Which online applications equipped with artificial intelligence technology do you think can be useful for researchers and scientists? Which applications utilizing generative AI technology can assist in conducting scientific research and/or analyzing and presenting the results obtained from such research?
Artificial intelligence technology has significantly enriched the range of tools available to researchers and scientists, supporting them in data analysis, writing publications, organizing work, and automating repetitive tasks. In the field of managing scientific literature, applications like Mendeley and Zotero enable document organization, automatic citation formatting, and recommendations for new publications. For data analysis and statistics, tools such as IBM SPSS Modeler and RapidMiner are particularly useful, as they employ machine learning algorithms to analyze large datasets, while Google Colab offers access to AI libraries and a Python environment for advanced data processing. In writing and editing scientific texts, applications like Grammarly and Writefull enhance linguistic quality and clarity, while ChatGPT supports the generation of summaries and research ideas. For data visualization, Tableau and Power BI are indispensable, as they integrate AI to automate trend analysis and suggest visualization formats, with BioRender aiding in the creation of aesthetically pleasing scientific diagrams. In natural language analysis, Leximancer and NVivo facilitate qualitative research by automatically identifying key themes and patterns in textual data. Teamwork organization is made easier with tools like Notion and Slack, which leverage AI features to manage projects and improve communication. For exploring scientific literature, applications such as Semantic Scholar and Connected Papers allow users to uncover relationships between articles and recommend key publications. These tools significantly streamline research processes, save time, and open new opportunities in science, adapting to the specific nature of the research being conducted and the needs of research teams.
In view of the above, I address the following question to you:
Which online applications equipped with artificial intelligence technology do you think can be useful for researchers and scientists? Which applications utilizing generative AI technology can assist in conducting scientific research and/or analyzing and presenting the results obtained from such research?
Please feel free to respond.
I invite you to join the discussion and scientific cooperation.
Thank you very much.
I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
Article OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL I...
I invite you to familiarize yourself with the issues described in the article given above and to cooperate scientifically on these issues.
Kind regards,
Dariusz Prokopowicz
General AI Tools:
- Google Scholar: This is a powerful search engine specifically designed for academic research. It uses AI to suggest relevant papers and citations.
- ResearchGate: This social networking site for scientists and researchers uses AI to connect researchers with similar interests and to recommend relevant papers.
- Semantic Scholar: This AI-powered research tool helps you discover relevant papers, understand complex topics, and find experts in a field.
- Scite: This tool uses AI to analyze the impact of research papers, helping you identify the most influential work in a field.
AI-Powered Writing Tools:
- Grammarly: This popular writing assistant uses AI to detect and correct grammar, punctuation, and style errors. It can also help you improve your writing clarity and conciseness.
- QuillBot: This AI-powered paraphrasing tool can help you rewrite sentences and paragraphs to avoid plagiarism and improve the clarity of your writing.
- Jasper.ai: This AI writing assistant can help you generate ideas, write drafts, and edit your work. It can also be used to create different types of content, such as blog posts, social media posts, and email newsletters.
AI-Powered Data Analysis Tools:
- RapidMiner: This data mining and machine learning platform uses AI to automate data analysis tasks, such as data cleaning, feature engineering, and model building.
- KNIME: This open-source data analytics platform uses AI to help you visualize data, build predictive models, and automate data workflows.
- H2O.ai: This open-source platform for machine learning and predictive analytics uses AI to help you build and deploy machine learning models.
Other AI Tools:
- ChatGPT: This AI chatbot can help you with a variety of tasks, such as writing code, translating languages, and answering questions.
- Midjourney: This AI image generator can help you create images for your research papers or presentations.
It is important to note that this is not an exhaustive list, and new AI tools are being developed all the time. As a researcher or scientist, it is important to stay up-to-date on the latest AI tools and technologies.
Zotero and Mendeley: AI-assisted reference management tools for organizing citations and creating bibliographies efficiently.
MATLAB with AI Toolboxes: For data analysis, modeling, and simulation using AI algorithms
Dear Prof. Prokopowicz!
I found the following resources:
1) Susie Winter 2024. Springer Nature unveils two new AI tools to protect research integrity - Geppetto and SnappShot playing important role in stopping fake research from being published Press Release, 12 June 2024, © 2024 Springer Nature, Available at: https://group.springernature.com/gp/group/media/press-releases/new-research-integrity-tools-using-ai/27200740
2) Usher, M., Barak, M. Unpacking the role of AI ethics online education for science and engineering students. IJ STEM Ed 11, 35 (2024). https://doi.org/10.1186/s40594-024-00493-4, Open access: Article Unpacking the role of AI ethics online education for science...
3) Falebita, O.S., Kok, P.J. Artificial Intelligence Tools Usage: A Structural Equation Modeling of Undergraduates’ Technological Readiness, Self-Efficacy and Attitudes. Journal for STEM Educ Res (2024). https://doi.org/10.1007/s41979-024-00132-1, Open access: Article Artificial Intelligence Tools Usage: A Structural Equation M...
4) Ido Alon, Hazar Haidar, Ali Haidar, José Guimón,
The future of artificial intelligence: insights from recent Delphi studies,
Futures, 2024, https://doi.org/10.1016/j.futures.2024.103514, Open access: Article The future of artificial intelligence: Insights from recent ...
Sincerely, Bulcsu Szekely
ChatGPT turns two: how the AI chatbot has changed scientists’ lives
"Happy birthday, ChatGPT! It’s been two years since OpenAI debuted the tool to the public, which about four-fifths of 1,000 researchers who responded to a survey said they used in some capacity. Some think it has the potential to transform science and labwork. Others fear it facilitates plagiarism and gobbles up gargantuan amounts of energy. The debate in the scientific community rages on — we’ll check back in on birthday number three..."
https://www.nature.com/articles/d41586-024-03940-y
How AI is unlocking ancient texts — and could rewrite history
From deciphering burnt Roman scrolls to reading crumbling cuneiform tablets, neural networks could give researchers more data than they’ve had in centuries...
"Last February, student researchers used machine learning to decipher the text hidden inside a charred, unopenable scroll from the ancient Roman city of Herculaneum. “In that moment, you really think ‘now I’m living something that will be a historical moment for my field’,” recalls papyrologist Federica Nicolardi. Now artificial neural networks are being used to translate the vast historical archives of Korean kings and decipher ancient languages of which only scraps of text survive..."
https://www.nature.com/articles/d41586-024-04161-z
Scientists are split on OpenAI’s ‘deep research’
"OpenAI has unveiled a pay-for-access tool called ‘deep research’, which synthesizes information from dozens or hundreds of websites into a cited report several pages long. Some scientists are impressed — in particular in its ability to write scientific literature reviews. The tool also blew past its competitors on Humanity’s Last Exam, a 3,000-question benchmark test. “I think writing reviews is becoming obsolete,” says immunologist Derya Unutmaz after trying the product. Others are less impressed, because the tool cannot access paywalled information and can hallucinate or get citations wrong. “If a human did this I would be like: this needs a lot of work,” says data scientist Kyle Kabasares. A Science editorial from chemist Derek Lowe is worth a read, where he tests out the tool himself and receives an equal-parts impressive and limited result."
https://www.nature.com/articles/d41586-025-00377-9
https://www.science.org/content/blog-post/evaluation-deep-research-performance
Hello,
I am Oshin. Along with a couple of AI engineers, I am building a platform to help researchers innovate more effectively. Our MVP is ready and we are looking for the first users; completely FREE OF ANY COSTS (except for just a few minutes of you providing us feedback)
Features included in the MVP:
Smart Summaries delivers structured, context-aware research paper summaries, optimized for scientific clarity across text and visuals, unlike generic outputs by current AI tools.
Research Paper Recommendations & Literature Review Automation uses semantic search to find and rank relevant papers, then generates a preliminary literature review and detailed summaries to aid researchers in quickly identifying valuable work—without losing academic nuance.
Please let me know if you would be willing to give the product a shot.
Email: [email protected]
- Badges
- Science topic
- Similar topics
- Engineering
- Materials Engineering
- Powders