tools for academic research

The best AI tools for research papers and academic research (Literature review, grants, PDFs and more)

As our collective understanding and application of artificial intelligence (AI) continues to evolve, so too does the realm of academic research. Some people are scared by it while others are openly embracing the change. 

Make no mistake, AI is here to stay!

Instead of tirelessly scrolling through hundreds of PDFs, a powerful AI tool comes to your rescue, summarizing key information in your research papers. Instead of manually combing through citations and conducting literature reviews, an AI research assistant proficiently handles these tasks.

These aren’t futuristic dreams, but today’s reality. Welcome to the transformative world of AI-powered research tools!

The influence of AI in scientific and academic research is an exciting development, opening the doors to more efficient, comprehensive, and rigorous exploration.

This blog post will dive deeper into these tools, providing a detailed review of how AI is revolutionizing academic research. We’ll look at the tools that can make your literature review process less tedious, your search for relevant papers more precise, and your overall research process more efficient and fruitful.

I know that I wish these were around during my time in academia. It can be quite confronting when trying to work out what ones you should and shouldn’t use. A new one seems to be coming out every day!

Here is everything you need to know about AI for academic research and the ones I have personally trialed on my Youtube channel.

Best ChatGPT interface – Chat with PDFs/websites and more

I get more out of ChatGPT with HeyGPT . It can do things that ChatGPT cannot which makes it really valuable for researchers.

Use your own OpenAI API key ( h e re ). No login required. Access ChatGPT anytime, including peak periods. Faster response time. Unlock advanced functionalities with HeyGPT Ultra for a one-time lifetime subscription

AI literature search and mapping – best AI tools for a literature review – elicit and more

Harnessing AI tools for literature reviews and mapping brings a new level of efficiency and precision to academic research. No longer do you have to spend hours looking in obscure research databases to find what you need!

AI-powered tools like Semantic Scholar and elicit.org use sophisticated search engines to quickly identify relevant papers.

They can mine key information from countless PDFs, drastically reducing research time. You can even search with semantic questions, rather than having to deal with key words etc.

With AI as your research assistant, you can navigate the vast sea of scientific research with ease, uncovering citations and focusing on academic writing. It’s a revolutionary way to take on literature reviews.

• Elicit –  https://elicit.org
• Supersymmetry.ai: https://www.supersymmetry.ai
• Semantic Scholar: https://www.semanticscholar.org
• Connected Papers –  https://www.connectedpapers.com/
• Research rabbit – https://www.researchrabbit.ai/
• Laser AI –  https://laser.ai/
• Litmaps –  https://www.litmaps.com
• Inciteful –  https://inciteful.xyz/
• Scite –  https://scite.ai/
• System –  https://www.system.com

If you like AI tools you may want to check out this article:

• How to get ChatGPT to write an essay [The prompts you need]

AI-powered research tools and AI for academic research

AI research tools, like Concensus, offer immense benefits in scientific research. Here are the general AI-powered tools for academic research. 

These AI-powered tools can efficiently summarize PDFs, extract key information, and perform AI-powered searches, and much more. Some are even working towards adding your own data base of files to ask questions from. 

Tools like scite even analyze citations in depth, while AI models like ChatGPT elicit new perspectives.

The result? The research process, previously a grueling endeavor, becomes significantly streamlined, offering you time for deeper exploration and understanding. Say goodbye to traditional struggles, and hello to your new AI research assistant!

• Bit AI –  https://bit.ai/
• Consensus –  https://consensus.app/
• Exper AI –  https://www.experai.com/
• Hey Science (in development) –  https://www.heyscience.ai/
• Iris AI –  https://iris.ai/
• PapersGPT (currently in development) –  https://jessezhang.org/llmdemo
• Research Buddy –  https://researchbuddy.app/
• Mirror Think – https://mirrorthink.ai

AI for reading peer-reviewed papers easily

Using AI tools like Explain paper and Humata can significantly enhance your engagement with peer-reviewed papers. I always used to skip over the details of the papers because I had reached saturation point with the information coming in. 

These AI-powered research tools provide succinct summaries, saving you from sifting through extensive PDFs – no more boring nights trying to figure out which papers are the most important ones for you to read!

They not only facilitate efficient literature reviews by presenting key information, but also find overlooked insights.

With AI, deciphering complex citations and accelerating research has never been easier.

• Open Read –  https://www.openread.academy
• Chat PDF – https://www.chatpdf.com
• Explain Paper – https://www.explainpaper.com
• Humata – https://www.humata.ai/
• Lateral AI –  https://www.lateral.io/
• Paper Brain –  https://www.paperbrain.study/
• Scholarcy – https://www.scholarcy.com/
• SciSpace Copilot –  https://typeset.io/
• Unriddle – https://www.unriddle.ai/
• Sharly.ai – https://www.sharly.ai/

AI for scientific writing and research papers

In the ever-evolving realm of academic research, AI tools are increasingly taking center stage.

Enter Paper Wizard, Jenny.AI, and Wisio – these groundbreaking platforms are set to revolutionize the way we approach scientific writing.

Together, these AI tools are pioneering a new era of efficient, streamlined scientific writing.

• Paper Wizard –  https://paperwizard.ai/
• Jenny.AI https://jenni.ai/ (20% off with code ANDY20)
• Wisio – https://www.wisio.app

AI academic editing tools

In the realm of scientific writing and editing, artificial intelligence (AI) tools are making a world of difference, offering precision and efficiency like never before. Consider tools such as Paper Pal, Writefull, and Trinka.

Together, these tools usher in a new era of scientific writing, where AI is your dedicated partner in the quest for impeccable composition.

• Paper Pal –  https://paperpal.com/
• Writefull –  https://www.writefull.com/
• Trinka –  https://www.trinka.ai/

AI tools for grant writing

In the challenging realm of science grant writing, two innovative AI tools are making waves: Granted AI and Grantable.

These platforms are game-changers, leveraging the power of artificial intelligence to streamline and enhance the grant application process.

Granted AI, an intelligent tool, uses AI algorithms to simplify the process of finding, applying, and managing grants. Meanwhile, Grantable offers a platform that automates and organizes grant application processes, making it easier than ever to secure funding.

Together, these tools are transforming the way we approach grant writing, using the power of AI to turn a complex, often arduous task into a more manageable, efficient, and successful endeavor.

• Granted AI – https://grantedai.com/
• Grantable – https://grantable.co/

Free AI research tools

There are many different tools online that are emerging for researchers to be able to streamline their research processes. There’s no need for convience to come at a massive cost and break the bank.

The best free ones at time of writing are:

• Elicit – https://elicit.org
• Connected Papers – https://www.connectedpapers.com/
• Litmaps – https://www.litmaps.com ( 10% off Pro subscription using the code “STAPLETON” )
• Consensus – https://consensus.app/

Wrapping up

The integration of artificial intelligence in the world of academic research is nothing short of revolutionary.

With the array of AI tools we’ve explored today – from research and mapping, literature review, peer-reviewed papers reading, scientific writing, to academic editing and grant writing – the landscape of research is significantly transformed.

The advantages that AI-powered research tools bring to the table – efficiency, precision, time saving, and a more streamlined process – cannot be overstated.

These AI research tools aren’t just about convenience; they are transforming the way we conduct and comprehend research.

They liberate researchers from the clutches of tedium and overwhelm, allowing for more space for deep exploration, innovative thinking, and in-depth comprehension.

Whether you’re an experienced academic researcher or a student just starting out, these tools provide indispensable aid in your research journey.

And with a suite of free AI tools also available, there is no reason to not explore and embrace this AI revolution in academic research.

We are on the precipice of a new era of academic research, one where AI and human ingenuity work in tandem for richer, more profound scientific exploration. The future of research is here, and it is smart, efficient, and AI-powered.

Before we get too excited however, let us remember that AI tools are meant to be our assistants, not our masters. As we engage with these advanced technologies, let’s not lose sight of the human intellect, intuition, and imagination that form the heart of all meaningful research. Happy researching!

Thank you to Ivan Aguilar – Ph.D. Student at SFU (Simon Fraser University), for starting this list for me!

Dr Andrew Stapleton has a Masters and PhD in Chemistry from the UK and Australia. He has many years of research experience and has worked as a Postdoctoral Fellow and Associate at a number of Universities. Although having secured funding for his own research, he left academia to help others with his YouTube channel all about the inner workings of academia and how to make it work for you.

Thank you for visiting Academia Insider.

We are here to help you navigate Academia as painlessly as possible. We are supported by our readers and by visiting you are helping us earn a small amount through ads and affiliate revenue - Thank you!

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Top 21 must-have digital tools for researchers

Last updated

12 May 2023

Reviewed by

Jean Kaluza

Research drives many decisions across various industries, including:

Uncovering customer motivations and behaviors to design better products

Assessing whether a market exists for your product or service

Running clinical studies to develop a medical breakthrough

Conducting effective and shareable research can be a painstaking process. Manual processes are sluggish and archaic, and they can also be inaccurate. That’s where advanced online tools can help. 

The right tools can enable businesses to lean into research for better forecasting, planning, and more reliable decisions. 

• Why do researchers need research tools?

Research is challenging and time-consuming. Analyzing data, running focus groups , reading research papers , and looking for useful insights take plenty of heavy lifting. 

These days, researchers can’t just rely on manual processes. Instead, they’re using advanced tools that:

Speed up the research process

Enable new ways of reaching customers

Improve organization and accuracy

Allow better monitoring throughout the process

Enhance collaboration across key stakeholders

• The most important digital tools for researchers

Some tools can help at every stage, making researching simpler and faster.

They ensure accurate and efficient information collection, management, referencing, and analysis. 

Some of the most important digital tools for researchers include:

Research management tools

Research management can be a complex and challenging process. Some tools address the various challenges that arise when referencing and managing papers. 

.css-32cyld{-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;background:transparent;border:0;color:inherit;cursor:pointer;display:inline-block;-webkit-flex-shrink:0;-ms-flex-negative:0;flex-shrink:0;-webkit-text-decoration:underline;text-decoration:underline;} Zotero

Coined as a personal research assistant, Zotero is a tool that brings efficiency to the research process. Zotero helps researchers collect, organize, annotate, and share research easily. 

Zotero integrates with internet browsers, so researchers can easily save an article, publication, or research study on the platform for later. 

The tool also has an advanced organizing system to allow users to label, tag, and categorize information for faster insights and a seamless analysis process. 

Messy paper stacks––digital or physical––are a thing of the past with Paperpile. This reference management tool integrates with Google Docs, saving users time with citations and paper management. 

Referencing, researching, and gaining insights is much cleaner and more productive, as all papers are in the same place. Plus, it’s easier to find a paper when you need it. 

Acting as a single source of truth (SSOT), Dovetail houses research from the entire organization in a simple-to-use place. Researchers can use the all-in-one platform to collate and store data from interviews , forms, surveys , focus groups, and more. 

Dovetail helps users quickly categorize and analyze data to uncover truly actionable insights . This helps organizations bring customer insights into every decision for better forecasting, planning, and decision-making. 

Dovetail integrates with other helpful tools like ​Slack, Atlassian, Notion, and Zapier for a truly efficient workflow.

Putting together papers and referencing sources can be a huge time consumer. EndNote claims that researchers waste 200,000 hours per year formatting citations. 

To address the issue, the tool formats citations automatically––simultaneously creating a bibliography while the user writes. 

EndNote is also a cloud-based system that allows remote working, multiple-user interaction and collaboration, and seamless working on different devices. 

Information survey tools

Surveys are a common way to gain data from customers. These tools can make the process simpler and more cost-effective. 

With ready-made survey templates––to collect NPS data, customer effort scores, five-star surveys, and more––getting going with Delighted is straightforward. 

Delighted helps teams collect and analyze survey feedback without needing any technical knowledge. The templates are customizable, so you can align the content with your brand. That way, the survey feels like it’s coming from your company, not a third party. 

SurveyMonkey

With millions of customers worldwide, SurveyMonkey is another leader in online surveys. SurveyMonkey offers hundreds of templates that researchers can use to set up and deploy surveys quickly. 

Whether your survey is about team performance, hotel feedback, post-event feedback, or an employee exit, SurveyMonkey has a ready-to-use template. 

Typeform offers free templates you can quickly embed, which comes with a point of difference: It designs forms and surveys with people in mind, focusing on customer enjoyment. 

Typeform employs the ‘one question at a time’ method to keep engagement rates and completions high. It focuses on surveys that feel more like conversations than a list of questions.

Web data analysis tools

Collecting data can take time––especially technical information. Some tools make that process simpler. 

For those conducting clinical research, data collection can be incredibly time-consuming. Teamscope provides an online platform to collect and manage data simply and easily. 

Researchers and medical professionals often collect clinical data through paper forms or digital means. Those are too easy to lose, tricky to manage, and challenging to collaborate on. 

With Teamscope, you can easily collect, store, and electronically analyze data like patient-reported outcomes and surveys. 

Heap is a digital insights platform providing context on the entire customer journey . This helps businesses improve customer feedback , conversion rates, and loyalty. 

Through Heap, you can seamlessly view and analyze the customer journey across all platforms and touchpoints, whether through the app or website. 

Another analytics tool, Smartlook, combines quantitative and qualitative analytics into one platform. This helps organizations understand user behavior and make crucial improvements. 

Smartlook is useful for analyzing web pages, purchasing flows, and optimizing conversion rates. 

Project management tools

Managing multiple research projects across many teams can be complex and challenging. Project management tools can ease the burden on researchers. 

Visual productivity tool Trello helps research teams manage their projects more efficiently. Trello makes product tracking easier with:

A range of workflow options

Unique project board layouts

Advanced descriptions

Integrations

Trello also works as an SSOT to stay on top of projects and collaborate effectively as a team. 

To connect research, workflows, and teams, Airtable provides a clean interactive interface. 

With Airtable, it’s simple to place research projects in a list view, workstream, or road map to synthesize information and quickly collaborate. The Sync feature makes it easy to link all your research data to one place for faster action. 

For product teams, Asana gathers development, copywriting, design, research teams, and product managers in one space. 

As a task management platform, Asana offers all the expected features and more, including time-tracking and Jira integration. The platform offers reporting alongside data collection methods, so it’s a favorite for product teams in the tech space.

Grammar checker tools

Grammar tools ensure your research projects are professional and proofed. 

No one’s perfect, especially when it comes to spelling, punctuation, and grammar. That’s where Grammarly can help. 

Grammarly’s AI-powered platform reviews your content and corrects any mistakes. Through helpful integrations with other platforms––such as Gmail, Google Docs, Twitter, and LinkedIn––it’s simple to spellcheck as you go. 

Another helpful grammar tool is Trinka AI. Trinka is specifically for technical and academic styles of writing. It doesn’t just correct mistakes in spelling, punctuation, and grammar; it also offers explanations and additional information when errors show. 

Researchers can also use Trinka to enhance their writing and:

Align it with technical and academic styles

Improve areas like syntax and word choice

Discover relevant suggestions based on the content topic

Plagiarism checker tools

Avoiding plagiarism is crucial for the integrity of research. Using checker tools can ensure your work is original. 

Plagiarism checker Quetext uses DeepSearch™ technology to quickly sort through online content to search for signs of plagiarism. 

With color coding, annotations, and an overall score, it’s easy to identify conflict areas and fix them accordingly. 

Duplichecker

Another helpful plagiarism tool is Duplichecker, which scans pieces of content for issues. The service is free for content up to 1000 words, with paid options available after that. 

If plagiarism occurs, a percentage identifies how much is duplicate content. However, the interface is relatively basic, offering little additional information.  

Journal finder tools

Finding the right journals for your project can be challenging––especially with the plethora of inaccurate or predatory content online. Journal finder tools can solve this issue. 

Enago Journal Finder

The Enago Open Access Journal Finder sorts through online journals to verify their legitimacy. Through Engao, you can discover pre-vetted, high-quality journals through a validated journal index. 

Enago’s search tool also helps users find relevant journals for their subject matter, speeding up the research process. 

JournalFinder

JournalFinder is another journal tool that’s popular with academics and researchers. It makes the process of discovering relevant journals fast by leaning into a machine-learning algorithm.

This is useful for discovering key information and finding the right journals to publish and share your work in. 

Social networking for researchers

Collaboration between researchers can improve the accuracy and sharing of information. Promoting research findings can also be essential for public health, safety, and more. 

While typical social networks exist, some are specifically designed for academics.

ResearchGate

Networking platform ResearchGate encourages researchers to connect, collaborate, and share within the scientific community. With 20 million researchers on the platform, it's a popular choice. 

ResearchGate is founded on an intention to advance research. The platform provides topic pages for easy connection within a field of expertise and access to millions of publications to help users stay up to date. 

Academia is another commonly used platform that connects 220 million academics and researchers within their specialties. 

The platform aims to accelerate research with discovery tools and grow a researcher’s audience to promote their ideas. 

On Academia, users can access 47 million PDFs for free. They cover topics from mechanical engineering to applied economics and child psychology. 

• Expedited research with the power of tools

For researchers, finding data and information can be time-consuming and complex to manage. That’s where the power of tools comes in. 

Manual processes are slow, outdated, and have a larger potential for inaccuracies. 

Leaning into tools can help researchers speed up their processes, conduct efficient research, boost their accuracy, and share their work effectively. 

With tools available for project and data management, web data collection, and journal finding, researchers have plenty of assistance at their disposal.

When it comes to connecting with customers, advanced tools boost customer connection while continually bringing their needs and wants into products and services.

What are primary research tools?

Primary research is data and information that you collect firsthand through surveys, customer interviews, or focus groups. 

Secondary research is data and information from other sources, such as journals, research bodies, or online content. 

Primary researcher tools use methods like surveys and customer interviews. You can use these tools to collect, store, or manage information effectively and uncover more accurate insights. 

What is the difference between tools and methods in research?

Research methods relate to how researchers gather information and data. 

For example, surveys, focus groups, customer interviews, and A/B testing are research methods that gather information. 

On the other hand, tools assist areas of research. Researchers may use tools to more efficiently gather data, store data securely, or uncover insights. 

Tools can improve research methods, ensuring efficiency and accuracy while reducing complexity.

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A free, AI-powered research tool for scientific literature

• Nancy Cartwright
• Electronegativity

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Introducing semantic reader in beta.

Stay Connected With Semantic Scholar Sign Up What Is Semantic Scholar? Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI.

30 Tools and Resources for Academic Research

Merriam-Webster defines “research” as “careful or diligent search; studious inquiry or examination; the collecting of information about a particular subject”. It’s not easy to conduct academic research, so here we round up 30 tools that will facilitate your research in managing, indexing, and web scraping .

Looking for data resources for your research? Find it in  70 Amazing Free Data Resources you should know, covering government, crime, health, finances, social media, journalism, real estate, etc.

10 Research Management Tools

1. marginnote.

License: Commercial

MarginNote is a powerful reading tool for learners. Whether you are a student, a teacher, a researcher, a lawyer, or someone with a curious mind to learn, MarginNote can help you quickly organize, study and manage large volumes of PDFs and EPUBs. All-in-one learning app enables you to highlight PDF and EPUB, take notes, create the mind map, review flashcards, and saves you from switching endlessly between different Apps. It is available on Mac, iPad, and iPhone.

License: Free

Zotero is a free, easy-to-use tool to help you collect, organize, cite, and share research. It is available for Mac, Windows, and Linux. It supports managing bibliographic data and related research materials (such as PDF files). Notable features include web browser integration, online syncing, generation of in-text citations, footnotes, and bibliographies, as well as integration with the word processors Microsoft Word and LibreOffice Writer.

3. RefWorks

RefWorks is a web-based commercial reference management software package. Users’ reference databases are stored online, allowing them to be accessed and updated from any computer with an internet connection. Institutional licenses allow universities to subscribe to RefWorks on behalf of all their students, faculty, and staff. Individual licenses are also available. The software enables linking from a user’s RefWorks account to electronic editions of journals to which the institution’s library subscribes.

EndNote is the industry standard software tool for publishing and managing bibliographies, citations, and references on the Windows and Macintosh desktop. EndNote X9 is the reference management software that not only frees you from the tedious work of manually collecting and curating your research materials and formatting bibliographies, but also gives you greater ease and control in coordinating with your colleagues.

5. Mendeley

Mendeley Desktop is free academic software (Windows, Mac, Linux) for organizing and sharing research papers and generating bibliographies with 1GB of free online storage to automatically back up and synchronize your library across desktop, web, and mobile.

6. Readcube

ReadCube is a desktop and browser-based program for managing, annotating, and accessing academic research articles. It can sync your entire library including notes, lists, annotations, and even highlights across all of your devices including your desktop (Mac/PC), mobile devices (iOS/Android/Kindle), or even through the Web.

Qiqqa is a free research and reference manager. Its free version supports supercharged PDF management, annotation reports, expedition, Ad-supported, and 2GB free online storage.

Docear offers a single-section user interface that allows the most comprehensive organization of your literature; a literature suite concept that combines several tools in a single application (pdf management, reference management, mind mapping, …); A recommender system that helps you to discover new literature: Docear recommends papers which are free, in full-text, instantly to download, and tailored to your information needs.

9. Paperpile

Paperpile is a web-based commercial reference management software, with a special emphasis on integration with Google Docs and Google Scholar. Parts of Paperpile are implemented as a Google Chrome browser extension

JabRef is an open-source bibliography reference manager. The native file format used by JabRef is BibTeX, the standard LaTeX bibliography format. JabRef is a desktop application that runs on the Java VM (version 8), and works equally well on Windows, Linux, and Mac OS X. Entries can be searched in external databases and BibTeX entries can be fetched from there. Example sources include arXiv, CiteseerX, Google Scholar, Medline, GVK, IEEEXplore, and Springer.

10 Reference/Index Resources

1. google scholar.

Google Scholar is a freely accessible web search engine that indexes the full text or metadata of scholarly literature across an array of publishing formats and disciplines. It includes most peer-reviewed online academic journals and books, conference papers, theses and dissertations, preprints, abstracts, technical reports, and other scholarly literature, including court opinions and patents. You can extract these academic data easily by scraping Google Scholar search results .

arXiv (pronounced “archive”) is a repository of electronic preprints (known as e-prints) approved for publication after moderation, that consists of scientific papers in the fields of mathematics, physics, astronomy, electrical engineering, computer science, quantitative biology, statistics, and quantitative finance, which can be accessed online. In many fields of mathematics and physics, almost all scientific papers are self-archived on the arXiv repository.

3. Springer

Springer Science+Business Media or Springer, part of Springer Nature, has published more than 2,900 journals and 290,000 books, which covers science, humanities, technical and medical, etc.

4. Hyper Articles en Ligne

Hyper Articles en Ligne (HAL) is an open archive where authors can deposit scholarly documents from all academic fields, run by the Centre pour la Communication Scientifique direct, which is part of the French National Centre for Scientific Research. An uploaded document does not need to have been published or even to be intended for publication. It may be posted to HAL as long as its scientific content justifies it.

MEDLINE (Medical Literature Analysis and Retrieval System Online, or MEDLARS Online) is a bibliographic database of life sciences and biomedical information. It includes bibliographic information for articles from academic journals covering medicine, nursing, pharmacy, dentistry, veterinary medicine, and health care. MEDLINE also covers much of the literature in biology and biochemistry, as well as fields such as molecular evolution.

Compiled by the United States National Library of Medicine (NLM), MEDLINE is freely available on the Internet and searchable via PubMed and NLM’s National Center for Biotechnology Information’s Entrez system.

6. ResearchGate

ResearchGate is a social networking site for scientists and researchers[3] to share papers, ask and answer questions, and find collaborators.[4] According to a study by Nature and an article in Times Higher Education, it is the largest academic social network in terms of active users.

7. CiteSeerx

Owner: Pennsylvania State University

CiteSeerx ( CiteSeer ) is a public search engine and digital library for scientific and academic papers, primarily in the fields of computer and information science. Many consider it to be the first academic paper search engine and the first automated citation indexing system. CiteSeer holds a United States patent # 6289342, titled “Autonomous citation indexing and literature browsing using citation context”.

Owner: Elsevier

Scopus is the world’s largest abstract and citation database of peer-reviewed research literature. With over 22,000 titles from more than 5,000 international publishers. You can use this free author lookup to search for any author; or, use the Author Feedback Wizard to verify your Scopus Author Profile.

9. Emerald Group Publishing

Emerald Publishing was founded in 1967, and now manages a portfolio of nearly 300 journals, more than 2,500 books, and over 1,500 teaching cases, covering the fields of management, business, education, library studies, health care, and engineering.

10. Web of Science

Owner: Clarivate Analytics (United States)

Web of Science (previously known as Web of Knowledge) is an online subscription-based scientific citation indexing service originally produced by the Institute for Scientific Information (ISI)

5 Information Survey Tools

1. google forms.

Google Forms is a simple option for you if you already have a Google account. It supports menu search, a shuffle of questions for randomized order, limiting responses to once per person, custom themes, automatically generating answer suggestions when creating forms, and an “Upload file” option for users answering to share content through.

Moreover, the response can be synced in Google Drive, and users can request file uploads from individuals outside their respective companies, with the storage cap initially set at 1 GB.

2. Survey Monkey

Survey Monkey is quite a well-known name in the field but is also costing. It is a great choice for you if you want an easy user interface for basic surveys, as its free plan supports unlimited surveys, however, each survey is limited to 10 questions.

3. Survey Gizmo

SurveyGizmo can be customized to meet a wide range of data-collection demands. The free version has up to 25 question types, letting you write a survey that caters to specific needs. It also offers nearly 100 different question types that can all be customized to the user’s liking.

4. PollDaddy

PollDaddy is online survey software that allows users to embed surveys on their website or invite respondents via email. Its free version supports unlimited polls, 19 types of questions, and even adding images, videos, and content from YouTube, Flickr, Google Maps, and more.

5. LimeSurvey

LimeSurvey is an open-source survey software as a professional SaaS solution or as a self-hosted Community Edition. LimeSurvey’s professional free version provides 25 responses/month with an unlimited number of surveys, unlimited administrators, and 10 MB of upload storage.

5 Web Data Collection Tools

1. octoparse.

Octoparse is the most easy-to-use web scraping tool for people without a prior tech background. It is widely used among online sellers, marketers, researchers, and data analysts. With its intuitive interface, you can scrape web data within points and clicks. It also provides ready-to-use web scraping templates to extract data from Amazon, eBay, Twitter, BestBuy, etc. If you are looking for a one-stop data solution, Octoparse also provides a  web data service . Or you can simply follow the Octoparse user guide to scrape website data easily for free.

Its free version offers unlimited pages per crawl, 10 crawlers, and up to 10,000 records per export. If the data collected is over 10,000, then you can pay $5.9 to export all the data. If you need to track the dynamic data in real time, you may want to use Octoparse’s premium feature: scheduled cloud extraction. Read its customer stories to get an idea of how web scraping enhances businesses.

2. Parsehub

Parsehub is another non-programmer-friendly desktop software for web scraping, which is available to various systems such as Windows, Mac OS X, and Linux. Its free version offers 200 pages per crawl, 5 public projects, and 14 days for data retention.

3. Docparser

Docparser converts PDF documents into structured and easy-to-handle data, which allows you to extract specific data fields from PDFs and scanned documents, convert PDF to text, PDF to JSON, PDF to XML, convert PDF tables into CSV or Excel, etc. Its starting price is $19, which includes 100 parsing credits.

Scrapy is an open-source and collaborative framework for extracting the data you need from websites. In a fast, simple, yet extensible way.

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Top 13 Tools for Researchers in 2024!

Gone are the days of going to the library, studying numerous books, taking notes on paper, and doing research. Thanks to technology, we no longer have to do this tedious routine to do research. However, research is still a meticulous, painstaking process.

This is why we decided to uncover some of the best software tools for researchers that are going to help you conduct and maintain your research with ease. Read on…

List of Top 13 Best Tools for Researchers for better results:

Research today is dynamic. We often use the internet to browse websites, watch videos, study analytics, and conduct our research by exploring different types of digital content, making technology a major stakeholder in making our research success .

While the internet has made it easy for us to access worldly information with the click of a button (or mouse!), it has created a whole new set of problems.

Sorting through a seemingly infinite number of websites, verifying content, and curating only the best stuff can take a lot of time and effort. This is why we have brought you 13 essential research tools every researcher should use while working on the internet.

1. Bit.ai  

Online research means going through numerous websites, articles, blogs, images, videos, infographics, and more to find what you are looking for.

For our dynamic, interactive, and media-rich research, we need a tool that incorporates all facets of modern-day research under one roof. Simple text editors of the past just won’t cut it anymore! This is where Bit comes in.

Bit allows researchers and teams to collaborate, share, track, and manage all knowledge and research in one place.

It’s the perfect research tool to share multi-dimensional research with your peers and not just plain, boring text and slides.

Add articles, PDFs, videos, white papers, ebooks, audio samples- basically anything you can think of – and share it with your peers easily!

Other notable features of Bit include:

• An easy-to-use, minimal editor that supports Markdown.
• Collaborative, real-time editing, and communication with peers.
• Add any type of digital content (images, videos, etc) to your Bit document.
• A content library to save all your media files for quick access.
• Smart search, allows anyone to search and find any files, images, documents, links, etc quickly.

All-in-all, Bit is a must-have writing tool for researchers and authors!

Key Features of Bit: 

• Workspaces to store different research content easily
• Content library to store media assets
• Real-time collaboration with fellow researchers
• Free with limited functionality
• Paid plans start from Pro ($8/month), Business ($15/month), Enterprise (contact sales)

Read more:  How Bit.ai Can Help You Manage Your Academic Research?

2. elink.io

Research often involves going through hundreds of links and articles and compiling them in one safe space for future reference or publishing them for your audience.

This is why many researchers use bookmarking and curation tools like elink to quickly save their links under one roof and share them with their peers.

elink makes it easy for researchers to save content from around the web. They can save article links, videos, cloud files, social media posts, and much more!

Researchers have the option of saving content to their link library or adding them directly to content collections and sharing their research with their peers . To make the bookmarking process a breeze, elink also has a chrome extension .

Simply click on the extension or right-click on any webpage to save the content directly to your elink dashboard.

Researchers can edit the title and description to add their own voices or notes. They can even bundle links together and share their link collection with others as a newsletter or embed the collection on your blog/website!

Key Features of elink:

• Save links quickly using the chrome extension
• Create and share research links as a newsletter or embed it on your website
• Easy user-interface
• Paid plans start at Pro Monthly ($15/month), Pro 1 Year ($12/month), and Pro 2 years ($10/month).

3. GanttPRO

No matter what kind of research you do, you need to organize, plan, and stay focused on all of your activities.

Without a robust planning tool, researchers may fall behind the schedule and lose their progress.

GanttPRO project and task management tool makes it easy for single researchers and groups of any size to plan their tasks on a visually appealing Gantt chart timeline, follow their progress, and all the deadlines.

GanttPRO allows researchers to create a limitless number of tasks, groups of tasks, and subtasks on one timeline.

Besides, it’s a perfect planning tool for assigning tasks to your fellow researchers or creating virtual resources, whoever or whatever they may be. The software is a good choice for collaboration, time tracking, as well as sharing and exporting your schedules.

Key Features of GanttPRO:

• Dozens of ready-made templates.
• Real-time collaboration with fellow researchers.
• Elegant user interface with a short learning curve.
•   Free 14-day trial with all features available.
• Paid plans start from Team ($4.5/user/month), Individual ($15/month), Enterprise (contact sales).

4. Grammarly

Research work often involves hours of proofreading and spellchecking to make your research professional .

Grammarly, a writing enhancement tool will save you a ton of time and effort doing this dreaded task! Apart from basic spellchecking and corrections, Grammarly includes a grammar checker, a punctuation checker, a vocabulary enhancer, and even a plagiarism checker tool!

This awesome tool scans your research for more than 250 types of grammar mistakes in six distinct writing genres and leaves you with error-free writing. With thorough explanations for all your errors and weekly progress reports .

Grammarly is a must-have tool for researchers. It’s available as a browser extension, a desktop app, a web-based app, and a Microsoft add-in. Many of the Grammarly alternatives are also available in the market that is equally good.

Key Features of Grammarly: 

• Works with the majority of online tools like Word, Slack, etc.
• Plagiarism checker tool
• Tone detector
• Paid plans start from: Premium ($11.66/month), Business ($12.50/month)

Read more:   10 Best Writing Apps To Make You A Better Writer!

5. Typeset.io

With over 100,000+ verified journal formats to choose from, Typeform makes the process of research a bit too easy! Quickly copy-paste or upload your paper on Typeset and follow any citation style you need.

Typeset also has a plagiarism and grammar checker built in to ensure your writing is error-free. Once done uploading and citing, click on autoformat to generate your report in seconds.

You can also download your research in PDF , Docx, LaTeX file, or even as a Zip file. With collaboration features built-in, you can invite your fellow researchers to the platform and work together.

Key Features of Typeset: 

• Over 100,000+ journal formats to choose from
• Plagiarism and grammar checker tool
• Editing services to improve your publication chances
• Paid plans start from: Researcher ($8/month), Team($6/month), Journals / Publishers (contact sales)

6. Scrivener

Scrivener is another great tool for research writing and keeping your notes organized.

Used by researchers, screenwriters, novelists, non-fiction writers, students, journalists, academics, lawyers, translators, and more, Scrivener is a tool made for long writing projects.

On signing up, you are quickly presented with its editor, with a sidebar to keep everything in place. You can also break your content into manageable sections of any size and leave Scrivener to join them together.

For novelists and storytellers, there’s also a corkboard to visualize your storyline and move cards around as you like.

The outliner keeps a synopsis of what you have already written, along with word count data and metadata. Users can arrange their research articles and other files in folders and subfolders.

Key Features of Scrivener: 

• Desktop and mobile apps
• Outline creator
• Easy organization
• Paid plans start from $40.84/one-time fee

7. ProofHub

You must organize, prepare, and stay focused on all of your efforts, regardless of the type of research you conduct.

Researchers may go behind schedule and lose progress if they don’t have a good task management tool. ProofHub is an all-in-one project and team management application that allows research teams and organizations of any size to efficiently plan their research projects in one spot.

ProofHub allows you to create, assign and track tasks using effective task management features like Kanban boards and table view. Researchers can also get a visual idea of how their project is progressing using robust Gantt charts.

ProofHub also allows you to store and jot down all the data or information collected through your research in Notes. You can even create different notebooks and store your information according to the topic. Not just that, you can even share your research work with your team members.

Teams can also share and store files, documents, and images in ProofHub’s files section. Managers can track their team’s time spent on a specific research task using automatic and manual timers.

Team members can also brainstorm ideas or have real-time discussions in ProofHub’s discussions section and make way for better research work. 

Key features of ProofHub:

• Ready to use project templates
• Task management
• Time tracking and project reporting
• Team collaboration (chat, notes, and discussions)
• File management
• Online proofing
• 14-day free trial with all the features.

8. Google Scholar

Next up is an amazing research tool by Google called Google Scholar. Google Scholar provides a quick way to broadly search for scholarly literature from one location.

Look for articles, theses, books, abstracts, and court opinions, from professional societies, online repositories, universities, academic publishers, and other websites.

Researchers can also explore related works, citations, authors, and publications easily. Create a public author profile and see who’s citing your recent publication. Google Scholar also allows its users to keep up with recent developments in any area of research.

Key Features of Google Scholar: 

• Create a public author page
• Look for information across Google’s database
• Easy to use
• Free to use

Endnote wants you to research smarter by simplifying the tiresome work of formatting bibliographies, finding full text, and searching for references.

Endnote is collaborative in nature as it allows you to share selected groups of references, manage team access, and track activity and changes from one single dashboard.

With smarter insights, Endnote automatically finds the impact of your references and finds the best-fit journal for your papers.

The platform also enables users to automatically create, format, and update bibliographies. Quickly export your references and full-text PDFs into EndNote and start working instantly.

With a bunch of EndNote templates and plug-ins, researchers can enhance their Endnote experience and get the most out of the platform.

Key Features of Endnote: 

• Import filters for prior research
• Track your teammates’ activity on your shared library
• Automatic reference and link updating
• Paid plans start from $249

10. Evernote

Evernote is a note-taking app that can be very useful while conducting research . The app helps you store all your personal ideas, to-do listsm4, notes, and research links in one place.

Create separate tags and folders for the different types of information you are saving and keep it all organized.

Evernote auto-syncs across all your devices, including desktop, smartphone, and tablet, so you can switch between devices without losing your data.

Its Chrome browser extension called the Evernote web clipper is a great add-on for saving articles or other content on the internet while doing your research.

Just click the browser extension to save the entire page or highlights to your Evernote notebook along with any notes you have about that page.

Key Features of Evernote: 

• Keep notes, articles, and other content in one place
• Chrome extension for clipping content
• Set reminders
• Paid plans start from Plus ($34.99 per year or $3.99 per month), Premium ($69.99 per year or $7.99 per month), and Evernote Business (contact sales)

11. Mendeley

Mendeley is a reference management software that allows researchers to create references, citations, and bibliographies in multiple journal styles with just a few clicks.

Quickly access your library from anywhere – from anywhere. Windows, Mac, Linux, etc and add papers directly from your browser with a few clicks or import any documents from your desktop to your library.

With its research network, researchers connect and network with over 6 million users. Users can create groups to carry out discussions, discover research, and follow curated bibliographies.

There are also over 250,000 + science, technology, and health jobs to advance your career and grant info from over 5000 organizations to fund your next research !

Key Features of Mendeley: 

• Annotate and organize documents
• Find and create groups with fellow researchers
• Grant information from over 5000 organizations
• Paid plans start from $55/year for 5 GB to $165/year to unlimited storage

12. ContentMine

ContentMine offers a variety of text mining services to help researchers find, download, analyze, and extract knowledge from academic papers.

ContentMine builds its own open-source code to help out researchers find papers and not waste time on the internet doing so. They can also convert academic papers , PDFs to HTML, or to almost any format.

ContentMine can also extract data from tables and graphs, reducing the time taken to conduct a meta-analysis. The platform also offers consultancy as well as training workshops to educate people on the work they do and how.

Key Features of ContentMine: 

• Extract data from tables and graphs
• Quickly mine text from hundreds of papers
• Workshops and training
• Contact sales

13. ResearchGate

The last tool on our list of awesome tools for researchers is a platform called ResearchGate. ResearchGate gives you access to over 135 million publication pages, allowing you to stay up to date with what’s happening in your field.

With a built-in community, researchers can share their research, collaborate with peers, and discover new papers and bibliographies.

ResearchGate also provides deep analytics on who’s been reading your work and keeps track of your citations. With over 17 million users, ResearchGate is a research community to join!

Key Features of ResearchGate: 

• Share and find researchers
• Analytics to see who’s reading your work
• Citation tracking

Before you go!

Our team at  bit.ai  has created a few awesome templates to make your research process more efficient. Make sure to check them out before you go, y our team might need them!

• Case Study Template
• Research Paper Template
• Competitor Research Template
• Brainstorming Template
• SWOT Analysis Template
• White Paper Template

Final Words

There you have it folks, our list of amazing websites, apps, and software to use while conducting your research. Research is hard work- from finding and managing content to organizing and publishing- research takes a lot of time and effort.

However, with our awesome list of tools, researchers are surely going to get out the most of their time and effort and get work done more efficiently. Did we miss any awesome tool for researchers out there? Let us know by tweeting us at @bit_docs.

Further reads:

• Top 11 Code Editors for Software Developers
• Collaborative Research: Definition, Benefits & Tips!
• Best Resource Management Tools and Software
• How to Write a Research Proposal?

11 Best Link in Bio Tools in 2024!

Writing Vision Statement: Definition, Examples and Best Practices!

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About Bit.ai

Bit.ai is the essential next-gen workplace and document collaboration platform. that helps teams share knowledge by connecting any type of digital content. With this intuitive, cloud-based solution, anyone can work visually and collaborate in real-time while creating internal notes, team projects, knowledge bases, client-facing content, and more.

The smartest online Google Docs and Word alternative, Bit.ai is used in over 100 countries by professionals everywhere, from IT teams creating internal documentation and knowledge bases, to sales and marketing teams sharing client materials and client portals.

👉👉Click Here to Check out Bit.ai.

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Best AI Tools To Empower Your Academic Research

Are you using AI tools to enhance your academic research? That means you are taking one step forward in personalizing your learning experience. Today, AI has simplified research processes and learning, making the education process easier for students and scholars. Let’s explore some brilliant AI tools to help your research.

Thanks to all AI tools, they are helping scholars and students to gather better information today. In the time of the internet, there are many articles available, but which one to select is a challenge. As students devote countless hours to better their academic research, AI tools can simplify their work. 

So, to leverage and gain better knowledge for writing, it is essential to automate some of their tedious tasks.  

Here we will learn about the 12 best AI tools that can help you in better academic research. 

Top AI Tools to Empower Your Academic Research

These AI tools will not only help you gather information but will also help you leverage your knowledge of your subjects. 

Let us take a deep dive into the topic.

1. Google Scholar

To get better information on academic research, students and scholars can consider Google Scholar in their topmost favorite list. Through this tool, you can easily stay up-to-date on the latest research papers, scholarly literature, articles, conference papers, and theses. It also allows scholars to find relevant publications and citations easily. 

Most importantly, its simple user-friendly interface makes it a valuable resource and a great tool to use.

Scite is one of the most popular AI-powered academic research tools that improve any academic research in one go. Its own natural language processing and machine learning helps users do better research on scholarly articles and analyze citations. 

Moreover, Scite allows researchers like you to assess the dependability in any particular context of references. It helps in evaluating the quality and impact of the research. It also provides better visualizations and metrics to understand the citation landscape of a particular paper or a topic. If you have missed out on using this tool, try it out today. 

It is one of the most commonly used AI tools for scholars and students, as it helps with grammar and language correction for academic and technical writing. It has 3000+ grammar checks, tone, and style enhancements, which help scholars write better theses and projects without any errors. 

Trinka helps you document scientific findings and allows you to have a more technical tone and style without any difficulty. Therefore, for academic research purposes, Trinka is the most promising tool, as it helps document research papers and white papers in a better way. 

You can consider Elicit as one of the easiest go-to AI tools in the market to process your knowledge. With the help of this tool, you can design and conduct qualitative research. From analyzing the textual data to specifying the key themes, sentiments, and patterns, a researcher can use this tool to automate. 

Also, Elicit can be used to deduce summaries and visualizations for effective data interpretation. For any researcher, Elicit is a gold mine as it helps them gain deeper insights and make informed decisions.

5. Scholarcy

Scholarly is an AI tool that improves academic research by automating the process of reading, summarizing, and extracting information. It can help you recognize figures, tables, and references from the articles and help grasp the main concepts. 

Additionally, this tool has citation extraction features that allow the users to organize and cite the sources used in the research. It also provides the literature review process which enables you to save valuable time and effort. 

Using artificial intelligence and machine learning algorithms, Knewton allows users to deliver personalized educational content. You can tailor the tool for the educational content as per individual needs and learning styles. This is a one-stop and easy pickup tool in the academic learning phase. 

Knewton also allows users to analyze student performance data, strengths, weaknesses, and progress. By leveraging the benefits of AI, Knewton seeks to improve engagement making it one of the best online learning platforms.

7. IBM Watson

IBM Watson has various AI-powered tools for academic research. This tool has its own Watson Discovery and Watson Natural Language Understanding features. Features like data extraction, sentiment analysis, and language processing are in-build into this tool that smoothens the research process. In this way, this tool can help you discover insights from unstructured data.

Tableau is a powerful tool that helps users to analyze data. With its drag-and-drop interface, Tableau helps users easily explore, understand, and identify data, trends, patterns, and outliers. It supports everything from basic charts and graphs to advanced maps, treemaps, and heat maps. 

It is a popular choice for data analysts, businesses, and researchers across industries for its user-friendly interface and robust data visualization capabilities.

9. Semantic Scholar

Semantic Scholar is an AI academic search engine that focuses only on relevant research papers. It is used in computer science, neuroscience, and the biomedical sciences. Also, its natural language processing and machine learning techniques help to analyze the content. 

This tool can help researchers find and navigate relevant literature, visualize citations, and track scholarly articles. It’s advanced search capabilities and citation analysis are some of the most recommended features to use. With its AI-driven approach, you can efficiently create and deliver high-quality scientific literature.

10. Consensus

Consensus is one of the best AI tools if you are looking for genuine scientific findings. Using this AI tool , you can’t go wrong with any research information, as they source the information for you only from published sources. That makes the process very reliable and uncomplicated to understand the subject and document it effectively. 

Also, this AI tool scans each topic thoroughly (through peer-reviewed research) so that it can provide you with a genuine and well-researched article that will reduce your stress. If you haven’t tried it, then you must try it today. 

11. Mendeley

Mendeley is a user-friendly AI tool to organize, share, and cite your research papers properly in one place. It helps you organize your PDFs, create better bibliographies, and annotate documents easily. 

Moreover, this tool enables researchers to collaborate on projects and discover relevant articles based on their interests. Mendeley’s powerful features and integration into academic workflows make it a practical tool. It helps you to streamline your management and enhance collaboration within the scholarly community.

Zotero is an AI-powered management tool and your personal research assistant. It is specially designed to help researchers and scholars collect, organize, annotate, cite, and share research documents. This tool can help you customize all your collections and automatically extract metadata from sources. 

Zotero has 10,000 citation styles for you to format your work and match your style to a publication. Moreover, it takes help from references and bibliographies to edit text and give you genuine information in your Google Doc or Word document. 

In the world of creativity, use AI tools or develop AI apps that will ultimately enhance your learning instead of thinking of them as a threat. Today, AI is the game-changer in every field, as it takes no time to deliver you bundles of information. So, as an academic researcher or scholar, use them to speed up your work and unburden yourself from unnecessary stress. So, you can upskill your knowledge to produce better theses or assignments. 

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9 Survey Tools for Academic Research in 2024

• Important Features

Survey Panels

• Additional Tools

1. SurveyKing

2. alchemer, 3. surveymonkey, 4. qualtrics, 5. questionpro, 6. sawtooth, 7. conjointly, 8. typeform, 9. google forms.

• Employee Feedback
• Creating the Survey
• Identity Protection
• Research Tools

Need a research survey tool? Features include MaxDiff, conjoint, and more!

These nine survey tools are perfect for academic research because they offer unique question types, solid reporting options, and support staff to help make your project a success. This article includes a detailed review of each of these nine survey tools. In addition to these survey tools, we include information about other research tools and survey panels.

Below is a quick summary of these nine survey tools. We list the lowest price to upgrade, which usually has the featured s needed for research projects. We also include a summary of the unique features of each tool. Most survey software has a monthly subscription; we denote when a tool requires annual pricing is required.

Important Features of Research Survey Software

Academic research surveys often require advanced question types to capture the necessary data. Many of the tools we mention in this article include these questions. However, some projects also require specialized features or the ability to purchase a panel. To help guide your decision in choosing the best piece of software for your project, we’ll summarize some of the most critical aspects.

Research Questions

Standard multiple-choice questions can only get you so far. Here are some question types you should be aware of:

• MaxDiff – measure the relative importance of an attribute. It goes beyond a standard ranking or rating by forcing respondents to pick the least and most valued items from a list. Rankings and other types only can you what is liked, not what is disliked. A statistical model will give you the probability of a user selecting an item as the most important. Latent class analysis can help you identify groups of respondents who value different attributes.
• Conjoint – Similar to MaxDiff in terms of finding importance, respondents evaluate a complete product (multiple attributes combined). This simulates real word purchasing decisions. A statistical model is also used to compute the importance of each item.
• Van Westendorp – Asks respondents to evaluate four price points. This shapes price curves and gives you a range of acceptable prices.
• Gabor Granger – Asks users whether or not they would purchase an item at specific price points. Price points are shown in random order to simulate real-world buying conditions. The results include a demand curve, giving you the revenue-maximizing price.
• Likert Scale – Measure attitudes and opinions related to a topic. It’s essential to use a mobile-ready Likert scale tool to increase response rates; many tools use a matrix for Likert scales, which could be more user-friendly.
• Semantic differential scale – a multirow rating scale that contains grammatically opposite adjectives at each end. It is used similarly to a Likert scale but is much easier for respondents to evaluate.
• Image heat map – Respondents click on places they like on an image. The results include a heat map showing the density of clicks. This is useful for product packaging.
• Net Promoter Score – Respondents choose a rating from 0-10. Many companies use this industry-standard question to benchmark their brand perception. This question type is necessary if your academic project measures brand reputation.

Anonymous Survey Links

Many academic surveys can deal with sensitive subjects or target sensitive groups. For this reason, assuring anonymity for respondents is crucial. Choosing a platform with an anonymous link is essential to increase trust with respondents and increase your response rates.

Data Segmentation

Comparing two groups within your survey data is essential for many research projects. This is called cross tabulation . For example, consider a survey where you ask for gender along with product satisfaction. You may notice that males are not satisfied with the product while females are.

You can take this further and compute the statistical significance between the groups. In other words, make the differences that exist between two data sets due to random chance or not. Your comparison is statistically significant if it’s not due to random chance.

Some lower-end survey tools may not offer any segmentation features. If this is the case, you need to download your survey data into a spreadsheet and create pivots of set-up custom formulas.

Skip Logic and Piping

If your academic project has questions that only a specific subset of respondents need to answer, then some logic will help streamline your survey.

Skip logic will take you to a new page based on answers to previous questions. Display logic will show a question to a user based on previous questions; perfect for follow-up.

Answer piping will allow you to carry forward answers from one question into another. So, for example, ask someone which brand names they have heard of, then pipe those answers into a ranking question.

Data Cleaning

Making sure your responses are high quality is a big part of any survey research project. For example, if people speed through the survey or mark all the first answers for questions, those would be low-quality responses and should be removed from your data set. Some tools highlight these low-quality responses, which can be a helpful feature.

For platforms that do not offer a data cleaning feature, it’s generally possible to export the data to Excel, create formulas for time spent, answer straight-lining, then remove the needed data. You can also include a  trap question  to help filter out low-quality responses.

Great Support

Many academic projects require statistical analysis or additional options for the survey. Using a tool with a support staff that can explain a statistical model’s intricacies, help build custom models, or adds features on request will ensure your project is a success. With SurveyKing, custom-built features are billed at $50 per hour, making custom projects feasible for small budgets.

Asking classmates to take your survey, posting it on social media, or distributing QR code surveys around campus is a great way to collect responses for your project. But if you need more responses with those methods, purchasing additional answers might be required.

A panel provider will enable you to target a specific demographic, job role, or hobby type. When setting up a survey with a penal provider, you always want to include screening questions (on the first page) to ensure they meet your criteria, as panel filters may not be 100% accurate. Generally, panel responses start around $2.50 per completed response.  Cint  is one of the largest panel providers and works well with any survey platform.

Additional Research Tools

Before deep diving into the survey software list, here are some additional tools and resources that might assist in your project. These can help shape your survey by conducting preliminary research or using it as a substitute if conducting a study is not feasible.

• Hotjar  – They offer simple surveys and many tools to help capture feedback and data points from a website. A feedback widget customized for websites in addition to a heat map tool to show where users click the most or to identify rage clicks. A tool like this could be helpful if your academic projects revolve around launching or optimizing a website.
• Think with Google  – Used to help marketers understand their audience. The site contains links to Google Trends to search for the popularity of key terms over time. They also have a tool that helps you identify your audience based on popular YouTube channels. Finally, they have a “Grow My Store Tool” that recommends tips for improving an online store.
• Google Scholar  – A specific search engine used for scholarly literature. This can help locate research papers related to the survey you are creating.
• MIT Theses  – Contains over 58,000 theses and dissertations from all MIT departments. The database is organized by department and lets you search for keywords.

SurveyKing is the best tool for academic research surveys because of a wide variety of question types like MaxDiff, excellent reporting features, a solid support staff, and a low cost of $19 per month.

The survey builder is straightforward to use. Question types include MaxDiff, conjoint, Gabor Granger, Van Westendorp, a mobile optimized Likert scale, and semantic differential.

The MaxDiff question also includes anchored MaxDiff and collecting open-ended feedback for the feature most valued by a respondent. In addition, cluster analysis is available to help similar group data together; some respondents might value specific attributes, while other groups value others.

The reporting section is also a standout feature. It is easy to create filters and segment reports. In addition, the Excel export is well formatted easily for question types like ranking and Likert Scale, making it easy to upload into SPSS. The reporting section also gives the probability for MaxDiff, one of the few tools to offer that.

The anonymous link on SurveyKing is a valuable feature. A snippet at the top of each anonymous survey is where users can click to understand whether their identities are protected.

The software also offers a Net Promoter Score module which can come in handy for projects that deep dive into brand reputation.

Some downsides to SurveyKing include no answer piping, no image heat maps, no continuous sum question, and no premade data cleaning feature.

As a platform with lots of advanced question types and a reasonable cost, Alchemer is an excellent tool for academic research. Question types include MaxDiff, conjoint, semantic differential, image heat map, text highlighter, continuous sum, cascading dropdowns, rankings, and card grouping.

Reporting on Alchemer is a standout feature. Not only can you create filters and segment reports, but you can also create those filters and segments using advanced criteria. So if you ask a question about gender and hobby, you can make advanced criteria that match a specific gender and hobby.

In addition, their reporting section also can do chi-square tests to calculate the significant difference between the two groups. Finally, they also have a section where you can create and run your R scripts. This can be useful for various academic research projects as you can create custom statistical models in the software without needing to export your data.

Alchemer is less user-friendly than some other tools. The platform is a little clunky; things like MaxDiff require respondents to hit the submit button to get to the next set. Radio buttons need respondents to click inside of them instead of the area around them.

The pricing is reasonable for a student; $249 a month for access to the research questions. However, if you can organize your project quickly, you may only need one month of access.

As the most recognized brand for online surveys, SurveyMonkey is a reliable option for academic research. While the platform does not have any research questions, it offers all the standard question types and a clean user interface to build your surveys.

One advanced question type they do have is the image heat map. Their parent company  Momentive  does offer things like MaxDiff and conjoint studies, but you would need to contact sales to get a quote, meaning this could be out of budget for students.

The reporting on SurveyMonkey is good. You can easily create filters and segments. You can also save that criterion to create a view. The views enable you to toggle between rules quickly.

One of the main downsides to SurveyMonkey is the cost. For the image heat map and to create advanced branching rules, you need to upgrade to their Premier plan, which costs $1,428 annually. To get statistical significance, you would need their Primer plan, which is $468 annually.

As the survey tool known for experience management, Qualtrics has some nice features for research projects. For example, they offer both MaxDiff and conjoint in addition to tools like drill-down, continuous sun, image heat map, and a text highlighter.

Reporting on the tool offers the ability to create filters and segments. For segments, it’s called a report breakout, and it appears there is no ability to create a breakout with advanced criteria. However, filers do allow you for advanced criteria.

There is a custom report builder option to create custom PDF reports. You can add as many elements as needed and customize the information displayed, whether a chart type or a data table.

Overall, Qualtrics could be more user-friendly and may require training. The survey builder and reporting screens could be more cohesive. For example, to add more answer options, you need to click the “plus” symbol on the left-hand side of the question instead of just hitting enter or clicking a button right below the current answer choice. In addition, the reporting section will display things like mean and standard deviation for simple multiple-choice questions before showing simple response counts.

One drawback to Qualtrics is the pricing. For example, you would need to pay $1,440 for an annual plan to use the research questions. But many universities have a licensing agreement with Qualtrics so students can use the platform. When you sign up for a new account, you can select academic use, enter your Edu email, and they will check if your university has a license agreement.

A survey platform with all the needed research questions, including Gabor Granger and Van Westendorp, QuestionPro is a quality research tool.

The reporting on QuestionPro is comprehensive. They offer segment reports with statistical significance using a t-test. In addition, they offer TURF analysis to show answer combinations with the highest reach.

For conjoint, offer a market simulation tool that can forecast new product market share based on your data. That tool can also calculate how much  premium  consumers will pay for a brand name.

QuestionPro is a little easier to use than Qualtrics. The UI is cleaner but still clumsy. You must navigate to a different section in the builder for things like quotas instead of just having it near skip logic rules. The distribution page has the link at the top but an email body below. The reporting has a lot of different pages to click through for each option. Small things like this mean there is a learning curve to use the platform efficiently.

The biggest downside of QuestionPro is the price. All of their research questions, even Net Promoter Score, would require a custom quote under the research plan. There another plan with upgraded feature types is $1,188 annually.

When it comes to advanced research projects, Sawtooth is a great resource. While their survey builder is a little limited in question types, they offer different forms of MaxDiff and conjoint. They also provide consulting services, which could help if your academic project is highly specialized.

For MaxDiff, they offer a bandit  version, which can be used for MaxDiff studies with over 50 attributes. Each set of detailed attributes that are most relevant to the user. This can save panel costs because you can build a suitable statistical model with 300 bandit responses compared with 500 or 1000 standard MaxDiff responses.

Their MaxDiff feature also comes with a TURF analysis option that can show you the possible market research of various attributes.

For conjoint, they offer adaptive choice-based conjoint and menu-based conjoint. Adaptive choice tailors the product cards toward each respondent based on early responses or screening questions. Menu-based conjoint is for more complex projects, allowing respondents to build their products based on various attributes and prices.

Sawtooth has a high price point and may be out of the research for many academic projects. The lowest plan is $4,500 annually. If you need advanced tools like bandit MaxDiff or adaptive conjoint, you must pay $11,990 annually. They do have a package just for MaxDiff starting at $2,420.

Conjointly is a platform geared towards research projects, namely market research. Not only do they have the standard research questions, but they also have a bunch of unique ones: claims testing, Kano Model testing, and monadic testing. There are also question types like feature placement matrix, which combines MaxDiff and Gabor Granger into a single question.

You can either use your respondents or select from a survey panel. The survey panel option comes with predefined audiences, which makes scouring respondents a breeze.

One unique feature is that they monitor in real-time speeders and other criteria for low-quality respondents. If a respondent is speeding through the survey, a warning message is displayed asking them to repeat questions before being disqualified. If a question has a lot of information to digest, the system automatically pauses, forcing the respondent to thoroughly read the question before answering.

The pricing is a little steep at $1,795 annually. Response panels for USA residents appear to start around $4 per completed response. The survey builder and reporting section could be cleaner, with different options in many places. It may take time to get up to speed.

While Typeform doesn’t have any research questions, it is a very well-designed and easy-to-use tool that can assist with your academic survey. For example, it could gather preliminary data for a MaxDiff study.

Typeform offers a lot of integrations with other applications. For example, if your project requires exporting data to a spreadsheet, then Google Sheets or Excel integration might be helpful. Likewise, if your research project is part of a class project, then the Slack or Microsoft Teams integration might help to notify other team members when you get responses.

One unique feature of Typeform is the calculator feature. Add, subtract, and multiply numbers to the @score or @price variable. These variables can be recalled to show scores or used in a payment form.

The reporting in Typeform is basic. There is no option to create a filter or a segment report. Any data analysis would need to be done in Google Sheets or Excel.

For $29 a month, you can get 100 responses, or $59 a month, you can collect 1,000 responses each month.

One of the widely used survey tools, Google Forms , is a decent platform for an academic research survey. Unfortunately, the software doesn’t offer any research questions. Still, the few questions it has, like multiple choice, rantings, and open-ended feedback, are enough to collect essential feedback for simple projects or preliminary data for more complex studies.

Skip logic is straightforward to set up on Google Forms. For example, you can select what section to skip based on question answers or choose what to skip once a section is complete. Of course, you can’t create complex rules, but these simple rules can cover many bases.

Overall the user interface is elegant and straightforward. The form design is also elegant, meaning the respondent experience is excellent. Unlike other survey tools, which can have a clunky interface, there is no worry about that with Google Forms; respondents can quickly navigate your form and submit answers.

The spreadsheet export is very well formatted and can be easily imported into SPSS for advanced analysis. However, the export has the submission date and time but has yet to have the time started, so calculating speeders is impossible.

ABOUT THE AUTOR

Allen is the founder of SurveyKing. A former CPA and government auditor, he understands how important quality data is in decision making. He continues to help SurveyKing accomplish their main goal: providing organizations around the world with low-cost high-quality feedback tools.

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12 Best Tools for Researchers in 2024

Every project needs to conduct research. It’s the best way to avoid making expensive mistakes and create a product that the target audience will love. There are many helpful research tools out there that you can use to make your research easier. That is why we have brought you the best tools for researchers to conduct research and surveys. Let’s explore them below.

What is the need for research tools for researchers?

Every researcher focuses on managing multiple tasks, getting good results, and using time well, no matter what research they do. All of these require a well-planned and organized system. To do this, every researcher needs research tools. The best tools for researchers make this job easier.

Market research tools help researchers write their project proposals, reports, academic papers, and articles by helping them avoid language mistakes, cite sources, build networks, and search for journals to publish.

12 Best tools for researchers in research and survey

So, let’s get right into it! We have made a list of the 12 best tools that every researcher should try. We will discuss their most important features and prices so you can compare them and choose what works best for you.

01. QuestionPro InsightHub

QuestionPro InsightHub is one of the best research tools and the most powerful tool for sharing, showcasing, and analyzing your insights data.

It is a built-for-insights platform that helps insights teams organize, be more agile, and conduct market research. InsightsHub is a place to store and search all of your insights data, research methods, and project lifecycles.

It lets you create a project and then links a survey to that project. When the research is done, put the most important findings and nuggets inside each project. It makes them easy to find later and links them to other projects.

Best features:

• Strong integrations with your present research ecosystem and technology.
• Multilingual support for 50+ languages and double-byte character sets.
• Real-time reporting dashboard
• Unified platform to organize, explore, research, and discover research data in one repository.
• Democratized insights

Premium pricing starts at $99 monthly.

02. QuestionPro Research Suite

QuestionPro Research Suite is a set of research and analysis tools for researching and changing experiences. It is the best set of enterprise-level research tools in the industry that can help you find insights for your brand.

You can solve your research problems with surveys that are easy to make and give you complex, real-time information. So, It can be the perfect research tool for researchers.

• Monitor consumer behavior across categories and remain ahead of the curve With Market segmentation.
• Allow you to experience the impact of change by A/B testing across questions, segments, and ideas.
• It allows you to do academic research, capturing qualitative and quantitative insights.
• Analyze your pricing research data to determine market factors, including competition intelligence, purchase behavior, and pricing sensitivity.

QuestionPro premium pricing plan begins at $99 per month.

03. SurveySparrow

The SurveySparrow Survey Tool is an automated survey tool that is easy to use and was made by a group of researchers and app developers. Because it is easy to use, powerful, and flexible, the SurveySparrow survey tool benefits academic users and scientific researchers.

• SurveySparrow template library to create polls or an online survey.
• Survey customization
• Survey data can be exported to Excel, PDF, and JSON.

Premium plans begin at $19 monthly.

04. Qualtrics

Qualtrics is another great survey software option and one of the best tools for researchers. It can handle everything from simple questionnaires to complex research surveys.

Qualtrics is a great choice for survey solutions that are tailored to customers, employees, and brands. Its drag-and-drop survey builder lets you make survey forms that are very flexible and easy to use.

• Drag and drop functionality for easy-to-use
• Net Promoter Score (NPS)
• Real-time dashboard

Premium plans start at $1500 yearly.

Simple text editors from the past need to be better. For our dynamic, interactive, and media-rich research, we need a tool that combines all aspects of modern research under one roof. And this is where Bit.ai comes in.

Bit lets researchers and teams work together, share, track, and manage all their knowledge and research in one place. It is the perfect market research tool for sharing multi-dimensional research with your peers, not just plain, boring text and slides.

• Easy-to-use interface
• Use the content library to save media files for convenient access.
• Organized workspaces

Paid plans start from Pro at $8.00 monthly.

06. Elink.io

Researchers can easily save content from around the web with Elink.io. They can save links to articles, videos, cloud files, social media posts, and much more. If you are looking for the best online tools for researchers, Elink.io is for you.

Researchers can change the title and description to add their own voices or notes. They can even group links together and send them to others as a newsletter or put them on your blog or website.

• Chrome extension to save links quickly.
• Make and distribute a newsletter within minutes.

Premium plans start at $ 15.00 monthly.

07. GanttPRO

The GanttPRO project and task management tool makes it easy for single researchers and groups of any size to plan their tasks on a visually appealing Gantt chart timeline, track their progress, and meet all their deadlines.

GanttPRO lets researchers add as many tasks, task groups, and subtasks as they want to one timeline.

• Several dozen templates.
• Easy collaboration with colleagues.

Premium plans start from $4.5.00 per user monthly.

08. Grammarly

Grammarly is one of the best tools for researchers. Fixing grammar, sentence structure, and silly spelling mistakes can take hours. With Grammarly’s brilliant editor, all these mistakes are automatically fixed.

Aside from fixing basic spelling and grammar mistakes, Grammarly has a punctuation checker, a tool to improve your vocabulary and find plagiarism. So, after the entire research process, all of your work can be done under one roof.

Best features: 

• Accessible via Word, Slack, etc.
• Grammarly’s Chrome extension provides real-time grammar checks online.
• Allow you to detect document tone and dependability.
• Allows custom goals to be set.

Premium plans start from $11.66.00 monthly.

09. Typeset.io

Typeset.io claims to be a more innovative alternative to Word and Latex that all researchers should use. You can start your research with a simple interface or by importing your Word files.

• Over 100,000 journal formats
• Editing services to improve your publication chances
• Built-in collaboration tools allow other researchers to have a platform to work with.

Premium plans start from $8.00 monthly for researchers.

10. Endnote

Endnote can be considered one of the best tools for researchers in their research process. Endnote helps you to do smarter research by making it easier to format bibliographies, find full texts, and find references.

An endnote is a collaborative tool because it lets you share selected groups of references, manage team access, and keep track of activity and changes from a single dashboard.

• Variety of templates and plug-ins.
• Automatic reference management software

Paid plans start from $249.00

11. Mendeley

Mendeley is software for managing references. Researchers can create references and citations in various journal styles with just a few clicks. Researchers can connect and network with more than 6 million users through its research network.

• Annotate and organize documents

Premium plans start from $55.00 yearly.

12. ResearchGate

ResearchGate gives you access to more than 135 million pages of publications. It lets you know what’s going on in your field. Researchers can share their work, work together with other researchers, and find new research papers and bibliographies through a built-in community. It can be one of the best tools for researchers.

• Citation tracking
• Analytics to see who reads your work
• Discover new ideas

It is free to use.

There are a lot of best tools for researchers. If you are a researcher and want the best tools that fit your needs, you should take the time to figure out what features you need.

We hope this post has helped you determine which research tools are best for you. Every survey tool on the list has both common and unique features. In this situation, it’s important to know what your options are and what features and pricing they provide.

QuestionPro InsightHub and QuestionPro Research Suite are the best tools for researchers to do surveys. It lets professors, students, employees, and customers make and take as many surveys as they want for academic or administrative purposes related to the institution.

This tool allows you to build web forms, do offline research projects, collect and evaluate data, and do much more. Try QuestionPro right now!

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Frequently Asking Questions

A good research tool has three main qualities. Validity, dependability, and usability are examples of these. A researcher should examine data collection tools in terms of these criteria while choosing them.

Case studies, checklists, interviews, observations, and surveys or questionnaires are all data collection tools. It is critical to select data-gathering tools since research is conducted in various ways and for various goals.

Many factors can undermine a study’s internal validity, including errors in measurement or participant selection, and researchers should consider and avoid these flaws.

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10 research tools every PhD student needs

A PhD is the penultimate academic degree. With their research that looks into solving critical world issues, PhD graduates help everyone understand the world around them better; hence the important role of research tools that help them achieve this.

A PhD requires candidates to collect and gather data for their dissertation so they can make an informed analysis of whether their hypothesis is supported, as well as deduce future probabilities and trends. This is often a time-consuming process – one has to search from the library and internet for literature, conducting experiments, writing and publishing papers, on top of the tedious task of formatting these sources .

Since a dissertation can be upwards of 60,000 words, how then to efficiently collect and compile everything? Now that the world has become increasingly advanced in terms of technology, it makes sense to know how to use the many available online tools to help with the research process. 

The right tools can help save time, effort and energy, helping you produce more accessible and visually presentable as well. You can even enjoy a better work-life balance since these tools will ease the long-drawn research.

These research tools can help free up precious time to concentrate on your PhD dissertation-writing. Source: Marc Wattrelot/AFP

Helena Hartmann – currently obtaining her PhD at the Social, Cognitive and Affective Neuroscience Unit in Vienna, Austria – has compiled a useful list of research tools for PhD students. Many have found the list infinitely helpful (“superb,” “made my day”) and that is why these 10 top research tools that every PhD student needs are highlighted here in no particular order.

Research Tool 1: Journal Rater 

Have you ever struggled to choose a journal to send your research paper because when you are not sure which journal has good or bad reviews? The Journal Rater by @PhDVoice does that tiring guess-work for you.

This easily accessible database has ratings about the quality of the reviewers, the speed of the peer-review and publishing process and whether you should submit to a particular journal, among others. You can even include your comments and experiences, and choose to be anonymous as well; the best part is you know exactly which journals are great to submit.

Research Tool 2: Connected Papers

When you are doing a literature review and want to find connections between published papers, Connected Papers by @ConnectedPapers can help you do that. By entering a typical paper there, they will show a visual graph of similar papers in your field.

The more you explore, the more likely you can see trends, popular works and dynamics in your field. With more new papers published every day, Connected Papers helps you keep abreast of these important papers; you can also access their Prior Works to search for ancestor works in your field and Derivative Works for literature reviews of your field.

Research Tool 3: Citation Diversity Statement

Citation bias means having a tendency for a research investigation that shows benefit to be quoted more than those neutral or negative ones. Another definition is a scientist tending to cite research articles published in their preferred journals more frequently.

Checking and clearly indicating the proportion of male and female first and last-name authors can be a tiring. Using this citation diversity statement by Zurn et al is a helpful tool to reduce citation bias; you can easily append this simple and effective statement to your paper as well.

Research Tool 4: CRediT

CRediT (Contributor Roles Taxonomy) aims to recognise individual author contributions while reducing authorship disputes and enhancing collaboration. Through CRediT, authors can accurately show and describe their varied contributions to the published work.

Here’s how it works: the corresponding author should confirm the descriptions are accurate and that all the authors have agreed on this; the various roles are listed according to the categories. The CRediT statement should be given at the time of submission – this will then appear above the acknowledgement section of the published paper.

Research Tool 5: Unpaywall – OpenAccess

Unpaywall is an open database of 30,887,744 free scholarly articles from over 50,000 publishers and repositories. That means you can easily find, track and use this Open Access content; it is completely legal.

Unpaywall uses the DOI function to search for articles published in peer-reviewed journals; in fact Unpaywall has already been integrated into many worldwide library systems, search platforms and other information products. To use Unpaywall, go to any closed access article, click on the green button and you can get an Open Access version.

Research Tool 6: Create your own website

Any academic wanting their research and publications to be easily found should consider making a website. Hartmann found Dan Quintana’s Twitter thread tutorial on making websites easy and invaluable – see Hartmann’s website here.

In one hour, Quintana will show you how to make a website for free. All you need is a @github and @netlify account, and the downloaded @code – and your website with all your research and publications will be up and running in no time.

Research Tool 7: Excel Journal Database

If you want to have an easy compilation of your literature review sources, Stephen McQuilliam ’s Excel Journal Database Webinar can help you in this aspect . In this Youtube video, McQuilliam explains step by step how to build an Excel database to organise your notes and bring them together for your writing.

Research Tool 8: APA Word Template

For researchers, having to format their papers in APA can be an arduous process. Fortunately, Nicolás F. Narvaez Linares’ tip may make many researchers sigh with relief.

In Microsoft Word, just type APA in the New Document Tab, and the APA template automatically pops up. A word of caution: this template uses the 6th edition of the APA so you may have to make some changes since the APA has now released its 7th edition.

Research Tool 9: Notion

If you have many applications and want to keep them all in one place, Hartmann considers Notion as the best one. Basically Notion acts as an all-in-one workspace – you can keep your notes, tasks, wikis and databases there in Notion.

Research Tool 10: Canva  

Finally, this design website is excellent if you have to prepare slides and figures for your presentations. The free, professional and nice designs can make your presentations more visually appealing.

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Top 10 AI Tools For Academics: Level Up Your Research

If you aren’t using AI to augment your academic research in 2023, you are wasting a lot of time – time that you could free up from grunt work and invest in the more interesting stuff. 

AI tools have proliferated since the launch of GPT 3 and beyond. The sudden and simultaneous rise of so many consumable AI-powered tools has quickly muddied the waters and made it tiresome if not impossible to get your hands on the right set of AI tools for researchers. 

Fear not! I have hand-picked (I’ve had help, a lot of it, to be honest) 10 of the best AI tools for researchers. Go through the list, combine multiple tools, and create a customized stack of AI tools to help with your research process.

Top 10 AI tools for researchers

We’ll discuss tools powered by artificial intelligence that can augment your research work, save you a lot of time through the automation of certain tasks, and help you brainstorm new ideas avoid plagiarism, and streamline the research process. 

1. PDFgear Copilot

This PDF editor with a humble-looking website doesn’t even market itself properly as a top-class AI tool for researchers. It just is. PDFgear offers you some very simple functionalities that are going to save you a lot of time in different stages of your research activities.

It will let you upload PDF files and give you a summary of what’s inside the PDF . If you think it has missed something, ask. And it will find you the specific piece of information you were worried about. You can even ask PDFgear to compress a file, delete some pages, and perform other small-time edits via chat. 

Now, let’s say you have created a paper and you want to check it for errors before submitting it. Run it through PDFgear. The AI copilot will catch your typos and spelling errors and save you from embarrassment. 

PDFgear is free. It doesn’t matter if you want to summarize one file or 500 files. It’s free and instantaneous. 

The only downside is that this tool is available for download only on Windows 10/11. Nonetheless, the website says the MacOS version will arrive soon.        

2. Consensus

Consensus is useful for everyone and invaluable for researchers. It is an AI-powered search engine that takes questions in natural language and finds evidence-based answers from peer-reviewed research papers . Let that sink in.

While Google invests a lot in understanding the intent behind a search and providing the best answer, as a researcher you know how frustrating Google searches can be. You have to wade through an ocean of unverified content to reach evidence-based answers unless you are a master of keyword matching.

• Consensus helps you access information spread across 200 million peer-reviewed papers.
• They’ll cite the sources while answering your questions.
• Every answer is evidence-based
• The tool offers instant summaries and analyses with the help of GPT 4 and other powerful LLM

When it comes to using AI to augment research work, this is the real deal. You can use Consensus for research without paying a dime. The free edition will even let you create 3 summaries a month. For a price of $7.99 per month, you can generate unlimited summaries powered by GPT4. 

Scite, just like Consensus and PDFgear, has a very simple but elegant offering for researchers, students, and scholars. It tells you where an article has been cited and whether the citing article affirms or disputes the citation. So, as a researcher and a smart individual, you already know why this is incredible. I’ll talk about it a little anyway.

Scite helps you find how older research publications have been cited by newer research work through a feature called Smart Citation. This feature allows you to visualize a network of citations stemming from a single piece of work. It identifies the context of the citation and also classifies the citations as affirmative or negative. 

You can take a glance at the visualization and instantly prioritize the publications that you want to go through . Scite is a real stress buster that can also open your eyes to new research angles. 

These really are exciting times for researchers.

4. SciSpace  

SciSpace is an AI-based tool that simplifies difficult concepts for you. So, if you are in a hurry and need to extract the gist of a sizable scientific paper , drop it at SciSpace and let the Copilot create a summary for you. 

What if you have read an entire paper and cannot make sense of a specific section? Upload the file at SciSpace and highlight the section you need help with. The tool will break it down into digestible chunks and even take follow-up questions from you.

SciSpace also helps you with your literature reviews by finding related articles. 

5. Wordvice AI

Wordvice AI is a well-rounded AI-powered writing assistant. It proofreads your work and checks your articles for spelling, punctuation, and style error. It helps you maintain a flow of writing by analyzing sentence structures and offering sentence-level suggestions.

It will help you choose better words and create better sentences, all while ensuring the correctness of spelling, grammar, and style.  

Wordvice has solid use cases in academic research as well as in the corporate sector. It will help marketers write better copy and sales executives compose better emails. 

If you look closely, most of the AI tools for research can actually be repurposed for other functionalities. Similarly, AI apps meant for business can be repurposed for research. 

6. ChatGPT   

ChatGPT is the OG generative AI chatbot. It took the world by storm and reached 1 million users in 5 days. It represents everything that’s cool about chatbots. But can you use it reliably for research? 

The answer is no. ChatGPT is not considered a credible source for conducting research in any field. It comes up with false citations, offers misinformation, and isn’t up-to-date. 

Then why is ChatGPT included in this list?

For two reasons: 

• It is excellent at taking scattered information and forming comprehensive summaries.
• Its capability to adapt to a certain style of writing is almost magical.

So, as a smart individual what you can do is, get the information from credible sources, tie them up neatly with multiple prompts, and use ChatGPT to transform information into literature.

Also read: ChatGPT Wrappers: Compared [Use ChatGPT for Almost Free]

7. Research Rabbit

They call it “Spotify for Papers” and there is good reason behind it. ResearchRabbit allows you to create a collection of papers much like a Spotify playlist. Then, based on what you add to your collection and how you interact with papers, the platform creates recommendations. How neat is that? It’s like the AI-powered tool is reading your mind to help you read better. 

Paper recommendations aside, ResearchRabbit also creates visualizations featuring your favorite articles showing how they’re cited. It gives you jumping-off points to delve deeper into an idea or to explore a different research angle.   

You cannot call Research Rabbit a research assistant in its traditional sense. It is more like a friend that nudges you to try something new – relevant papers in this case. 

Here is another tool that’s never been marketed as an AI tool for researchers. In fact, Bit.ai is a fully-fledged document-sharing tool designed to cater to corporate needs. Nevertheless, it has certain features that researchers who like to collaborate can leverage.

This tool allows you to integrate a vast range of media items with your document . You can add infographics, create polls, and insert charts, and surveys. When you embed a link, Bit creates interactive visual cards visible to everyone sharing a document.

You can save all kinds of digital assets on the platform so that you do not have to search for content from different sources.

Now, imagine a scenario where you are part of a team of researchers who are collaborating on a few papers. You can organize and orchestrate the entire collaborative process with the help of Bit.ai. 

Zotero is a well-rounded AI research assistant. It helps researchers search better, organize better, and write better. Zotero analyzes your browsing patterns and senses when you are doing research. It then helps you find, sort, and save specific articles.

As you write the AI model recognizes the sources you are referencing and cites them for you following any of the 10000 citing procedures that it supports.

It creates a bibliography of all the resources used in your research paper. It synchronizes your data across devices to ensure access from anywhere at any time.

10. Semantic Scholar

A search engine that helps you search from a database of 213 million scientific papers for free. It is somewhat similar to Consensus except for the fact that it is completely free. The platform is developed by Allen Institute for AI and it aims to make scientific literature accessible to all scholars .

As a researcher,

You can use Semantic Scholar to stay up-to-date with the latest scientific breakthroughs  

Extract meaning and identify connections within papers 

Find the highly influential citations at a glance 

Create an online library to organize all your material

Get paper recommendations

AI tools for researchers that didn’t make the list

 An AI research assistant that helps you find papers, extract meaning, and summarize articles.

A sentence structure checker and proofreader designed with scholastic compositions in mind.

Users can use this tool to converse with PDFs. They can get summaries, ask questions, and find insights into PDF files by uploading them.

iThenticate

A plagiarism-checker designed specifically for research works and scholastic literature.

Scholarcy is a platform driven by AI that helps you analyze scientific articles, extract key information, create lay summaries, and more.  

Maintaining academic integrity while using AI tools for research

While using AI-powered research tools is hardly a matter of choice anymore, it is important to maintain the ethics and standards we associate with academic research. Despite the use of cutting-edge AI, your research procedures should be transparent. 

Best practices for AI-powered academic research

• Mention the use of AI in your research and give credit to the developers.
• Discuss your use of AI tools and how their usage may have impacted the research outcome. 
• Make sure that AI tools are used adhering to data privacy and informed consent requirements.
• Do not use AI-generated content in your research work without due attribution.
• Subject AI-assisted work to rigorous peer review.

FAQs about best AI tools for researchers

Does using ai tools for research raise any ethical concerns.

Yes, there can be concerns regarding data privacy, biased outcome, attribution of credit, and plagiarism. Researchers must be mindful of these issues while involving AI in their research strategy.

Can AI research assistants be used with AI expertise? 

Most AI research assistants come with a conversational AI model that doesn’t require any expertise to use.

Is there an AI-based tool for historical research?

You can use general-purpose AI text analyzers to summarize large volumes of historical texts and create summaries. While there are AI-powered applications trained on historical data, they are mostly gamified, and cannot be directly used in historical research. 

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Saumick has been writing on technology for half a decade now. He loves talking about cybersecurity, AI, and enjoys diving deep into all disruptive tech. When not writing about tech, he writes songs and plays the drums.

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Ai-assisted literature reviews.

ChatGPT has a reputation for generating hallucinations, or false information. So can an Artificial Intelligence (AI) platform be trusted to assist in a literature review? Yes, if the tool you are using is the right one for the job. ChatGPT and Copilot are not designed to provide accurate citations. Instead, use them to brainstorm research questions. Keep alert for misinformation, hallucinations, and bias that could be part of the generative AI’s responses. Be aware of historical biases in the literature, which can also influence the output you encounter. 

Be sure to keep track of what tools you use, your purpose for using them, and the output from your interactions. Be prepared to disclose the AI tools, databases, and criteria used to select and analyze sources. Remember you are the one ultimately responsible for anything you create, generative AI is only your assistant.  

Try these five AI platforms to assist you in your literature reviews and academic research: 

• Copilot . Many people are exploring the ways that AI can be used to improve research. Even with a general generative AI platform like Copilot, you can use AI to help you brainstorm or discover new perspectives on research topics. An example prompt for this purpose can be found in David Maslach's article, "Generative AI Can Supercharge Your Academic Research," “I am thinking about [insert topic], but this is not a very novel idea. Can you help me find innovative papers and research from the last 10 years that has discussed [insert topic]?”  
• Elicit . This AI research assistant helps in evidence synthesis and text extraction. Users can enter a research question, and the AI identifies top papers in the field, even without perfect keyword matching. Elicit only includes academic papers, since Elicit is designed around finding and analyzing academic papers specifically. Elicit pulls from over 126 million papers through Semantic Scholar. Elicit organizes papers into an easy-to-use table and provides features for brainstorming research questions. 
• Consensus . This is an AI-powered search engine that pulls answers from research papers. Consensus is  not meant to be used to ask questions about basic facts such as, “How many people live in Europe?” or “When is the next leap year?” as there would likely not be research dedicated to investigating these subjects. Consensus is more effective with research questions on topics that have likely been studied by researchers. Yes/No questions will generate a “Consensus” from papers on the topic. Papers in Consensus also are from Semantic Scholar. Results in a Consensus search can be filtered by sample size of the study, population studied, study types, and more. This makes Consensus an interesting tool for finding related literature on your search topic. 
• Research Rabbit . An AI research assistant designed to assist researchers in literature research, discovering and organizing academic papers efficiently. It offers features such as interactive visualizations, collaborative exploration, and personalized recommendations. Users can create collections of papers, visualize networks of papers and co-authorships, and explore research questions. Unlike the previous two platforms listed, Research Rabbit doesn’t start with a question, but a paper that already is known. You need to have a starting article to go down a “rabbit hole” to see connections between papers. 
• Litmaps . A similar tool to Research Rabbit, a Litmap shows the relationships between the articles in your collection in the form of connecting lines which trace the citations for you. It allows a user to start with a citation, or a seed, and then through a simple interface, investigate connections between papers. 

For further reading, see " How to Write AI-Powered Literature Reviews: Balancing Speed, Depth, and Breadth in Academic Research " which includes a helpful table comparing the different tools that specialize in literature searching. And check out the February 2024 webinar, " Unlock the Power of AI for Academic Research " hosted by Tracy Mendolia-Moore and Brett Christie for more information on this topic. 

Research with Generative AI

Resources for scholars and researchers

Generative AI (GenAI) technologies offer new opportunities to advance research and scholarship. This resource page aims to provide Harvard researchers and scholars with basic guidance, information on available resources, and contacts. The content will be regularly updated as these technologies continue to evolve. Your feedback is welcome.

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Frequently asked questions

Can i use generative ai to write and/or develop research papers.

Academic publishers have a range of policies on the use of AI in research papers. In some cases, publishers may prohibit the use of AI for certain aspects of paper development. You should review the specific policies of the target publisher to determine what is permitted.

Here is a sampling of policies available online:

• JAMA and the JAMA Network
• Springer Nature

How should AI-generated content be cited in research papers?

Guidance will likely develop as AI systems evolve, but some leading style guides have offered recommendations:

• The Chicago Manual of Style
• MLA Style Guide

Should I disclose the use of generative AI in a research paper?

Yes. Most academic publishers require researchers using AI tools to document this use in the methods or acknowledgements sections of their papers. You should review the specific guidelines of the target publisher to determine what is required.

Can I use AI in writing grant applications?

You should review the specific policies of potential funders to determine if the use of AI is permitted. For its part, the National Institutes of Health (NIH) advises caution : “If you use an AI tool to help write your application, you also do so at your own risk,” as these tools may inadvertently introduce issues associated with research misconduct, such as plagiarism or fabrication.

Can I use AI in the peer review process?

Many funders have not yet published policies on the use of AI in the peer review process. However, the National Institutes of Health (NIH) has prohibited such use “for analyzing and formulating peer review critiques for grant applications and R&D contract proposals.” You should carefully review the specific policies of funders to determine their stance on the use of AI

Are there AI safety concerns or potential risks I should be aware of?

Yes. Some of the primary safety issues and risks include the following:

• Bias and discrimination: The potential for AI systems to exhibit unfair or discriminatory behavior.
• Misinformation, impersonation, and manipulation: The risk of AI systems disseminating false or misleading information, or being used to deceive or manipulate individuals.
• Research and IP compliance: The necessity for AI systems to adhere to legal and ethical guidelines when utilizing proprietary information or conducting research.
• Security vulnerabilities: The susceptibility of AI systems to hacking or unauthorized access.
• Unpredictability: The difficulty in predicting the behavior or outcomes of AI systems.
• Overreliance: The risk of relying excessively on AI systems without considering their limitations or potential errors.

See Initial guidelines for the use of Generative AI tools at Harvard for more information.

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AI generates high-quality images 30 times faster in a single step

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In our current age of artificial intelligence, computers can generate their own “art” by way of diffusion models , iteratively adding structure to a noisy initial state until a clear image or video emerges. Diffusion models have suddenly grabbed a seat at everyone’s table: Enter a few words and experience instantaneous, dopamine-spiking dreamscapes at the intersection of reality and fantasy. Behind the scenes, it involves a complex, time-intensive process requiring numerous iterations for the algorithm to perfect the image.

MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers have introduced a new framework that simplifies the multi-step process of traditional diffusion models into a single step, addressing previous limitations. This is done through a type of teacher-student model: teaching a new computer model to mimic the behavior of more complicated, original models that generate images. The approach, known as distribution matching distillation (DMD), retains the quality of the generated images and allows for much faster generation. 

“Our work is a novel method that accelerates current diffusion models such as Stable Diffusion and DALLE-3 by 30 times,” says Tianwei Yin, an MIT PhD student in electrical engineering and computer science, CSAIL affiliate, and the lead researcher on the DMD framework. “This advancement not only significantly reduces computational time but also retains, if not surpasses, the quality of the generated visual content. Theoretically, the approach marries the principles of generative adversarial networks (GANs) with those of diffusion models, achieving visual content generation in a single step — a stark contrast to the hundred steps of iterative refinement required by current diffusion models. It could potentially be a new generative modeling method that excels in speed and quality.”

This single-step diffusion model could enhance design tools, enabling quicker content creation and potentially supporting advancements in drug discovery and 3D modeling, where promptness and efficacy are key.

Distribution dreams

DMD cleverly has two components. First, it uses a regression loss, which anchors the mapping to ensure a coarse organization of the space of images to make training more stable. Next, it uses a distribution matching loss, which ensures that the probability to generate a given image with the student model corresponds to its real-world occurrence frequency. To do this, it leverages two diffusion models that act as guides, helping the system understand the difference between real and generated images and making training the speedy one-step generator possible.

The system achieves faster generation by training a new network to minimize the distribution divergence between its generated images and those from the training dataset used by traditional diffusion models. “Our key insight is to approximate gradients that guide the improvement of the new model using two diffusion models,” says Yin. “In this way, we distill the knowledge of the original, more complex model into the simpler, faster one, while bypassing the notorious instability and mode collapse issues in GANs.” 

Yin and colleagues used pre-trained networks for the new student model, simplifying the process. By copying and fine-tuning parameters from the original models, the team achieved fast training convergence of the new model, which is capable of producing high-quality images with the same architectural foundation. “This enables combining with other system optimizations based on the original architecture to further accelerate the creation process,” adds Yin. 

When put to the test against the usual methods, using a wide range of benchmarks, DMD showed consistent performance. On the popular benchmark of generating images based on specific classes on ImageNet, DMD is the first one-step diffusion technique that churns out pictures pretty much on par with those from the original, more complex models, rocking a super-close Fréchet inception distance (FID) score of just 0.3, which is impressive, since FID is all about judging the quality and diversity of generated images. Furthermore, DMD excels in industrial-scale text-to-image generation and achieves state-of-the-art one-step generation performance. There's still a slight quality gap when tackling trickier text-to-image applications, suggesting there's a bit of room for improvement down the line. 

Additionally, the performance of the DMD-generated images is intrinsically linked to the capabilities of the teacher model used during the distillation process. In the current form, which uses Stable Diffusion v1.5 as the teacher model, the student inherits limitations such as rendering detailed depictions of text and small faces, suggesting that DMD-generated images could be further enhanced by more advanced teacher models. 

“Decreasing the number of iterations has been the Holy Grail in diffusion models since their inception,” says Fredo Durand, MIT professor of electrical engineering and computer science, CSAIL principal investigator, and a lead author on the paper. “We are very excited to finally enable single-step image generation, which will dramatically reduce compute costs and accelerate the process.” 

“Finally, a paper that successfully combines the versatility and high visual quality of diffusion models with the real-time performance of GANs,” says Alexei Efros, a professor of electrical engineering and computer science at the University of California at Berkeley who was not involved in this study. “I expect this work to open up fantastic possibilities for high-quality real-time visual editing.” 

Yin and Durand’s fellow authors are MIT electrical engineering and computer science professor and CSAIL principal investigator William T. Freeman, as well as Adobe research scientists Michaël Gharbi SM '15, PhD '18; Richard Zhang; Eli Shechtman; and Taesung Park. Their work was supported, in part, by U.S. National Science Foundation grants (including one for the Institute for Artificial Intelligence and Fundamental Interactions), the Singapore Defense Science and Technology Agency, and by funding from Gwangju Institute of Science and Technology and Amazon. Their work will be presented at the Conference on Computer Vision and Pattern Recognition in June.

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• Tianwei Yin
• Computer Science and Artificial Intelligence Laboratory (CSAIL)
• Department of Electrical Engineering and Computer Science

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Computer Science > Computer Vision and Pattern Recognition

Title: mm1: methods, analysis & insights from multimodal llm pre-training.

Abstract: In this work, we discuss building performant Multimodal Large Language Models (MLLMs). In particular, we study the importance of various architecture components and data choices. Through careful and comprehensive ablations of the image encoder, the vision language connector, and various pre-training data choices, we identified several crucial design lessons. For example, we demonstrate that for large-scale multimodal pre-training using a careful mix of image-caption, interleaved image-text, and text-only data is crucial for achieving state-of-the-art (SOTA) few-shot results across multiple benchmarks, compared to other published pre-training results. Further, we show that the image encoder together with image resolution and the image token count has substantial impact, while the vision-language connector design is of comparatively negligible importance. By scaling up the presented recipe, we build MM1, a family of multimodal models up to 30B parameters, including both dense models and mixture-of-experts (MoE) variants, that are SOTA in pre-training metrics and achieve competitive performance after supervised fine-tuning on a range of established multimodal benchmarks. Thanks to large-scale pre-training, MM1 enjoys appealing properties such as enhanced in-context learning, and multi-image reasoning, enabling few-shot chain-of-thought prompting.

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