Keyword Search
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CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: data science returned 75 record(s)
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Sunday, 07/29/2018
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Some Thoughts on AIG from a Canadian Perspective
Nancy Reid, University of Toronto; David Alexander Campbell, Simon Fraser University
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Big Data Detectives: Improving Human Health Through Informing Policy
Kristin Linn, University of Pennsylvania; Laura Hatfield, Harvard Medical School; Julian Wolfson, University of Minnesota; Sherri Rose, Harvard Medical School
2:05 PM
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Teaching Students to Think About Data Representation
Dennis L Sun, Cal Poly and Google
2:05 PM
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Bridge the Gap Between Statistician and Data Analysis Professionals
Ming Li, Amazon
2:05 PM
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Data Scraping, Parsing, Wrangling, and Cleaning
Mark Daniel Ward, Purdue University
2:05 PM
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Analysis and Visualization for Large-Scale Scientific Simulations
Joanne R. Wendelberger, Los Alamos National Laboratory; Divya Banesh, Los Alamos National Laboratory; James Ahrens, Los Alamos National Laboratory
2:30 PM
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Scaling a Data Science Curriculum to the Masses: Success and Failures in the Undergraduate Classroom
Thomas Fisher, Miami University
2:45 PM
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Data Science: a Recent Graduate's 'Reverse Engineered' Perspective
Kelsey Warsinske, DePauw University, Miami University, Facebook
3:05 PM
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Developing a Data Science Program; Challenges and Outcomes
Mahbubul Majumder, University of Nebraska at Omaha
3:05 PM
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Communication and Collaboration Skills for the Era of Data Science
Eric Vance, LISA-University of Colorado Boulder
4:05 PM
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Understand the Impact of Video Game Marketing Spend: a Data Science Approach of Multi-Touch Attribution
Yushu Chai, Electronic Arts, Inc.; Chen Teel, Electronic Arts
4:05 PM
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Angle Based Joint and Individual Variation Explained
J. S. (Steve) Marron, University of North Carolina; Jan Hannig, University of North Carolina; Meilei Jiang, University of North Carolina; Qing Feng, Uber
4:30 PM
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What Statisticians Need to Know to Work in Tech
Michael Brundage, Google, Inc.
4:55 PM
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Monday, 07/30/2018
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Variability, Risk, and Data Science
Aric LaBarr, Elder Research Inc.
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Unearthing Correlations Between Crop Yields and Uncontrollable Factors
Tyler Netherly, Purdue University; Elizabeth Bell, Purdue University; Madison Trout, Purdue University; Professor Dennis Buckmaster, Purdue University
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Dynamic Data Visualization
Blanton Godfrey, North Carolina State University; Lori Rothenberg, NC State University
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Shiny Dashboards to Help Students Improve Performance
Robert Carver, Brandeis International Business School
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Statistical Programming to Principles of Data Science: Rethinking the Traditional Statistical Programming Curricula
Andrew Hoegh, Montana State University
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How Students Make Sense of Data on an E-Learning Platform
Philipp Burckhardt, Carnegie Mellon University; Christopher Genovese, Carnegie Mellon University; Rebecca Nugent, Carnegie Mellon University
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EDA: A Historical Perspective and a Path Forward
Dianne Cook, Monash University
8:35 AM
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Developing an Introductory Data Science Course in a Computer Science Curriculum
Dianna Spence, University of North Georgia
8:50 AM
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Statistical Programming to Principles of Data Science: Rethinking the Traditional Statistical Programming Curricula
Andrew Hoegh, Montana State University
8:50 AM
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Shiny Dashboards to Help Students Improve Performance
Robert Carver, Brandeis International Business School
8:55 AM
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How Students Make Sense of Data on an E-Learning Platform
Philipp Burckhardt, Carnegie Mellon University; Christopher Genovese, Carnegie Mellon University; Rebecca Nugent, Carnegie Mellon University
9:05 AM
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A Venn-Diagram Analysis of the Role of Statistics in Data Science
John McKenzie, Babson College
9:50 AM
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The Science of Data Science - Developing a Data Framework and Methods to Bring the All Data Revolution to Communities
Stephanie Shipp, Biocomplexity Institute of Virginia Tech; Sallie Keller, Social & Decisional Analytics Lab, Virginia Tech
10:35 AM
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General Techniques for Successful Data Science Competitions
Ian Michael Mouzon, Iowa State University
11:35 AM
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Version Control: The Gain You Get for Your Pain
Jennifer Bryan, RStudio, University of British Columbia
2:05 PM
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The Lean Course: Open and Collaborative Online Course Development
Sean Kross, The University of California San Diego
2:05 PM
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Using Data to Drive Curriculum Development
Chester Ivan Ismay, DataCamp
2:25 PM
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Authoring and Utilizing Open Source, Reproducible Statistics/Data Science Textbooks
Alicia A Johnson, Macalester College
2:45 PM
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Aligning Inference with the Tidyverse: Development of the Infer Package
Andrew Paul Bray, Reed College
3:05 PM
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Tuesday, 07/31/2018
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How to Teach Essential Collaboration Skills
Eric Vance, LISA-University of Colorado Boulder; Heather Smith, Cal Poly
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Julia Versus R
Paul McNicholas, McMaster University
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Accessible Statistical Reports in R: Using R, Markdown, and Word to Create Accessible Reproducible Documents
Robert Montgomery, NORC; Peter Herman, NORC at the University of Chicago; Qiao Ma, NORC at the University of Chicago; Stephen Schacht, NORC at the University of Chicago
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Undergraduate Data Science Statistics Pathways: What Is Needed for Entry into the Major?
Rebecca Hartzler, Charles A. Dana Center, University of Texas at Austin; Nicholas J. Horton, Amherst College
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A Modified Approach to Component-Wise Gradient Boosting for High-Dimensional Regression Models
Brandon Butcher, University of Iowa; Brian J. Smith, University of Iowa
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Visualizing Dependence in High Dimensions
Marius Hofert, University of Waterloo; Wayne Oldford, University of Waterloo
8:35 AM
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Transforming of Statistical Programmers and Analysts: Past, Current, and Future
Wenyun Ji, Amgen; Satha Thill, Abbvie; Melvin Munsaka, AbbVie, Inc.
8:35 AM
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Cloud Computing Approaches to Genomic Data Science
Sean Davis, National Cancer Institute
8:35 AM
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What Should Be the Role of Collaboration/Consulting for Applied Statistical Faculty Members in Academia: Rewards and Punishments
Virginia Lesser, Oregon State University; Shane Reese, Brigham Young University; George P. McCabe, Purdue University ; Dipak Kumar Dey, University of Connecticut; James Cochran, University of Alabama
10:35 AM
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Accessible Statistical Reports in R: Using R, Markdown, and Word to Create Accessible Reproducible Documents
Robert Montgomery, NORC; Peter Herman, NORC at the University of Chicago; Qiao Ma, NORC at the University of Chicago; Stephen Schacht, NORC at the University of Chicago
10:40 AM
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A Modified Approach to Component-Wise Gradient Boosting for High-Dimensional Regression Models
Brandon Butcher, University of Iowa; Brian J. Smith, University of Iowa
11:45 AM
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Undergraduate Data Science Statistics Pathways: What Is Needed for Entry into the Major?
Rebecca Hartzler, Charles A. Dana Center, University of Texas at Austin; Nicholas J. Horton, Amherst College
12:00 PM
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Harnessing the Power of the Web via R Clients for Web APIs
Lucy D'Agostino McGowan, Vanderbilt University
2:05 PM
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A Life Cycle View of Statistics
Laura Freeman, Institute for Defense Analysis; Ron S Kenett, KPA Group; John Peterson, Glaxo-Smith-Kline ; Agus Sudjianto, Wells Fargo
2:05 PM
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Panel Discussion for the Power of Podcast: Promoting Statistics and Data Science in the Age of Social Media
Richard Zink, TARGET PharmaSolutions; John Bailer, Miami University; Katie Malone, Civis Analytics; Kyle Polich, Data Skeptic
2:05 PM
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Multivariate Thinking and the Introductory Statistics Course: Preparing Students to Make Sense of a World Full of Observational Data
Nicholas J. Horton, Amherst College; Sarah C Anoke, Harvard TH Chan School of Public Health; Brendan Seto, Amherst College
2:45 PM
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Intro Stats and Intro Data Science: Do We Need Both?
Mine Cetinkaya-Rundel, Duke University
3:05 PM
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Harnessing the Power of Open Data on the Web
Karthik Ram, University of California, Berkeley; Scott Chamberlain, University of California, Berkeley
3:20 PM
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Wednesday, 08/01/2018
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Preparing Statistician to Successfully Data Scientist in Big Data Era
Ming Li, Amazon
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Data Science in Marketing Research
Chen Teel, Electronic Arts
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Statistical and Computational Efficiency in Big Data Analytics
Eric Laber, North Carlina State University
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Large-Scale Interactives for Large-Enrolment Courses
Anna Fergusson, The University of Auckland
8:55 AM
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Teaching Data Science as a First Statistics Course to 1,000 Students Per Semester
John DeNero, University of California, Berkeley; Ani Adhikari, University of California, Berkeley
9:15 AM
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Data Science with Your Hair on Fire: Applied Research in Soccer
Ted Knutson, StatsBomb Services
9:25 AM
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A Guide to Teaching Data Science
Rafael Irizarry, Harvard University
10:35 AM
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Real-World Learning Analytics: Modeling Student Academic Practices and Performance
Chantal D. Larose, Eastern Connecticut State University; Kim Y. Ward, Eastern Connecticut State University
10:50 AM
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Distributed Data Science with Sparklyr
Javier Luraschi, RStudio; Kevin Kuo, RStudio
11:05 AM
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Experiences with Teaching Genomic Data Science Online
Kasper Daniel Hansen, Johns Hopkins University
11:15 AM
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Probabilistic Programming with Non-Parametric Bayesian Model Discovery in BayesDB
Vikash Mansinghka; Feras Saad, MIT
11:35 AM
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Data Science in a Hurry
Iyue Sung
11:50 AM
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Building Bridges with Industry and Business for Statistical Programs
Sudipta Dasmohapatra, Duke University; Mark Morreale, SAS; Bill Thomas, Raytheon; Nathaniel Payne, Global Relay Communications Inc.
2:05 PM
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Thursday, 08/02/2018
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GAISEing into Introductory Service Courses in Light of Analytics/Data Science
Amy L Phelps, Duquesne University; Beverly Wood, Embry-Riddle Aeronautical University, Worldwide ; Mark Eakin, University of Texas Arlington; Mia Stephens, SAS Istitute, JMP Division; George Recck, Babson College
8:30 AM
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Foundation or Backdrop? The Role of Statisticians in Academic Data Science Initiatives
Patrick J Wolfe, Purdue University; Jennifer L Hill, New York University; David Madigan, Columbia University; Edoardo M Airoldi , Harvard University; Tian Zheng, Columbia University
8:35 AM
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Start from Wherever You Are: How to Adopt the Data Science Mindset into Your Consulting Practice
Isabella R Ghement, Ghement Statistical Consulting Company Ltd.
9:35 AM
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Data for Good: Designing for Impact
Jake Porway, DataKind
10:35 AM
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Dismantling Math, Stats, and CS Silos: PCMI Guidelines for Undergraduate Majors in Data Science
Albert Y. Kim, Smith College
10:35 AM
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How Human Behavior Drives Data Science---and How We Know Almost Nothing About It
Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
10:35 AM
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Pathways Through the Major in Statistical and Data Science at Smith
Randi L. Garcia, Smith College
10:50 AM
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Data Science + Social Science: Using Data Science to Track Arrest-Related Deaths in the US
Duren Banks, RTI International; Peter Baumgartner, RTI International; Michael G. Planty, RTI International
11:00 AM
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Herding Cats: Pros and Cons of a Large-Team Approach to Data Science at a Major Research University
David Hunter, Penn State University
11:05 AM
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Analyzing Students' Data Analysis Pipeline Decisions to Build an Interactive, Adaptive Software Platform
Rebecca Nugent, Carnegie Mellon University
11:15 AM
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Designing a Group Major in Data Science
Deborah Nolan, University of California, Berkeley
11:20 AM
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How Software Affects Humans' Conceptions of Data: a Case Study in R Syntaxes
Amelia McNamara, Smith College
11:35 AM
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