Funder: National Bureau of Economic Research
Due Dates: February 18, 2027, 11:59 p.m. ET (Papers and abstracts) | February 18, 2027, 11:59 p.m. ET (Graduate student applications)
Funding Amounts: Economy-class travel and hotel expenses for up to two authors per conference paper and one author per poster; limited graduate student travel and accommodation support
Summary: Supports conference participation to examine how artificial intelligence can help or harm healthcare quality and efficiency.
Key Information: Conference-program submissions require complete or nearly complete papers; earlier-stage research may be considered for posters.
Description
The National Bureau of Economic Research (NBER), through its Center for Aging and Health Research and 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 examines unanswered questions about developing AI tools and their effects on healthcare quality and efficiency.
The organizers welcome research from economics, computer science, medicine, and other disciplines on any subject related to AI in healthcare. The conference accommodates research at different stages through oral and poster presentations. Travel and hotel support is available for presenting authors, alongside travel and accommodation funding for a limited number of graduate students interested in attending.
