Keyword Search
Sessions Were Renumbered as of May 19.
Legend:
CC-W = McCormick Place Convention Center, West Building, CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago, UC= Conference Chicago at University Center
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Data Science returned 34 record(s)
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Sunday, 07/31/2016
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Data Science at Stitch Fix
Hilary Parker, Stitch Fix
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Fighting Fraud with Statistics!
Alyssa Frazee, Stripe
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The Future of the Journal Biostatistics
Dimitris Rizopoulos, Erasmus University Medical Center; Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
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We Are What We Ask: Mapping the Ecosystem of Software Development Using Stack Overflow Data
David G. Robinson, Stack Overflow
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The Python Data Science Stack
Jake VanderPlas, University of Washington
2:25 PM
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Thinking with Data Using R and RStudio: Powerful Idioms for Analysts
Nicholas Jon Horton, Amherst College; Randall Pruim, Calvin College; Daniel Kaplan, Macalester College
4:05 PM
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Tuesday, 08/02/2016
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Data Science: Bridging Academia and Industry
Justin Dyer, Google; Donal McMahon, Google
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How NOT to Do A/B Testing
David Charles Draper, University of California at Santa Cruz
9:25 AM
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Computational Thinking and Statistical Thinking: Foundations of Data Science
Ani Adhikari, University of California at Berkeley; Michael I. Jordan, University of California at Berkeley
10:35 AM
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Dealing with Credit Data: The Challenges and Statistical Solutions
Giulianna Perrotti dos Reis, Credit Sesame
11:00 AM
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Learning Communities: An Emerging Platform for Research in Statistics
Mark Daniel Ward, Purdue University
11:00 AM
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The ASA DataFest: Learning by Doing
Robert Gould, University of California at Los Angeles
11:25 AM
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Statistical Computing as an Introduction to Data Science
Colin Rundel, Duke University
11:50 AM
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The Professional Melting Pot: Statisticians, Data Scientists, and Health Researchers Talk Shop to Improve Public Well-Being
Nicholas Beyler, Mathematica Policy Research; Fei Xing, Mathematica Policy Research
3:05 PM
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Wednesday, 08/03/2016
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Members Choice: Hot Topics in Statistical Learning and Data Mining
Glen Wright Colopy, University of Oxford
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Steps Toward Reproducible Research
Karl W. Broman, University of Wisconsin - Madison
8:55 AM
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Integrating Reproducibility into the Undergraduate Statistics Curriculum
Mine Cetinkaya-Rundel, Duke University
9:35 AM
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Data Science Education
Constantine Gatsonis, Brown University; Alfred Hero, University of Michigan; John Lafferty, The University of Chicago; Raghu Ramakrishnan, Microsoft
10:35 AM
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Ethics in Data Science for Statistical Consultants
Nik Andric, Deloitte Consulting; James Guszcza, Deloitte Consulting; Andrej Zwitter, University of Groningen; Hope McIntyre, University of Virginia
10:35 AM
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Carpe Datum! Bill Cleveland's Contributions to Data Science and Big Data Analysis
Steve Scott, Google Analytics
11:35 AM
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Thursday, 08/04/2016
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Teaching Students to Work with Big Data Through Visualizations
Shonda Kuiper, Grinnell College
8:35 AM
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A Data Visualization Course for Undergraduate Data Science Students
Silas Bergen, Winona State University
8:50 AM
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Intro Stats for Future Data Scientists
Brianna Heggeseth, Williams College; Richard De Veaux, Williams College
9:05 AM
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An Undergraduate Data Science Program
James Albert, Bowling Green State University; Maria Rizzo, Bowling Green State University
9:20 AM
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Modernizing an Undergraduate Multivariate Statistics Class
David Hitchcock, University of South Carolina; Xiaoyan Lin, University of South Carolina; Brian Habing, University of South Carolina
9:35 AM
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Teaching Data Science Skills in an Introductory CS Course
Olaf Hall-Holt, St. Olaf College
10:35 AM
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Cross-Disciplinary Minor in Data Science: A New Paradigm for Partnership Across Disciplines
Andrew Schaffner, Cal Poly; Alexander Dekhtyar, Cal Poly
10:55 AM
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Detecting Text Reuse in State Legislative Bills
Joe Walsh, The University of Chicago; Matthew Burgess, University of Michigan; Eugenia Giraudy, YouGov; Julian Katz-Samuels, University of Michigan; Derek Willis, ProPublica; Rayid Ghani, The University of Chicago
10:55 AM
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Developing a Comprehensive Data Science Program
Mark John Lancaster, Northern Kentucky University
11:35 AM
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