
	Friday, May 10
8:15 am	Shuttle van leaves Royal Sonesta Hotel for NBER
8:30 am	Continental Breakfast
9:00 am	Why Should Get Blood? Personalizing Medicine with Heterogeneous Treatment Effects Jason Abaluck, Yale University and NBER Leila Agha, Harvard University and NBER David C. Chan Jr, Stanford University and NBER
10:00 am	Clinical Value of Predicting Individual Treatment Effects for Intensive Blood Pressure Therapy: A Machine Learning Experiment to Estimate Treatment Effects from Randomized Trial Data (slides) Tony Duan, Stanford University Pranav Rajpurkar, Harvard University Dillon Laird, Stanford University Andrew Ng, Stanford University Sanjay Basu, Stanford University
11:00 am	Break
11:30 am	Battling Antibiotic Resistance: Can Machine Learning Improve Prescribing? Michael A. Ribers, University of Copenhagen Hannes Ullrich, DIW Berlin
12:30 pm	Using Machine Learning to Explain Socioeconomic and Racial Gaps in Pain (slides) Emma J. Pierson, Cornell University David M. Cutler, Harvard University and NBER Jure Leskovec, Stanford University Sendhil Mullainathan, University of Chicago and NBER Ziad Obermeyer, University of California, Berkeley and NBER
1:30 pm	Lunch and Panel
3:00 pm	Using Search Queries to Understand Health Information Needs in Africa Rediet Abebe, Cornell University Shawndra Hill, Columbia University Jennifer Wortman Vaughan, Microsoft Research Peter M. Small, Rockefeller Foundation H. Andrew Schwartz, Stony Brook University
4:00 pm	Childhood Obesity Prediction and Risk Factor Analysis from Nationwide Health Records Hagai Rossman, Weizmann Institute of Science Smadar Shilo, Weizmann Institute of Science
5:00 pm	Adjourn
	FORMAT: 45 mins presenter, 15 mins questions

Participants

Jason Abaluck, Yale University and NBER
Rediet Abebe, Cornell University
Leila Agha, Harvard University and NBER
Carl Berdahl, Cedars Sinai Medical Center
Charlotte Blease, Beth Israel Deaconess Medical Center
David C. Chan Jr, Stanford University and NBER
Amitabh Chandra, Harvard University and NBER
Irene Y. Chen, Massachusetts Institute of Technology
David M. Cutler, Harvard University and NBER
Tony Duan, Stanford University
Evan Flack, Stanford University
Marzyeh Ghassemi, Massachusetts Institute of Technology
Luba Greenwood, Verily
Colin Hill, GNS Healthcare
Angela Kilby, Northeastern University
Amanda E. Kowalski, University of Michigan and NBER
Rahul Ladhania, University of Michigan
Jetson Leder-Luis, Boston University and NBER
Katie Lin, Harvard University
Megan Mariotti, Verily

Matthew McDermott, Massachusetts Institute of Technology
Zoë M. McLaren, University of Maryland
Mark Michalski, Massachusetts General Hospital
Aakash Mohpal, The World Bank
Sendhil Mullainathan, University of Chicago and NBER
Chloe O'Connell, Massachusetts Institute of Technology
Ziad Obermeyer, University of California, Berkeley and NBER
David Ohlssen, Novartis
Saman Parvaneh, Philips Research North America
Emma J. Pierson, Cornell University
Pranav Rajpurkar, Harvard University
Ronald Razmi, Kinders
Michael A. Ribers, University of Copenhagen
Hagai Rossman, Weizmann Institute of Science
Smadar Shilo, Weizmann Institute of Science
Michael A. Stern, ideas42
Hugo Torres, Partners Health Care
Hannes Ullrich, DIW Berlin
Paul Varghese, Harvard University
Christel Vermeersch, The World Bank