Accelerating Scientific Discovery with AI Data Analysis Tools for Researchers

A new initiative by OpenAI aims to accelerate scientific discovery and research using its advanced AI tools. The company is offering free access to its frontier models, including GPT-5.6 Sol Pro, to 100,000 researchers at selected academic institutions. This move marks a significant step towards democratizing access to powerful data analysis tools for the research community.

The program, called ChatGPT for Academic Researchers, is part of OpenAI’s commitment to support external scientific research and discovery. The company has pledged over $250 million through 2027 to fund various initiatives, including NextGenAI, which supports research institutions, and its work with the Department of Energy’s Genesis Mission to bring frontier AI to researchers at national laboratories and universities.

OpenAI believes that scientific progress accelerates when more researchers have access to powerful tools. The company is putting its frontier models in the hands of 100,000 scientists, mathematicians, and engineers, allowing them to pursue their own ideas without being limited by resource constraints. This approach marks a shift towards empowering researchers rather than trying to solve all problems themselves.

The program will start with 10,000 researchers this summer, with access already available at institutions such as the Institute for Advanced Study (IAS) and École normale supérieure (ENS). OpenAI plans to expand to 100,000 researchers through 2027. Participants will have access to its frontier models, including GPT-5.6 Sol Pro, which is capable of tackling complex scientific and mathematical problems.

Researchers using these tools can expect a range of benefits, from improved productivity to accelerated discovery. They will be able to use more than 75 life science skills spanning genetics, genomics, sequencing, single-cell analysis, protein modeling, and drug discovery. Connectors support research across disciplines, providing access to scientific literature, public genomic and clinical databases, satellite imagery, computational notebooks, data platforms, and reference managers.

Codex can help write and debug code, analyze datasets, and build reproducible workflows. ChatGPT Work can support longer projects such as finding funding opportunities, preparing grant applications, reviewing literature, drafting manuscripts, and creating materials to communicate results. Researchers will have different starting points with AI, from using these tools for the first time to developing advanced applications in their fields.

The program offers training tailored to different levels of experience, from getting started and improving workflows to advanced research applications. Participants will have access to specialists familiar with research workflows, including help integrating these tools into their work. As researchers discover new insights, OpenAI plans to create more opportunities for them to share practical approaches, learn from one another, and highlight uses across disciplines.

Researchers using AI most intensively are also taking on more ambitious work. Those in the top 20% of AI usage within their field are almost twice as likely as their peers to ask AI to take on tasks estimated to require four hours or more: nearly 7% of their requests, compared with 3.5% among other researchers in the same field.

The initial program is open to qualifying researchers at selected academic institutions. Eligible institutions must be recognized, degree-granting colleges or universities with a high level of research activity. Applicants will need to verify their institutional affiliation and provide information about their active research and intended scientific use. Approved researchers may invite up to four collaborators from their institution.

Applications are open today for the ChatGPT for Academic Researchers program. Eligible institutions can review the eligibility criteria and apply here. OpenAI’s commitment to supporting external scientific research and discovery reflects its belief that scientific progress accelerates when more researchers have access to powerful tools.