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Hi All

Myself, Erik Brynjolfsson and Sandy Pentland are very excited to announce that the first Conference on Digital Experimentation (CODE) @ MIT will take place this October 10-11, 2014 at the Sloan School of Management!

Details of the event can be found at:

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. 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.

We have assembled an amazing group of invited speakers from both industry and academia who have been thinking about and leading the way in the realm of digital experimentation.

Invited Speakers Include:

Eric Anderson, Kellogg
Alessandro Aquisti, CMU 
Susan Athey, Stanford
Esther Duflo, MIT
Eric Horvitz, Microsoft 
Jeremy Howard, Kaggle 
Ron Kohavi, Microsoft 
Karim 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

Participants will be selected based on submissions of 3-page extended abstracts. Please submit an extended abstract of no more than 3 pages to Susan Young ([log in to unmask]) by August 15th.

Abstracts will be evaluated as they are submitted and evaluation will continue until the program is filled. Space is limited, so interested researchers should submit their abstracts as soon as possible.

Authors of accepted abstracts will be notified by September 1st and will be expected to submit a final version in Microsoft Word format not to exceed 5 pages, including references and figures, by September 12th. Accepted abstracts will be distributed as informal working notes. Members of the press may attend the event and be present during presentations, so please take this into account when choosing the work you submit.

Key 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


Please submit your best work on Digital Experiments Soon!

Warm regards


Sinan Aral
David Austin Professor of Management
Associate Professor of IT and Marketing,
MIT Sloan School of Management.
Personal Webpage:
Google Scholar: | SSRN:
Twitter: @sinanaral
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