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Make Data Work
Oct 15–17, 2014 • New York, NY
Jon Kleinberg

Jon Kleinberg
Professor, Cornell University


Jon Kleinberg is the Tisch University Professor of Computer Science and Information Science at Cornell, where his research focuses on the social and information networks that underpin the Web and other on-line media. He is the author of the books “Algorithm Design” (with Eva Tardos) and “Networks, Crowds, and Markets” (with David Easley). He is the recipient of awards including a MacArthur Fellowship, the Nevanlinna Prize, the Harvey Prize, the ACM SIGKDD Innovation Award, and the ACM-Infosys Foundation Award in the Computing Sciences, and he is a member of the National Academy of Engineering and the National Academy of Sciences.


9:00am–5:00pm Wednesday, 10/15/2014
Hardcore Data Science
Location: 1 E14/1 E15
Ben Lorica (O'Reilly), Ted Dunning (MapR, now part of HPE), Tim Kraska (Brown University), Alice Zheng (Amazon), Anna Gilbert (University of Michigan), Jon Kleinberg (Cornell University), Kira Radinsky (eBay | Technion), Rob Fergus (New York University and Facebook), Ben Recht (University of California, Berkeley), Brian Whitman (Spotify), Hanna Wallach (Microsoft Research NYC & University of Massachusetts Amherst), Dafna Shahaf (The Hebrew University of Jerusalem)
Average rating: ****.
(4.27, 15 ratings)
All-Day: Strata's regular data science track has great talks with real world experience from leading edge speakers. But we didn't just stop there—we added the Hardcore Data Science day to give you a chance to go even deeper. The Hardcore day will add new techniques and technologies to your data science toolbox, shared by leading data science practitioners from startups, industry, consulting... Read more.
11:45am–12:30pm Wednesday, 10/15/2014
Hardcore Data Science
Location: E14 / E15
Jon Kleinberg (Cornell University)
Average rating: ****.
(4.00, 7 ratings)
On-line social media systems are not simply venues for people to come together; they are also explicitly designed environments whose architectures serve to shape behavior. Here we consider several computational challenges for on-line social systems that illustrate this tension between organic interaction and algorithmic design. Read more.