Keyword Search
Legend:
CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: data science returned 40 record(s)
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Monday, 07/31/2017
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From Statistician to (Big) Data Scientist: How to Prepare?
Ming Li, Amazon and TAMU - Commerce
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The Connectivity of Data Science to Survey Design and Statistical Practice
Steven Cohen, RTI International
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Data Science Tutorials
Shonda Kuiper, Grinnell College; Laura Chihara, Carleton College; Adam Loy, Lawrence University
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Infusing Data Science into the Statistics Curriculum
Adam Loy, Lawrence University; Laura Chihara, Carleton College; Shonda Kuiper, Grinnell College
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AN ANALYSIS of NETWORK DISCUSSION TRENDS in TWITTER USING HASHTAG CLUSTERS
Elizabeth Tigner, Purdue University ; Jennifer Neville, Purdue University
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Data Science and Environmental Statistics
Stephan Sain, Unaffiliated
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Operations Research on NCAA Football Re-Injury Prevention
Nelson Chung, U. S. Census Bureau
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An Integrated Analysis and Reporting System for Data Science Teams
Iyue Sung, Press Ganey; David Klotz, Press Ganey; Jacob Cheng, Press Ganey; Wei-Han Chen, Press Ganey; Nikolas Matthes, Press Ganey; Peggy Miller, Press Ganey
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Fostering Undergraduate Data Science
Mark Ward, Purdue University; Fulya Gokalp Yavuz, Purdue University and Yildiz Technical University
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The Essential Connections Between Industry and Statistics Education: Innovation, Technology, and Partnerships
Robert Carver, Stonehill College; David Levine, Baruch College (CUNY); Mia Stephens, SAS Institute/ JMP Division; Scott Toney, Daniels College of Business, Univ of Denver; Billie Anderson, Ferris State University
8:35 AM
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Detecting Changes in Simulations
Joanne Wendelberger, Los Alamos National Laboratory; Divya Banesh, Los Alamos National Laboratory; James Ahrens, Los Alamos National Laboratory
9:20 AM
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Fostering Undergraduate Data Science
Mark Ward, Purdue University; Fulya Gokalp Yavuz, Purdue University and Yildiz Technical University
10:10 AM
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Operations Research on NCAA Football Re-Injury Prevention
Nelson Chung, U. S. Census Bureau
11:30 AM
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Statisticians Leading the Way: Advocating for Learning Health Systems and Collaborating Effectively with Clinical Stakeholders
Rebecca Yates Coley, Kaiser Permanente Washington Health Research Institute; Scott Zeger, Johns Hopkins University
11:50 AM
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An Integrated Analysis and Reporting System for Data Science Teams
Iyue Sung, Press Ganey; David Klotz, Press Ganey; Jacob Cheng, Press Ganey; Wei-Han Chen, Press Ganey; Nikolas Matthes, Press Ganey; Peggy Miller, Press Ganey
11:50 AM
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Teaching Statistics in the Age of Data Science
Jon A. Wellner, University of Washington
8:05 PM
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Tuesday, 08/01/2017
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Integrating Data Science and Big Data Concepts and Machine Learning in Drug Safety
Melvin Munsaka, Safety Statistics and Observational Res Analytics, Takeda
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First (?) Occurrence of the 25 Most Influential (?) Statistical Terms Introduced in the Last 20 Years
John McKenzie, Babson College
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Three Principles for Data Science: Predictability, Stability and Computability
Bin Yu, University of California, Berkeley
8:35 AM
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Lessons Learned in Transitioning from "Intro to Statistics" to "Reasoning with Data"
Rebecca Nugent, Carnegie Mellon Statistics
8:55 AM
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A First-Year Undergraduate Data Science Course
Mine Cetinkaya-Rundel, Duke University
9:15 AM
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First (?) Occurrence of the 25 Most Influential (?) Statistical Terms Introduced in the Last 20 Years
John McKenzie, Babson College
11:15 AM
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Wednesday, 08/02/2017
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Statistical Literacy in the Age of Data Science
Michael Jadoo, Bureau of Labor Statistics
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Modernizing the Undergraduate Statistics Curriculum
Nicholas J Horton, Amherst College
10:35 AM
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Statistical Data Integration Through Networks
Genevera I. Allen, Rice University
10:35 AM
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Industry Expectations for Statistics Graduates
Hilary Parker, Stitch Fix
10:55 AM
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Data Integration for Heterogenous Data Sets
Alfred Hero, III, University of Michigan
11:00 AM
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Expectations and Skills for Undergraduate Students Doing Research in Statistics and Data Science
Jo Hardin, Pomona College
11:15 AM
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Learning from Multiple Views of a Single Set of Observations
Daniela Witten, University of Washington
11:25 AM
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Data Science by the Layperson: What Is Our Responsibility?
Christopher Lindsell, University of Cincinnati, College of Medicine; Jody Ciolino, Northwestern University Feinberg School of Medicine; Jonathan Gelfond, University of Texas Health Science Center San Antonio; Matthew Mayo, University of Kansas Medical Center; Nichole Carlson, University of Colorado Denver
2:05 PM
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Modernizing the Statistics Curriculum for Non-Statistics Majors to Meet the Demands of Data Science and Analytics
Dick DeVeaux, Williams College; Robert Stine, University of Pennsylvania; Gareth James, University of Southern California; James Cochran, University of Alabama; Kellie Keeling, Daniels College of Business, University of Denver
2:05 PM
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A girl geek's guide to new research on interactive data visualization for statistics with lots of data
Dianne Cook, Monash University
2:05 PM
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Manny Parzen and Nonparametric Data Science
Subhadeep Mukhopadhyay, Temple University
2:55 PM
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Thursday, 08/03/2017
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Bridging the Gap Between Statistics and Other Data Sciences: Where's the Bridge? Where's the Gap?
Edward Boone, Virginia Commonwealth University; Randy Bartlett, Blue Sigma Analytics; Mark Lancaster, Northern Kentucky University; Andrew Ekstrom, University of Michigan - Dearborn; Fred Hulting, General Mills
8:35 AM
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Guiding Principles for Interactive Graphics Based on LIBD Data Science Projects
Leonardo Collado-Torres, Lieber Institute for Brain Development; Bill Ulrich, Lieber Institute for Brain Development; Stephen Semick, Lieber Institute for Brain Development; Andrew E Jaffe, Lieber Institute for Brain Development
9:00 AM
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A Data Science Approach to Analyzing Neural Data
Ethan Meyers
9:50 AM
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Advancing Statistics in Universities: Deans' Viewpoints
H. Joeseph Newton, Texas A&M Universtiy; Montserrat Fuentes, Virginia Commonwealth University; Rebecca Doerge, Carnegie-Mellon University ; Sally Morton, Virginia Tech; Sastry Pantula, Oregon State University College of Science
10:35 AM
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What Is the the Best and Safest for Me? Data Science Methods Applied to Medical Products and Treatments
Carolyn Carroll, Stat Tech, Inc.
10:35 AM
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