To promote research on the evolving role of machine learning in the delivery of health care and the conduct of health care research, the NBER Center for Aging and Health Research will host a one-day conference on Friday, January 15, 2021.  The aim of the conference is to bring together researchers in economics, medicine, statistics, epidemiology, and data science. The agenda is broad and oriented towards novel and interesting work at the intersection of these fields. The conference will be co-organized by NBER researchers David Cutler and Timothy Layton, both of Harvard University.

Research on a wide range of issues relating to machine learning and health care is welcome.  The NBER welcomes submissions of papers by scholars who are early in their careers, who are not NBER affiliates, and who are from groups that are under-represented in the economics profession. To be considered for inclusion on the program, papers must be uploaded by midnight (EST) December 11, 2020 via the following link:

http://conference.nber.org/confsubmit/backend/cfp?id=MLHCs21

Please do not submit papers that have been accepted for publication and that will be published by January, 2021.  Authors chosen to present papers will be notified in late December, 2020.   

All co-authors will be invited to participate in the virtual conference.  Questions about this conference may be addressed to confer@nber.org