GenAI Lab
BRIDGE GenAI Lab
Beth Israel Deaconess Medical Center
Clinical AI evaluation, safety, reliability, and real-world performance.
How we work together
Co-developing evaluation methods and reusable infrastructure for clinical agent workflows.
Get involved
EvalScience brings together researchers and practitioners to improve how agentic systems are evaluated. There are many ways to get involved, from joining the research community to contributing expertise, resources, or support.
For individuals
We are building a network of researchers and practitioners interested in making agent evaluation more scientific, useful, and reliable.
For organizations
We work with research groups, companies, funders, and other organizations interested in improving how agentic systems are evaluated.
Support
EvalScience is an independent 501(c)(3) nonprofit. Evaluation needs someone to pay for it who does not sell the systems being evaluated. Support goes to studies on our Research Agenda, mentored projects with compute and stipends for early-career researchers, an open curriculum, and events that connect researchers and practitioners across fields.
We welcome grants, gifts, compute credits, and sponsorship of a cohort, a course, or an event.
Collaboration
EvalScience works with researchers, research groups, and organizations across academia, industry, and the public sector. These collaborations inform our research, events, and community programs.
Beth Israel Deaconess Medical Center
Clinical AI evaluation, safety, reliability, and real-world performance.
Co-developing evaluation methods and reusable infrastructure for clinical agent workflows.

Danube Private University
Digital health, patient safety, medical ethics, and healthcare communication.
Collaborating on evaluation methods and research in digital health, patient safety, medical ethics, and healthcare communication.
Brigham and Women's Hospital · Harvard Medical School
Clinical informatics, healthcare AI, natural language processing, clinical decision support and patient safety.
Exploring scientific evaluation methods for AI systems in clinical and biomedical settings.

Expert-generated cases and domain data for consequential AI workflows.
Exploring how proprietary case corpora and domain expertise can support rigorous benchmark research and development.

Independent research and community collaboration on AI evaluation.
Sharing research and connecting evaluation work across the agent evaluation community.

An open research and collaboration network for digital health and patient safety.
Connecting researchers and sharing ideas, research, and opportunities across agent evaluation, digital health, and patient safety.
Contact
We welcome research collaborations, resource contributions, partnerships, and other forms of support.