Conference on Digital Experimentation, MIT, 10-11 Oct 2014, Chairs Sinan Arla, Erik Brynjolfsson and Sandy Pentland; Deadline 15 Aug
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: www.codecon.net.
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 (firstname.lastname@example.org) 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.
- 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!
David Austin Professor of Management
Associate Professor of IT and Marketing,
MIT Sloan School of Management.
Personal Webpage: http://web.mit.edu/sinana/www/
Google Scholar: http://bit.ly/15Mmxlb | SSRN: http://ssrn.com/author=110270