2016 Big Data Conference & Workshop

08/22/2016 1:24 pm - 08/23/2016 1:24 pm
Harvard Science Center
Address: 1 Oxford Street, Cambridge MA 02138

! LOCATION CHANGE: The conference will be in Science Center Hall C on Tuesday, Aug.23, 2016.

The Center of Mathematical Sciences and Applications will be hosting a workshop on Big Data from August 12 – 21, 2016 followed by a two-day conference on Big Data from August 22 – 23, 2016.

Big Data Conference features many speakers from the Harvard Community as well as many scholars from across the globe, with talks focusing on computer science, statistics, math and physics, and economics. This is the second conference on Big Data the Center will host as part of our annual events. The 2015 conference was a huge success.

The conference will be hosted at Harvard Science Center Hall A (Monday, Aug.22) & Hall C (Tuesday, Aug.23): 1 Oxford Street, Cambridge, MA 02138.

The 2016 Big Data conference is sponsored by the Center of Mathematical Sciences and Applications at Harvard University and the Alfred P. Sloan Foundation.

Conference Speakers:

  1. Jörn Boehnke, Harvard CMSA
  2. Joan Bruna, UC Berkeley [Video]
  3. Tamara Broderick, MIT [Video]
  4. Justin Chen, MIT [Video]
  5. Yiling Chen, Harvard University [Video]
  6. Amir Farbin, UT Arlington [Video]
  7. Doug Finkbeiner, Harvard University [Video]
  8. Andrew Gelman, Columbia University [Video]
  9. Nina Holden, MIT [Video]
  10. Elchanan Mossel, MIT
  11. Alex Peysakhovich, Facebook
  12. Alexander Rakhlin, University of Pennsylvania [Video]
  13. Neal Wadhwa, MIT [Video]
  14. Jun Yin, University of Wisconsin
  15. Harry Zhou, Yale University [Video]

Please click Conference Program for a downloadable schedule with talk abstracts.

Please note that lunch will not be provided during the conference, but a map of Harvard Square with a list of local restaurants can be found by clicking Map & Resturants.

Please click here for registration.

Conference Schedule:

August 22 – Day 1
8:30am Breakfast
8:55am Opening remarks
9:00am – 9:50am Yiling Chen, “Machine Learning with Strategic Data Sources” [Video]
9:50am – 10:40am Andrew Gelman, “Taking Bayesian Inference Seriously” [Video]
10:40am – 11:10am Break
11:10am – 12:00pm Harrison Zhou, “A General Framework for Bayes Structured Linear Models” [Video]
12:00pm – 1:30pm Lunch
1:30pm – 2:20pm Douglas Finkbeiner, “Mapping the Milky Way in 3D with star colors” [Video]
2:20pm – 3:10pm Nina Holden, “Sparse exchangeable graphs and their limits” [Video]
3:10pm – 3:40pm Break
3:40pm – 4:30pm Alex Peysakhovich, “How social science methods inform personalization on Facebook News Feed” [Video]
4:30pm – 5:20pm Amir Farbin, “Deep Learning in High Energy Physics” [Video]
August 23 – Day 2
8:45am Breakfast
9:00am – 9:50am Joan Bruna Estrach, “Addressing Computational and Statistical Gaps with Deep Networks” [Video]
9:50am – 10:40am Justin Chen & Neal Wadhwa, “Smaller Than the Eye Can See: Big Engineering from Tiny Motions in Video” [Video]
10:40am – 11:10am Break
11:10am – 12:00pm Alexander Rakhlin, “How to Predict When Estimation is Hard: Algorithms for Learning on Graphs” [Video]
12:00pm – 1:30pm Lunch
1:30pm – 2:20pm Tamara Broderick, “Fast Quantification of Uncertainty and Robustness with Variational Bayes” [Video]
2:20pm – 3:10pm Elchanan Mossel, “Phylogenetic Reconstruction – a Rigorous Model of Deep Learning”
3:10pm – 3:40pm Break
3:40pm – 4:30pm Jörn Boehnke, “Amazon’s Price and Sales-rank Data: What can one billion prices on 150 thousand products tell us about the economy?”

Workshop Participants:

Richard Freeman’s Group:

  1. Sen Chai, ESSEC
  2. Brock Mendel, Harvard University
  3. Raviv Muriciano-Goroff, Stanford University
  4. Sifan Zhou, CMSA

Scott Kominer’s Group:

  1. Bradly Stadie, UC Berkeley
  2. Neal Wadhwa, MIT [Video]
  3. Justin Chen

Christopher Rogan’s Group:

  1. Amir Farbin, UT Arlington [Video]
  2. Paul Jackson, University of Adelaide

For more information about the workshops, please reach out directly to the individual group leaders.

* This event is sponsored by CMSA Harvard University and the Alfred P. Sloan Foundation.

Big Data