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

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Page 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

Training Students to Extract Value from

Big DataA workshop of the Committee on Applied and Theoretical Statistics

Sponsored by the National Science Foundation

Page 2: 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 MembershipConstantine Gatsonis (chair), Brown UniversityMontserrat Fuentes, North Carolina State UniversityAlfred Hero, University of MichiganDavid Higdon, Los Alamos National LaboratoryIain Johnstone (NAS), Stanford UniversityRobert Kass, Carnegie Mellon UniversityJohn Lafferty, University of ChicagoXihong 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

Page 3: Training Students to Extract Value from Big Data A workshop of the Committee on Applied and Theoretical Statistics Sponsored by the National Science Foundation

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

Page 4: Training Students to Extract Value from Big Data A workshop of the Committee on Applied and Theoretical Statistics Sponsored by the National Science Foundation

Day 1 Agenda8:30-8:40 Opening RemarksSuzanne Iacono, Deputy Assistant Director, Directorate for Computer and Information Science and Engineering, National Science Foundation 8:40-10:00 The Need for Training: Experiences and Case StudiesRayid Ghani, University of ChicagoGuy Lebanon, Amazon Corporation 10:00-10:15 Break 10:15-12:45 Principles for Working with Big DataJeffery Ullman, Stanford UniversityAlexander Gray, Skytree CorporationDuncan Temple Lang, University of California, DavisJuliana Freire, New York University

Page 5: Training Students to Extract Value from Big Data A workshop of the Committee on Applied and Theoretical Statistics Sponsored by the National Science Foundation

Day 1 Agenda (cont.)

12:45-1:45 Lunch 1:45-4:15 Courses, Curricula, and Interdisciplinary ProgramsBill Howe, University of WashingtonPeter Fox, Rensselear Polytechnic InstitutionJoshua Bloom, University of California, Berkeley 4:15-4:30 Break 4:30-5:00 Q&A/Discussion

Page 6: Training Students to Extract Value from Big Data A workshop of the Committee on Applied and Theoretical Statistics Sponsored by the National Science Foundation

Day 2 Agenda

Breakfast available in the meeting room beginning at 8:00 AM 8:30-11:00 Shared ResourcesChristopher Re, Stanford UniversityBill Cleveland, Purdue University

Panel Discussion:Roger Barga, Microsoft Corporation Ron Brachman, YahooMark Ryland, Amazon 11:00-11:15 Break 11:15-1:00 Panel Discussion: Workshop Lessons 1:00 Adjourn