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Conference on Digital Experimentation (CODE), Oct 10-11, 2014 at MIT

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Conference on Digital Experimentation (CODE) 2014

The ability to rapidly deploy micro-level randomized experiments at population scale is, in our view, one of the most significant innovations in modern social science. As more and more social interactions, behaviors, decisions, opinions and transactions are digitized and mediated by online platforms, we can quickly answer nuanced causal questions about the role of social behavior in population-level outcomes such as health, voting, political mobilization, consumer demand, information sharing, product rating and opinion aggregation. When appropriately theorized and rigorously applied, randomized experiments are the gold standard of causal inference and a cornerstone of effective policy. But the scale and complexity of these experiments also create scientific and statistical challenges for design and inference. The purpose of the Conference on Digital Experimentation at MIT (CODE) is to bring together leading researchers conducting and analyzing large scale randomized experiments in digitally mediated social and economic environments, in various scientific disciplines including economics, computer science and sociology, in order to lay the foundation for ongoing relationships and to build a lasting multidisciplinary research community.

Eric Anderson, Kellogg
Alessandro Aquisti, CMU
Susan Athey, Stanford
Eric Horvitz, Microsoft
Jeremy Howard, Khosla Ventures
Ron Kohavi, Microsoft
Karim R. Lakhani, Harvard
John Langford, Microsoft
David Lazer, Northeastern
Sendhil Mullainathan, Harvard
Claudia Perlich, Distillery
David Reiley, Google
Hal Varian, Google
Dan Wagner, Civis
Duncan Watts, Microsoft

Important Dates
Workshop: October 10-11, 2014
Abstract Submission Deadline: August 15, 2014
Notification to Authors: September 1, 2014
Final Abstract Submission: September 12, 2014
Early Registration Deadline: September 19, 2014
Onsite Registration: October 10, 2014


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