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Training Students to Extract Value from Big Data

Training Students to Extract Value from Big Data. A workshop of the Committee on Applied and Theoretical Statistics Sponsored by the National Science Foundation. CATS Membership. Constantine Gatsonis ( chair ), Brown University Montserrat Fuentes , North Carolina State University

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Training Students to Extract Value from Big Data

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  1. Training Students to Extract Value from Big Data A workshop of the Committee on Applied and Theoretical Statistics Sponsored by the National Science Foundation

  2. CATS Membership Constantine Gatsonis (chair), Brown University Montserrat Fuentes, North Carolina State University Alfred Hero, University of Michigan David Higdon, Los Alamos National Laboratory Iain Johnstone (NAS), Stanford University Robert Kass, Carnegie Mellon University John Lafferty, University of Chicago Xihong Lin, Harvard University Sharon-Lise Normand, Harvard Medical School Giovanni Parmigiani, Dana-Farber Cancer Institute Raghu Ramakrishnan, Microsoft Corporation Ernest Seglie, DOD Operational Test and Evaluation (retired) Lance Waller, Emory University Eugene Wong (NAE), University of California, Berkeley

  3. Program Committee Membership John Lafferty, University of Chicago (co-chair) Raghu Ramakrishnan, Microsoft Corporation (co-chair) Deepak Agarwal, LinkedIn Corinna Cortes, Google Jeff Dozier, University of California, Santa Barbara Robert Kass, Carnegie Mellon University Anna Gilbert, University of Michigan Patrick Hanrahan, Stanford University Rafael Irizarri, Harvard University Prabhakar Raghavan, Google Nathaniel Schenker, Centers for Disease Control and Prevention Ion Stoica, University of California, Berkeley

  4. Day 1 Agenda 8:30-8:40 Opening Remarks Suzanne Iacono, Deputy Assistant Director, Directorate for Computer and Information Science and Engineering, National Science Foundation 8:40-10:00The Need for Training: Experiences and Case Studies Rayid Ghani, University of Chicago Guy Lebanon, Amazon Corporation 10:00-10:15 Break 10:15-12:45 Principles for Working with Big Data Jeffery Ullman, Stanford University Alexander Gray, Skytree Corporation Duncan Temple Lang, University of California, Davis Juliana Freire, New York University

  5. Day 1 Agenda (cont.) 12:45-1:45 Lunch 1:45-4:15 Courses, Curricula, and Interdisciplinary Programs Bill Howe, University of Washington Peter Fox, Rensselear Polytechnic Institution Joshua Bloom, University of California, Berkeley 4:15-4:30 Break 4:30-5:00 Q&A/Discussion

  6. Day 2 Agenda Breakfast available in the meeting room beginning at 8:00 AM 8:30-11:00Shared Resources Christopher Re, Stanford University Bill Cleveland, Purdue University Panel Discussion: Roger Barga, Microsoft Corporation Ron Brachman, Yahoo Mark Ryland, Amazon 11:00-11:15 Break 11:15-1:00Panel Discussion: Workshop Lessons 1:00 Adjourn

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