Registration: by invite only
Venue:
Microsoft New York
11 Times Square
New York, NY 10036
Upon Arrival: Please arrive early to get through security. Visitors will check in via the Microsoft Welcome Center on the ground floor. All visitors must show a government-issued photo ID each day to obtain a pass for the elevator turnstiles.
Contact us: If you have any questions regarding this event please send email to DigitalEcon2016@microsoft.com
Digital Economics is an annual day-and-a-half long conference hosted by Microsoft Research. This year’s theme was machine learning and economics, and we invited both internal and external experts to discuss the theory and practice of using machine learning to analyze large and novel economic data sets. The conference was held at our offices in New York City, on September 9-10, 2016. Continental breakfast and lunch was served, as well as coffee as appropriate to timing on both days.
Hospitality Notice for University and Government Employees: Microsoft Research provided hospitality at this event. Please consult with your institution to determine whether you can accept meals and other hospitality under your institution’s ethics rules and any other laws that might apply.
Organizing committee
- Susan Athey, Stanford University
- Greg Lewis, Microsoft Research
- Matt Taddy, Microsoft Research
Workshop speakers
Confirmed speakers and discussants include:
- Susan Athey, Stanford University
- Alex Belloni, Duke University
- Dan Bjorkegren, Brown University
- David Blei, Columbia University
- Xiaohong Chen, Yale University
- Dean Eckles, Massachusetts Institute of Technology
- Matt Harding, University of California–Irvine
- Shawndra Hill, Microsoft Research
- Greg Lewis, Microsoft Research
- Markus Mobius, Microsoft Research
- Nikhil Naik, Massachusetts Institute of Technology
- Denis Nekipelov, University of Virginia
- Serena Ng, Columbia University
- Emily Oster, Brown University
- Gautam Rao, Harvard University
- Justin Rao, Microsoft Research
- Amit Sharma, Microsoft Research
- David Sontag, New York University
- Matt Taddy, Microsoft Research