . In some of the recipients, the cancer had responded well to treatment; in others, it had not.

The researchers analysed the role of cellular proteins that regulate gene activity and serve as master switches in the T cells. They found a set of 41 genes that were more active in the CAR T cells associated with a good response to treatment than in cells associated with a poor response. All 41 genes seemed to be regulated by a master-switch protein called FOXO1.

The researchers then altered CAR T cells to make them produce more FOXO1 than usual. Gene activity in these cells began to look like that of T memory stem cells, which recognize cancer and respond to it quickly.

The researchers then injected the engineered cells into mice with various types of cancer. Extra FOXO1 made the CAR T cells better at reducing both solid tumours and blood cancers. The stem-cell-like cells shrank a mouse’s tumour more completely and lasted longer in the body than did standard CAR T cells.

Master-switch molecule

A separate team led by immunologists Phillip Darcy, Junyun Lai and Paul Beavis at Peter MacCallum Cancer Centre in Melbourne, Australia, reached the same conclusion with different methods 2 . Their team was examining the effect of IL-15, an immune-signalling molecule that is administered alongside CAR T cells in some clinical trials. IL-15 helps to switch T cells to a stem-like state, but the cells can get stuck there instead of maturing to fight cancer.

The team analysed gene activity in CAR T cells and found that IL-15 turned on genes associated with FOXO1. The researchers engineered CAR T cells to produce extra-high levels of FOXO1 and showed that they became more stem-like, but also reached maturity and fought cancer without becoming exhausted. “It’s the ideal situation,” Darcy says.

Stem-cell and genetic therapies make a healthy marriage

The team also found that extra-high levels of FOXO1 improved the CAR T cells’ metabolism, allowing them to last much longer when infused into mice. “We were surprised by the magnitude of the effect,” says Beavis.

Mackall says she was excited to see that FOXO1 worked the same way in mice and humans. “It means this is pretty fundamental,” she says.

Engineering CAR T cells that overexpress FOXO1 might be fairly simple to test in people with cancer, although Mackall says researchers will need to determine which people and types of cancer are most likely to respond well to rejuvenated cells. Darcy says that his team is already speaking to clinical researchers about testing FOXO1 in CAR T cells — trials that could start within two years.

And Weber points to an ongoing clinical trial in which people with leukaemia are receiving CAR T cells genetically engineered to produce unusually high levels of another master-switch protein called c-Jun, which also helps T cells avoid exhaustion. The trial’s results have not been released yet, but Mackall says she suspects the same system could be applied to FOXO1 and that overexpressing both proteins might make the cells even more powerful.

Nature 628 , 486 (2024)

doi: https://doi.org/10.1038/d41586-024-01043-2

Doan, A. et al. Nature https://doi.org/10.1038/s41586-024-07300-8 (2024).

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Chan, J. D. et al. Nature https://doi.org/10.1038/s41586-024-07242-1 (2024).

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Is robotics about to have its own ChatGPT moment?

Researchers are using generative AI and other techniques to teach robots new skills—including tasks they could perform in homes.

• Melissa Heikkilä archive page

Silent. Rigid. Clumsy.

Henry and Jane Evans are used to awkward houseguests. For more than a decade, the couple, who live in Los Altos Hills, California, have hosted a slew of robots in their home. 

In 2002, at age 40, Henry had a massive stroke, which left him with quadriplegia and an inability to speak. Since then, he’s learned how to communicate by moving his eyes over a letter board, but he is highly reliant on caregivers and his wife, Jane. 

Henry got a glimmer of a different kind of life when he saw Charlie Kemp on CNN in 2010. Kemp, a robotics professor at Georgia Tech, was on TV talking about PR2, a robot developed by the company Willow Garage. PR2 was a massive two-armed machine on wheels that looked like a crude metal butler. Kemp was demonstrating how the robot worked , and talking about his research on how health-care robots could help people. He showed how the PR2 robot could hand some medicine to the television host.    

“All of a sudden, Henry turns to me and says, ‘Why can’t that robot be an extension of my body?’ And I said, ‘Why not?’” Jane says. 

There was a solid reason why not. While engineers have made great progress in getting robots to work in tightly controlled environments like labs and factories, the home has proved difficult to design for. Out in the real, messy world, furniture and floor plans differ wildly; children and pets can jump in a robot’s way; and clothes that need folding come in different shapes, colors, and sizes. Managing such unpredictable settings and varied conditions has been beyond the capabilities of even the most advanced robot prototypes. 

That seems to finally be changing, in large part thanks to artificial intelligence. For decades, roboticists have more or less focused on controlling robots’ “bodies”—their arms, legs, levers, wheels, and the like—via purpose-­driven software. But a new generation of scientists and inventors believes that the previously missing ingredient of AI can give robots the ability to learn new skills and adapt to new environments faster than ever before. This new approach, just maybe, can finally bring robots out of the factory and into our homes. 

Progress won’t happen overnight, though, as the Evanses know far too well from their many years of using various robot prototypes. 

PR2 was the first robot they brought in, and it opened entirely new skills for Henry. It would hold a beard shaver and Henry would move his face against it, allowing him to shave and scratch an itch by himself for the first time in a decade . But at 450 pounds (200 kilograms) or so and $400,000, the robot was difficult to have around. “It could easily take out a wall in your house,” Jane says. “I wasn’t a big fan.”

More recently, the Evanses have been testing out a smaller robot called Stretch, which Kemp developed through his startup Hello Robot. The first iteration launched during the pandemic with a much more reasonable price tag of around $18,000. 

Stretch weighs about 50 pounds. It has a small mobile base, a stick with a camera dangling off it, and an adjustable arm featuring a gripper with suction cups at the ends. It can be controlled with a console controller. Henry controls Stretch using a laptop, with a tool that that tracks his head movements to move a cursor around. He is able to move his thumb and index finger enough to click a computer mouse. Last summer, Stretch was with the couple for more than a month, and Henry says it gave him a whole new level of autonomy. “It was practical, and I could see using it every day,” he says. 

Using his laptop, he could get the robot to brush his hair and have it hold fruit kebabs for him to snack on. It also opened up Henry’s relationship with his granddaughter Teddie. Before, they barely interacted. “She didn’t hug him at all goodbye. Nothing like that,” Jane says. But “Papa Wheelie” and Teddie used Stretch to play, engaging in relay races, bowling, and magnetic fishing. 

Stretch doesn’t have much in the way of smarts: it comes with some pre­installed software, such as the web interface that Henry uses to control it, and other capabilities such as AI-enabled navigation. The main benefit of Stretch is that people can plug in their own AI models and use them to do experiments. But it offers a glimpse of what a world with useful home robots could look like. Robots that can do many of the things humans do in the home—tasks such as folding laundry, cooking meals, and cleaning—have been a dream of robotics research since the inception of the field in the 1950s. For a long time, it’s been just that: “Robotics is full of dreamers,” says Kemp.

But the field is at an inflection point, says Ken Goldberg, a robotics professor at the University of California, Berkeley. Previous efforts to build a useful home robot, he says, have emphatically failed to meet the expectations set by popular culture—think the robotic maid from The Jetsons . Now things are very different. Thanks to cheap hardware like Stretch, along with efforts to collect and share data and advances in generative AI, robots are getting more competent and helpful faster than ever before. “We’re at a point where we’re very close to getting capability that is really going to be useful,” Goldberg says. 

Folding laundry, cooking shrimp, wiping surfaces, unloading shopping baskets—today’s AI-powered robots are learning to do tasks that for their predecessors would have been extremely difficult. 

Missing pieces

There’s a well-known observation among roboticists: What is hard for humans is easy for machines, and what is easy for humans is hard for machines. Called Moravec’s paradox, it was first articulated in the 1980s by Hans Moravec, thena roboticist at the Robotics Institute of  Carnegie Mellon University . A robot can play chess or hold an object still for hours on end with no problem. Tying a shoelace, catching a ball, or having a conversation is another matter. 

There are three reasons for this, says Goldberg. First, robots lack precise control and coordination. Second, their understanding of the surrounding world is limited because they are reliant on cameras and sensors to perceive it. Third, they lack an innate sense of practical physics. 

“Pick up a hammer, and it will probably fall out of your gripper, unless you grab it near the heavy part. But you don’t know that if you just look at it, unless you know how hammers work,” Goldberg says. 

On top of these basic considerations, there are many other technical things that need to be just right, from motors to cameras to Wi-Fi connections, and hardware can be prohibitively expensive. 

Mechanically, we’ve been able to do fairly complex things for a while. In a video from 1957 , two large robotic arms are dexterous enough to pinch a cigarette, place it in the mouth of a woman at a typewriter, and reapply her lipstick. But the intelligence and the spatial awareness of that robot came from the person who was operating it. 

“The missing piece is: How do we get software to do [these things] automatically?” says Deepak Pathak, an assistant professor of computer science at Carnegie Mellon.  

Researchers training robots have traditionally approached this problem by planning everything the robot does in excruciating detail. Robotics giant Boston Dynamics used this approach when it developed its boogying and parkouring humanoid robot Atlas. Cameras and computer vision are used to identify objects and scenes. Researchers then use that data to make models that can be used to predict with extreme precision what will happen if a robot moves a certain way. Using these models, roboticists plan the motions of their machines by writing a very specific list of actions for them to take. The engineers then test these motions in the laboratory many times and tweak them to perfection. 

This approach has its limits. Robots trained like this are strictly choreographed to work in one specific setting. Take them out of the laboratory and into an unfamiliar location, and they are likely to topple over. 

Compared with other fields, such as computer vision, robotics has been in the dark ages, Pathak says. But that might not be the case for much longer, because the field is seeing a big shake-up. Thanks to the AI boom, he says, the focus is now shifting from feats of physical dexterity to building “general-purpose robot brains” in the form of neural networks. Much as the human brain is adaptable and can control different aspects of the human body, these networks can be adapted to work in different robots and different scenarios. Early signs of this work show promising results. 

Robots, meet AI 

For a long time, robotics research was an unforgiving field, plagued by slow progress. At the Robotics Institute at Carnegie Mellon, where Pathak works, he says, “there used to be a saying that if you touch a robot, you add one year to your PhD.” Now, he says, students get exposure to many robots and see results in a matter of weeks.

What separates this new crop of robots is their software. Instead of the traditional painstaking planning and training, roboticists have started using deep learning and neural networks to create systems that learn from their environment on the go and adjust their behavior accordingly. At the same time, new, cheaper hardware, such as off-the-shelf components and robots like Stretch, is making this sort of experimentation more accessible. 

Broadly speaking, there are two popular ways researchers are using AI to train robots. Pathak has been using reinforcement learning, an AI technique that allows systems to improve through trial and error, to get robots to adapt their movements in new environments. This is a technique that Boston Dynamics has also started using  in its robot “dogs” called Spot.

Deepak Pathak’s team at Carnegie Mellon has used an AI technique called reinforcement learning to create a robotic dog that can do extreme parkour with minimal pre-programming.

In 2022, Pathak’s team used this method to create four-legged robot “dogs” capable of scrambling up steps and navigating tricky terrain. The robots were first trained to move around in a general way in a simulator. Then they were set loose in the real world, with a single built-in camera and computer vision software to guide them. Other similar robots rely on tightly prescribed internal maps of the world and cannot navigate beyond them.

Pathak says the team’s approach was inspired by human navigation. Humans receive information about the surrounding world from their eyes, and this helps them instinctively place one foot in front of the other to get around in an appropriate way. Humans don’t typically look down at the ground under their feet when they walk, but a few steps ahead, at a spot where they want to go. Pathak’s team trained its robots to take a similar approach to walking: each one used the camera to look ahead. The robot was then able to memorize what was in front of it for long enough to guide its leg placement. The robots learned about the world in real time, without internal maps, and adjusted their behavior accordingly. At the time, experts told MIT Technology Review the technique was a “breakthrough in robot learning and autonomy” and could allow researchers to build legged robots capable of being deployed in the wild.   

Pathak’s robot dogs have since leveled up. The team’s latest algorithm allows a quadruped robot to do extreme parkour . The robot was again trained to move around in a general way in a simulation. But using reinforcement learning, it was then able to teach itself new skills on the go, such as how to jump long distances, walk on its front legs, and clamber up tall boxes twice its height. These behaviors were not something the researchers programmed. Instead, the robot learned through trial and error and visual input from its front camera. “I didn’t believe it was possible three years ago,” Pathak says. 

In the other popular technique, called imitation learning, models learn to perform tasks by, for example, imitating the actions of a human teleoperating a robot or using a VR headset to collect data on a robot. It’s a technique that has gone in and out of fashion over decades but has recently become more popular with robots that do manipulation tasks, says Russ Tedrake, vice president of robotics research at the Toyota Research Institute and an MIT professor.

By pairing this technique with generative AI, researchers at the Toyota Research Institute, Columbia University, and MIT have been able to quickly teach robots to do many new tasks. They believe they have found a way to extend the technology propelling generative AI from the realm of text, images, and videos into the domain of robot movements. 

The idea is to start with a human, who manually controls the robot to demonstrate behaviors such as whisking eggs or picking up plates. Using a technique called diffusion policy , the robot is then able to use the data fed into it to learn skills. The researchers have taught robots more than 200 skills, such as peeling vegetables and pouring liquids, and say they are working toward teaching 1,000 skills by the end of the year. 

Many others have taken advantage of generative AI as well. Covariant, a robotics startup that spun off from OpenAI’s now-shuttered robotics research unit, has built a multimodal model called RFM-1 . It can accept prompts in the form of text, image, video, robot instructions, or measurements. Generative AI allows the robot to both understand instructions and generate images or videos relating to those tasks. 

The Toyota Research Institute team hopes this will one day lead to “large behavior models,” which are analogous to large language models, says Tedrake. “A lot of people think behavior cloning is going to get us to a ChatGPT moment for robotics,” he says. 

In a similar demonstration, earlier this year a team at Stanford managed to use a relatively cheap off-the-shelf robot costing $32,000 to do complex manipulation tasks such as cooking shrimp and cleaning stains. It learned those new skills quickly with AI. 

Called Mobile ALOHA (a loose acronym for “a low-cost open-source hardware teleoperation system”), the robot learned to cook shrimp with the help of just 20 human demonstrations and data from other tasks, such as tearing off a paper towel or piece of tape. The Stanford researchers found that AI can help robots acquire transferable skills: training on one task can improve its performance for others.

While the current generation of generative AI works with images and language, researchers at the Toyota Research Institute, Columbia University, and MIT believe the approach can extend to the domain of robot motion.

This is all laying the groundwork for robots that can be useful in homes. Human needs change over time, and teaching robots to reliably do a wide range of tasks is important, as it will help them adapt to us. That is also crucial to commercialization—first-generation home robots will come with a hefty price tag, and the robots need to have enough useful skills for regular consumers to want to invest in them. 

For a long time, a lot of the robotics community was very skeptical of these kinds of approaches, says Chelsea Finn, an assistant professor of computer science and electrical engineering at Stanford University and an advisor for the Mobile ALOHA project. Finn says that nearly a decade ago, learning-based approaches were rare at robotics conferences and disparaged in the robotics community. “The [natural-language-processing] boom has been convincing more of the community that this approach is really, really powerful,” she says. 

There is one catch, however. In order to imitate new behaviors, the AI models need plenty of data. 

More is more

Unlike chatbots, which can be trained by using billions of data points hoovered from the internet, robots need data specifically created for robots. They need physical demonstrations of how washing machines and fridges are opened, dishes picked up, or laundry folded, says Lerrel Pinto, an assistant professor of computer science at New York University. Right now that data is very scarce, and it takes a long time for humans to collect.

Some researchers are trying to use existing videos of humans doing things to train robots, hoping the machines will be able to copy the actions without the need for physical demonstrations. 

Pinto’s lab has also developed a neat, cheap data collection approach that connects robotic movements to desired actions. Researchers took a reacher-grabber stick, similar to ones used to pick up trash, and attached an iPhone to it. Human volunteers can use this system to film themselves doing household chores, mimicking the robot’s view of the end of its robotic arm. Using this stand-in for Stretch’s robotic arm and an open-source system called DOBB-E , Pinto’s team was able to get a Stretch robot to learn tasks such as pouring from a cup and opening shower curtains with just 20 minutes of iPhone data.  

But for more complex tasks, robots would need even more data and more demonstrations.  

The requisite scale would be hard to reach with DOBB-E, says Pinto, because you’d basically need to persuade every human on Earth to buy the reacher-­grabber system, collect data, and upload it to the internet. 

A new initiative kick-started by Google DeepMind, called the Open X-Embodiment Collaboration, aims to change that. Last year, the company partnered with 34 research labs and about 150 researchers to collect data from 22 different robots, including Hello Robot’s Stretch. The resulting data set, which was published in October 2023, consists of robots demonstrating 527 skills, such as picking, pushing, and moving.  

Sergey Levine, a computer scientist at UC Berkeley who participated in the project, says the goal was to create a “robot internet” by collecting data from labs around the world. This would give researchers access to bigger, more scalable, and more diverse data sets. The deep-learning revolution that led to the generative AI of today started in 2012 with the rise of ImageNet , a vast online data set of images. The Open X-Embodiment Collaboration is an attempt by the robotics community to do something similar for robot data. 

Early signs show that more data is leading to smarter robots. The researchers built two versions of a model for robots, called RT-X, that could be either run locally on individual labs’ computers or accessed via the web. The larger, web-accessible model was pretrained with internet data to develop a “visual common sense,” or a baseline understanding of the world, from the large language and image models. 

When the researchers ran the RT-X model on many different robots, they discovered that the robots were able to learn skills 50% more successfully than in the systems each individual lab was developing.

“I don’t think anybody saw that coming,” says Vincent Vanhoucke, Google DeepMind’s head of robotics. “Suddenly there is a path to basically leveraging all these other sources of data to bring about very intelligent behaviors in robotics.”

Many roboticists think that large vision-language models, which are able to analyze image and language data, might offer robots important hints as to how the surrounding world works, Vanhoucke says. They offer semantic clues about the world and could help robots with reasoning, deducing things, and learning by interpreting images. To test this, researchers took a robot that had been trained on the larger model and asked it to point to a picture of Taylor Swift. The researchers had not shown the robot pictures of Swift, but it was still able to identify the pop star because it had a web-scale understanding of who she was even without photos of her in its data set, says Vanhoucke.

Vanhoucke says Google DeepMind is increasingly using techniques similar to those it would use for machine translation to translate from English to robotics. Last summer, Google introduced a vision-language-­action model called RT-2 . This model gets its general understanding of the world from online text and images it has been trained on, as well as its own interactions in the real world. It translates that data into robotic actions. Each robot has a slightly different way of translating English into action, he adds.  

“We increasingly feel like a robot is essentially a chatbot that speaks robotese,” Vanhoucke says. 

Despite the fast pace of development, robots still face many challenges before they can be released into the real world. They are still way too clumsy for regular consumers to justify spending tens of thousands of dollars on them. Robots also still lack the sort of common sense that would allow them to multitask. And they need to move from just picking things up and placing them somewhere to putting things together, says Goldberg—for example, putting a deck of cards or a board game back in its box and then into the games cupboard. 

But to judge from the early results of integrating AI into robots, roboticists are not wasting their time, says Pinto. 

“I feel fairly confident that we will see some semblance of a general-purpose home robot. Now, will it be accessible to the general public? I don’t think so,” he says. “But in terms of raw intelligence, we are already seeing signs right now.” 

Building the next generation of robots might not just assist humans in their everyday chores or help people like Henry Evans live a more independent life. For researchers like Pinto, there is an even bigger goal in sight.

Home robotics offers one of the best benchmarks for human-level machine intelligence, he says. The fact that a human can operate intelligently in the home environment, he adds, means we know this is a level of intelligence that can be reached. 

“It’s something which we can potentially solve. We just don’t know how to solve it,” he says. 

For Henry and Jane Evans, a big win would be to get a robot that simply works reliably. The Stretch robot that the Evanses experimented with is still too buggy to use without researchers present to troubleshoot, and their home doesn’t always have the dependable Wi-Fi connectivity Henry needs in order to communicate with Stretch using a laptop.

Even so, Henry says, one of the greatest benefits of his experiment with robots has been independence: “All I do is lay in bed, and now I can do things for myself that involve manipulating my physical environment.”

Thanks to Stretch, for the first time in two decades, Henry was able to hold his own playing cards during a match. 

“I kicked everyone’s butt several times,” he says. 

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Resolving Workforce Skills Gaps with AI-Powered Insights

Ongoing digital transformation requires a workforce that is proficient in a wide variety of new skills. This briefing explores the use of AI in quantifying such proficiency, through a process known as skills inference. We introduce this concept by means of a case study of Johnson & Johnson, showing how skills inference can provide detailed insight into workforce skills gaps and thereby guide employees’ career development and leaders’ strategic workforce planning.

The April 2024 research briefing is read by author Nick van der Meulen.

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© 2024 MIT Center for Information Systems Research, van der Meulen, Tona, and Leidner. MIT CISR Research Briefings are published monthly to update the center’s member organizations on current research projects.

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Olgerta Tona, Lecturer, University of Gothenburg and Academic Research Fellow, MIT CISR

Dorothy E. Leidner, Professor, University of Virginia and Academic Research Fellow, MIT CISR

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Computer Vision Spearheading AI Productivity In 2024, Says Latest Research

Average productivity gains of 42% over three years predicted but potential barriers are a lack of skills and in-house knowledge.

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Munich, Germany. 18 th April 2024 –  Adoption of Computer Vision technology, powered by AI, is at a tipping point and set to power productivity across a range of industry sectors, according to the latest research commissioned by Panasonic Connect Europe. On average, decision-makers predict a productivity increase of 42% in the three years following deployment. The manufacturing industry anticipates the biggest boost with increases in productivity as high as 52%. 

Computer Vision is the field of artificial intelligence that enables computers and systems to derive meaningful information from digital images. It is the “eyes of AI”, observing, identifying, classifying, tracking, and ultimately interpreting images into usable “knowledge” that can be further interrogated by humans or by complementary AI. 

Wide variety of applications

Respondents report that Computer Vision technology is being used across a wide variety of business departments and applications . Practical activities such as repairs and maintenance, production line monitoring, and quality control slightly outweigh use in security and health and safety. Applications in logistics and supply chain are popular, along with real-time projection mapping and people tracking, demonstrating the broad scope of use cases relevant to Computer Vision tech.

Available skills a barrier to deployment

The biggest barriers to deploying the technology were a lack of external specialist support (37%) and maintaining computer vision knowledge in the business (33%). Businesses are also highly sensitive to the potential ethical concerns of deploying AI-powered Computer Vision applications. The largest concern being data security (35%), closely followed by personal privacy and surveillance concerns, lack of corporate guidance and fears for job replacement – all level at 32%. 

Wider AI deployment surging ahead

Looking at the wider adoption of Generative AI, the momentum is clear. Overall, more than two-thirds (67%) say that using generative AI is important to their business. More than one-third of respondents (37%) have already implemented a solution and are seeing benefits. A further third (34%) are in the planning stage or the process of implementing the technology. 17% are still thinking about it, but only 13% say they will not deploy Generative AI at all.

"The research shows clearly that Computer Vision technology is not just a concept but a present reality that is already steering businesses towards significant productivity and operational gains. Organisations across all sectors that are not yet in the planning stages of deployment are in danger of falling behind. There is also a clear need for specialists, such as Panasonic, to assist businesses in understanding how to deploy this technology effectively and responsibly."

The independent research, carried out by Opinion Matters and commissioned by Panasonic Connect Europe, surveyed 300 senior decision makers responsible for digital transformation and AI/computer vision implementation, working in companies with an annual turnover of 50 million+ Euros across Germany and the UK.

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