
Atlantic Causal Inference Conference 2013
Harvard University, May 20-21, 2013
The 2013 Atlantic Causal Inference Conference will be hosted by Harvard University May 20-21, 2013, and is being co-organized by the Harvard School of Public Health Program on Causal Inference and the Institute of Quantitative Social Science. It will be held at 1730 Cambridge Street, Cambridge MA.
The Atlantic Causal Inference Conference is a gathering of statisticians, biostatisticians, epidemiologists, economists, social science and policy researchers to discuss methodologic issues with drawing causal inferences from experimental and non-experimental data. The inaugural meeting was held in 2005 with a small group of researchers at Columbia University and has since grown into an annual event with over 100 attendees. Recent meetings have been hosted by the University of Michigan, New York University, Johns Hopkins University and the University of Pennsylvania. What began as a regional conference has grown in geographic reach, now attracting researchers from across the US and from abroad.
The registration fee is $100 with a reduced fee of $50 for students. Invited speakers will receive free registration. Registration grants you access to the conference, and food and beverages during the conference. You'll have an opportunity to present a poster and you can indicate if you would like to do so (and supply title and abstract) upon registration. Conference speakers and organizers are guaranteed spaces, though must still register; all other registrations will be accepted on a first come, first served basis, so register soon to guarantee your space. We look forward to seeing you at the conference!
Register here: Registration Site [REGISTRATION IS NOW CLOSED; A LIMITED NUMBER OF REGISTRATIONS WILL BE POSSIBLE THE MORNING OF CONFERENCE]
[IF YOU ARE AN INVITED SPEAKER OR SESSION ORGANIZER AND HAVE NOT REGISTERED PLEASE JUST SHOW UP]
Other Sites of Interest:
Accommodations
Harvard Square
Transportation
Schedule
Sunday May 19
7:00pm Junior Researcher Dinner (RSVP to Betsy Ogburn - eogburn@hsph.harvard.edu)
Monday May 20
8:45-9:00 Opening Remarks
9:00-10:40 Session 1: Infectious disease
10:40-11:00 Break
11:00-12:40 Session 2: Study design and analysis
12:40-2:20 Lunch
2:20-4:00 Session 3: Conceptual issues in causal inference
4:00-5:30 Posters Session and Reception
5:30-8:30 Evening Panel – Session 4: Discussion on Causal Inference and Policy
Tuesday May 21
9:00-10:40 Session 5: Causal and statistical inference when N=1
10:40-11:00 Break
11:00-12:40 Session 6: Confounding
12:40-2:20 Lunch
2:20-4:00 Session 7: Decision-making
4:00-4:20 Break
4:20-6:00 Session 8: Social science
Session 1: Causal inference for infectious disease
Organizer and Chair: Tyler VanderWeele
Speakers:
Peter Gilbert, Fred Hutchinson Cancer Research Center
M. Elizabeth Halloran, University of Washington
Jim Koopman, University of Michigan
Elizabeth Ogburn, Harvard School of Public Health (2012 Tom Ten Have Award Winner)
Session 2: Some new directions in the design and analysis of studies for causal inference
Organizer and Chair: Tirthankar Dasgupta
Speakers:
Cassandra Wolos Pattanayak, Harvard University
Luke Miratrix, Harvard University
Zhiqiang Tan, Rutgers University
Discussant: Donald Rubin, Harvard University
Session 3: Conceptual Issues in Causal Inference
Organizer and Chair: James Robins
Speakers:
Thomas Richardson, University of Washington
Judea Pearl, UCLA
Discussant: Jas Sekhon, UC Berkeley
Session 4: Panel Discussion on Causal Inference and Policy
Chair: Judith Lok, James Robins
Raj Chetty, Harvard University
Alberto Abadie, Harvard University
Jas Sekhon, UC Berkeley
Session 5: Causal and statistical inference when N=1
Organizer and Chair: Elizabeth Ogburn
Speakers:
Mark van der Laan, University of California Berkeley
Soumendra Nath Lahiri, Texas A&M University
Cosma Shalizi, Carnegie Mellon University
Session 6: Confounding control and causal inference
Organizer and Chair: Eric Tchetgen Tchetgen
Speakers:
David Vock, University of Minnesota (2012 Tom Ten Have Award Winner)
Andrea Rotnitzsky, Universidad Torcuato Di Tella
Paul Rosenbaum, University of Pennsylvania
Discussant:
Session 7: Decision-making, policy, and causal inference
Organizer and Chair: Miguel Hernan, Susan Gruber, Cory Zigler
Speakers:
Scott Bartell, University of California at Irvine
Steven Goodman, Stanford University
Dan McCaffrey, Educational Testing Services
Discussant: Jay Kaufman, McGill University
Session 8: Design issues for causal inference in the social sciences
Organizer and Chair: Dustin Tingley
Speakers:
Damon Centola, Massachusetts Institute of Technology
Kosuke Imai, Princeton University
Teppei Yamamoto, Massachusetts Institute of Technology
Peter Aronow, Yale University
