Anthropic has officially announced the expansion of its AI for Science program, collaborating with 20 scientific foundations, institutions, and research teams worldwide to provide free Claude credits to researchers engaged in high-impact scientific projects.
Background and Goals of the AI for Science Program
The AI for Science program was launched in May 2025, aiming to leverage artificial intelligence to accelerate scientific progress. Anthropic stated that the goal of the program is "to increase access to AI tools and resources to enable researchers to deepen and expand their own scientific work."
Collaboration with Scientific Institutions
Over the past year, Anthropic has begun establishing partnerships with scientific organizations to conduct collaborative research projects. For example, Anthropic collaborated with the HHMI Janelia Research Campus to develop the Model Hardware Standard (MHS), a shared specification that allows AI agents to safely operate laboratory instruments. Anthropic also supports the Allen Institute, which is dedicated to creating large open datasets and tools to facilitate research on the brain, cells, and immune system.
"AI for Science initially supported individual scientists. By collaborating with institutions and foundations, we are now able to reach more researchers across various fields."
Anthropic
Supported Scientific Foundations and Institutions
Anthropic is sharing Claude credits with several scientific foundations, including the Alfred P. Sloan Foundation, Simons Foundation, and the National Science Foundation, among others. These organizations will allocate resources to researchers eager to utilize AI for scientific research.
Launch of New Research Initiatives
In addition to collaborating with institutions, Anthropic is also directly supporting specific research initiatives that focus on issues with potential public impact. New projects include: FlyWire (Princeton University, neuroscience), LEAP (Columbia University, Earth systems), and AstroPath (Johns Hopkins University, cancer research).
"Many of these projects will produce public goods that benefit the broader scientific community: open datasets, open-source software, open standards, and shared libraries."
Anthropic
Anthropic expressed its anticipation that AI resources will broaden the scope of what scientists can attempt and facilitate new discoveries.
Source: Anthropic Official Announcement