Funder: National Bureau of Economic Research
Due Dates: February 18, 2027 (Papers and abstracts) | February 18, 2027 (Graduate student applications)
Funding Amounts: Economy-class travel and hotel for up to two authors per conference paper or one author per poster; limited graduate student travel and accommodation support
Summary: Supports conference presentations and graduate student attendance examining how artificial intelligence can help or harm healthcare quality and efficiency.
Key Information: Conference-program submissions require complete or nearly complete papers; earlier-stage projects may be considered for posters.
Description
The National Bureau of Economic Research’s Center for Aging and Health Research, with NIH support, will convene a research conference in Stanford, California, on June 2–3, 2027. Organized by Nikhil Agarwal (MIT and NBER) and Kevin Schulman (Stanford University), the meeting welcomes perspectives from economics, computer science, medicine, and other disciplines on AI’s effects on healthcare quality and efficiency.
Submissions may address any aspect of AI in healthcare. Particular interests include clinical decision-making; productivity and the workforce; administration, billing, and fraud; patient-facing services; biomedical innovation; data infrastructure and interoperability; implicit bias and unequal access; market structure and adoption incentives; aging and caregiving; and development and clinical and regulatory evaluation of AI tools. Oral and poster presentations accommodate research at different stages of completion.
