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Legend:
* = applied session       ! = JSM meeting theme

Activity Details


37 * !
Mon, 8/3/2020, 10:00 AM - 11:50 AM Virtual
How to Save Lives and Increase Mobility on Highways? — Topic Contributed Panel
Government Statistics Section, Section on Physical and Engineering Sciences, Section on Statistics and Data Science Education
Organizer(s): Roya Amjadi, Federal Highway Administration
Chair(s): Roya Amjadi, Federal Highway Administration
10:05 AM How to Save Lives and Increase Mobility on Highways?
Panelists: Wei Zhang, Federal Highway Administration
Rachel James, Federal Highway Administration
Raul Avelar, Texas A&M Transportation Institute
Kornel Kerenyi, Federal Highway Administration
11:40 AM Floor Discussion
 
 

38 * !
Mon, 8/3/2020, 10:00 AM - 11:50 PM Virtual
Encouraging a Critical Mindset on Social Statistics — Topic Contributed Panel
International Statistical Institute, Committee on Women in Statistics, Section on Statistics and Data Science Education
Organizer(s): Anushka A Karkelanova, University of Kentucky
Chair(s): Anna Smith, University of Kentucky
10:05 AM Encouraging a Critical Mindset on Social Statistics Presentation
Panelists: Anushka A Karkelanova, University of Kentucky
Milo Schield, Augsburg University
Melissa Pittard, University of Kentucky
Amanda Ellis, Eastern Kentucky University
Emma Bojinova, University of Connecticut
11:40 AM Floor Discussion
 
 

71
Mon, 8/3/2020, 10:00 AM - 2:00 PM Virtual
Teaching the First Course in Statistics — Contributed Papers
Section on Statistics and Data Science Education
Chair(s): Amelia McNamara, University of St Thomas
Bridge Classroom and Real World with Reading Assignments
Wei Wei, Metropolitan State University
Flipping the Intro Stats Classroom with the Integrated Statistics Learning Environment (ISLE) Presentation
Marian Frazier, College of Wooster
Increasing Instructor-Student Interactions in a Large, Online Intro Course
Ella Burnham, University of Nebraska-Lincoln; Erin E Blankenship, University of Nebraska-Lincoln
Replacing Final Exams with Poster Presentations in Large Introductory Statistics Classes
Kristin Harvey, UNIVERSITY OF TEXAS
 
 

115 * !
Mon, 8/3/2020, 1:00 PM - 2:50 PM Virtual
Strategies for Training the Next Generation of Applied Statisticians — Invited Panel
Section on Statistical Consulting, Section on Statistics and Data Science Education
Organizer(s): Emily H Griffith, North Carolina State Universit
Chair(s): Julia Sharp, Colorado State University
1:05 PM Strategies for Training the Next Generation of Applied Statisticians
Panelists: Emily H Griffith, North Carolina State Universit
Erin K. Lake, Harvard School of Public Health
Heather S. Smith, Cal Poly San Luis Obispo
Kathryn Irvine, United States Geological Survey
Michelle Wiest, University of Idaho
Miranda Kroehl, University of Colorado Anshutz Medical Campus
2:40 PM Floor Discussion
 
 

127 * !
Mon, 8/3/2020, 1:00 PM - 2:50 PM Virtual
Understanding Statistics for Good: Integrating Service Learning into Statistics Education — Topic Contributed Papers
ASA-MAA Joint Committee on Undergraduate Statistics, Section on Statistics and Data Science Education, Section on Statistical Consulting
Organizer(s): Judith E Canner, California State University, Monterey Bay
Chair(s): Marian Frazier, College of Wooster
1:05 PM Engaging Undergraduate Students in the Entire Community-Based Research Process While Serving Rural Northern New York Communities Presentation
Joel LaLone, Center for Community Studies At Jefferson Community College (SUNY); Larry Danforth, Center for Community Studies at Jefferson Community College (SUNY)
1:25 PM Statistical Consultancy as Service Learning in Undergraduate Statistics Courses
Stacy DeRuiter, Calvin University
1:45 PM Doing Social Justice: Turning Talk into Action in a Statistics Service-Learning Course Presentation
Alana Unfried, California State University, Monterey Bay
2:05 PM 20 Years of StatCom at Purdue: Statistics in the Community and What Drives Engagement Presentation
Andrew Thomas
3:25 PM Discussant: Judith E Canner, California State University, Monterey Bay
2:45 PM Floor Discussion
 
 

220198
Mon, 8/3/2020, 5:00 PM - Virtual
ASA Section on Statistics and Data Science Education Business Meeting — Other Cmte/Business
Section on Statistics and Data Science Education
Chair(s): Michael Posner, Villanova University
ASA Section on Statistics and Data Science Education Business Meeting. Zoom Link - https://villanova.zoom.us/j/98708951511?pwd=YzdTVUg1aVFFZ3c1UXc0VFU1aEtmUT09
 
 

136 *
Tue, 8/4/2020, 10:00 AM - 11:50 AM Virtual
Modernizing the Mathematical Statistics Course — Invited Papers
Section on Statistics and Data Science Education
Organizer(s): Kelly S McConville, Reed College
Chair(s): Kevin Ross, California Polytechnic State University
10:05 AM GAISE for Majors
Randall Pruim, Calvin University
10:25 AM Dual Immersion in Probability and Statistics
Dennis Sun, Cal Poly and Google; Kevin Ross, California Polytechnic State University
10:45 AM Teach Likelihood Presentation
Michael Lavine, Army Research Office
11:05 AM Learning Through Assessment: Challenging Mathematical Statistics Students in Novel Ways
Jennifer Green, Montana State University; Erin E Blankenship, University of Nebraska-Lincoln
11:25 AM Active Learning: Not Just for Intro Stats Presentation
Erin E Blankenship, University of Nebraska-Lincoln; Jennifer Green, Montana State University
11:45 AM Floor Discussion
 
 

150 *
Tue, 8/4/2020, 10:00 AM - 11:50 AM Virtual
Operating a Private Statistical Consulting and Collaboration Practice: Words of Wisdom from Experts in the Field — Invited Panel
Section on Statistical Consulting, Section on Statistical Learning and Data Science, Section on Statistics and Data Science Education
Organizer(s): Harry Dean Johnson, Washington State University
Chair(s): Clark Kogan, Washington State University
10:05 AM Operating a Private Statistical Consulting and Collaboration Practice: Words of Wisdom from Experts in the Field Presentation
Panelists: Stephen Simon , P. Mean Consulting
Elaine Eisenbeisz , OMEGA STATISTICS
Karen Grace-Martin, The Analysis Factor
Kim Love , K. R. Love Quantitative Consulting and Collaboration
Nayak Polissar , The Mountain-Whisper-Light Statistics
11:40 AM Floor Discussion
 
 

170
Tue, 8/4/2020, 10:00 AM - 11:50 AM Virtual
Data Science: How Federal Agencies Are Upskilling Staff for the Modern Data Environment — Topic Contributed Panel
Government Statistics Section, Section on Statistics and Data Science Education, Section on Statistical Learning and Data Science
Organizer(s): Rebecca Hutchinson, US Census Bureau
Chair(s): Stephanie Studds, US Census Bureau
10:05 AM Data Science: How Federal Agencies Are Upskilling Staff for the Modern Data Environment
Panelists: Rebecca Hutchinson, US Census Bureau
Christian Moscardi, US Census Bureau
Alex Measure, Bureau of Labor Statistics
Bethany Blakey, General Services Administration
11:40 AM Floor Discussion
 
 

216
Tue, 8/4/2020, 10:00 AM - 2:00 PM Virtual
Contributed Poster Presentations: Section on Statistics and Data Science Education — Contributed Poster Presentations
Section on Statistics and Data Science Education
1: Uncovering and Utilizing Data Analysis Workflows: Data Provenance in ISLE
Philipp Burckhardt, Carnegie Mellon University; Rebecca Nugent, Carnegie Mellon University; Christopher R Genovese, Carnegie Mellon University
2: Assessing the Resources and Requirements of Statistics Education in Forensic Science
Xiaoyi Yang, Carnegie Mellon Univ; Robin Mejia, Statistics and Human Rights Program Manager and Special Faculty
3: Visualization: An Interdisciplinary Honors Course in Statistics, Art, Psychology, and History
Lisa Kay, Eastern Kentucky University
4: Engaging Everyone in a Multidisciplinary, Project-Based Introductory Statistics Course
Shurong Fang, John Carroll University
5: Using Data Mining Methods to Model the One-Year Retention of First-Time Full-Time Freshmen Cohorts
Nora Galambos
6: Analytics Across the Curriculum
Lan Nygren, Rider University
7: The Arcus Learning Exchange: Novel Open Source Statistics Education at the Children's Hospital of Philadelphia
Sheila Braun
 
 

278 *
Tue, 8/4/2020, 1:00 PM - 2:50 PM Virtual
Implementing Version Control with Git as a Learning Objective in Statistics Courses — Topic Contributed Panel
Section on Statistics and Data Science Education, Section on Teaching of Statistics in the Health Sciences
Organizer(s): Matthew D Beckman, Penn State University
Chair(s): Nicholas Horton, Amherst College
1:05 PM Implementing Version Control with Git as a Learning Objective in Statistics Courses Presentation
Panelists: Matthew D Beckman, Penn State University
Hunter Glanz, Cal Poly-San Luis Obispo
Adam Sullivan, Brown University
2:40 PM Floor Discussion
 
 

291 * !
Wed, 8/5/2020, 10:00 AM - 11:50 AM Virtual
Communicating Statistical Concepts in the Classroom, to the Public, and Beyond — Invited Papers
Section on Statistics and Data Science Education, Section on Statistical Consulting, Section on Statistical Graphics
Organizer(s): Lucy D''Agostino McGowan, Wake Forest University
Chair(s): Donna LaLonde, American Statistical Association
10:05 AM The Ups and Downs of Communicating Complex Statistical Ideas
Lucy D'Agostino McGowan, Wake Forest University
10:25 AM Communicating Statistics and Data Science to the Masses via Open Case Studies
Stephanie C Hicks, Johns Hopkins Bloomberg School of Public Health; Margaret Taub, Johns Hopkins; Leah Jager, Johns Hopkins Bloomberg School of Public Health; Carrie Wright, Johns Hopkins Bloomberg School of Public Health
10:45 AM How (Not) to Bring Wikipedia into the Classroom
Amelia McNamara, University of St Thomas
11:05 AM Getting Your Message Out with Podcasting
Roger Peng, Johns Hopkins Bloomberg School of Public Health
11:25 AM Discussant: Regina Nuzzo, American Statistical Association
11:45 AM Floor Discussion
 
 

297 !
Wed, 8/5/2020, 10:00 AM - 11:50 AM Virtual
Models for Mentoring — Invited Panel
Mu Sigma Rho, Section on Statistics and Data Science Education, Stats. Partnerships Among Academe Indust. & Govt. Committee
Organizer(s): Charles Eugene Smith, North Carolina State University
Chair(s): Christine Franklin, Univ. Georgia;American Statistical Association Fellow and K-12 Statistical Ambassador
10:05 AM Models for Mentoring Presentation
Panelists: Jackie Hughes-Oliver, North Carolina State University
Sastry Pantula, California State University- San Bernardino
Mine Cetinkaya-Rundel, University of Edinburgh, Duke University, RStudio
Tommy Wright, Census/CSRM FED
Mark Daniel Ward, Purdue Univ
Robert (Bob) Starbuck, North Carolina State Univ College of Sciences Foundation Board
11:40 AM Floor Discussion
 
 

315 * !
Wed, 8/5/2020, 10:00 AM - 11:50 AM Virtual
Statistics Education Research: Opportunities for Dissemination — Topic Contributed Panel
Section on Statistics and Data Science Education, Section on Teaching of Statistics in the Health Sciences
Organizer(s): Matthew J Hayat, Georgia State University
Chair(s): Todd Schwartz, University of North Carolina at Chapel Hill
10:05 AM Statistics Education Research: Opportunities for Dissemination Presentation
Panelists: Matthew J Hayat, Georgia State University
Robert Gould, UCLA
William Notz, The Ohio State University
Robert Oster, University of Alabama, Birmingham
Jennifer Kaplan, Middle Tennessee State University
Manfred Borovcnik, Alpen-Adria-Universität Klagenfurt
11:40 AM Floor Discussion
 
 

317 *
Wed, 8/5/2020, 10:00 AM - 11:50 AM Virtual
Methods for Fostering Student Engagement in Online Statistics Courses — Topic Contributed Panel
Section on Teaching of Statistics in the Health Sciences, Section on Statistics and Data Science Education
Organizer(s): Brandon George, Thomas Jefferson University
Chair(s): John Doucette, Icahn School of Medicine at Mount Sinai
10:05 AM Methods for Fostering Student Engagement in Online Statistics Courses
Panelists: Brandon George, Thomas Jefferson University
Ann Brearley, University of Minnesota
Michael Jiroutek, Campbell University
Laura Le, University of Minnesota
Suhwon Lee, University of Missouri
Matt Brems, General Assembly
11:45 AM Floor Discussion
 
 

358
Wed, 8/5/2020, 10:00 AM - 2:00 PM Virtual
New Concepts and Activities for Teaching Statistics — Contributed Papers
Section on Statistics and Data Science Education
Chair(s): Amelia McNamara, University of St Thomas
Bringing Visual Inference to the Classroom Presentation
Adam Loy, Carleton College
Teaching Ethics to Econometrics Students
Jenny Lye, University of Melbourne; Joe Hirschberg, University of Melbourne
Learning Design of Experiments Through a Flipped Classroom Experience
Victoria Woodard, University of Notre Dame
Context in the Classroom – Getting More Experts Involved Through Videos in Courses Presentation
Scott Toney, University of Denver
How Can We Teach About Power If We Can’t Say “p<0.05”?
Robin Lock, St. Lawrence University
 
 

383 * !
Wed, 8/5/2020, 1:00 PM - 2:50 PM Virtual
Teaching with Data for the Public Good — Invited Papers
Section on Statistics and Data Science Education, International Association for Statistical Education
Organizer(s): Mine Cetinkaya-Rundel, University of Edinburgh, Duke University, RStudio
Chair(s): Mine Cetinkaya-Rundel, University of Edinburgh, Duke University, RStudio
1:05 PM Inside-Out Statistics: Teaching Evidence-Based Reasoning in Introductory Courses
Kelly Nicole Bodwin, California Polytechnic State University
1:25 PM Who’s Underrepresented? Modeling Undercounts in the U.S. Census
Maria Tackett, Duke University
1:45 PM Difficult Dialogues: Communicating Data Analyses Effectively
Johanna Hardin, Pomona College
2:05 PM Discussant: Jenny Bryan, RStudio
2:25 PM Floor Discussion
 
 

447
Thu, 8/6/2020, 10:00 AM - 11:50 AM Virtual
Multivariable Thinking Across the Curriculum — Topic Contributed Papers
Section on Statistics and Data Science Education, Section on Teaching of Statistics in the Health Sciences
Organizer(s): Karen J. McGaughey, Cal Poly State University
Chair(s): Allison Theobold, Cal Poly State University
10:05 AM Building Statistical and Multivariable Thinking with Social Justice Investigations
Beth L. Chance, Cal Poly - San Luis Obispo; Josephine Louie, Education Development Center; Soma Roy, California Polytechnic State University - San Luis Obispo; Emily Fagan, Education Development Center; Jennifer Stiles, Education Development Center; William Finzer, Concord Consortium
10:25 AM Including Multivariable Thinking in a First Course in Statistics
Nathan Tintle, Dordt University
10:45 AM Multivariable Thinking in an Algebra-Based Second Course in Statistics
Karen J. McGaughey, Cal Poly State University; Todd Swanson, Hope College
11:05 AM Computational Skills for Multivariable Thinking in Introductory Statistics Presentation
Anny-Claude Joseph, United States Military Academy; Bryan Adams, United States Military Academy; Kevin Cummiskey, United States Military Academy; Daniel Baller, United States Military Academy; Bryan Jonas, United States Military Academy
11:25 AM Discussant: Megan E Mocko, University of Florida
11:45 AM Floor Discussion
 
 

457 * !
Thu, 8/6/2020, 10:00 AM - 11:50 AM Virtual
Transforming Your Stumbling Blocks into Stepping Stones — Topic Contributed Panel
Section on Statistical Consulting, Section on Statistics and Data Science Education, Section on Teaching of Statistics in the Health Sciences
Organizer(s): Douglas Zahn, Zahn and Associates
Chair(s): Eric Alfred Vance, University of Colorado Boulder
10:05 AM Transforming Your Stumbling Blocks into Stepping Stones
Panelists: Douglas Zahn, Zahn and Associates
Katherine T. Halvorsen, Smith College
Kathryn Hanford, University of Nebraska
Jason Wilson, Biola University
11:40 AM Floor Discussion
 
 

502
Thu, 8/6/2020, 10:00 AM - 2:00 PM Virtual
Learning Beyond the Introductory Statistics Classroom — Contributed Papers
Section on Statistics and Data Science Education
Chair(s): Amelia McNamara, University of St Thomas
Understanding P-Values Through Interactive Online Activities
Shonda Kuiper, Grinnell College
“Training Wheels” Vs “Racing Wheels” for the Pharmaceutical Industry Presentation
Yuting Tian, Vertex Pharmaceutical; Todd Case, Vertex Pharmaceutical
The Duke AI Health Data Science Fellowship Program: Training the Next Generation of Health Data Scientists Through Real World Experience
Lisa Wruck, Duke Clinical Research Institute; Robert Overton, Duke Clinical Research Institute; Silvana Lawvere, Duke Clinical Research Institute; Ricardo Henao, Duke Departments of Electrical and Computer Engineering / Biostatistics and Bioinformatics; David Page, Duke Department of Biostatistics and Bioinformatics; Michael Pencina, Duke School of Medicine; Lawrence Carin, Duke University
The Great P-Value Debate
Jennifer Broatch, Arizona State University
Teaching Data Science with JupyterLab
Brian Gaines, SAS Institute
Integrating Data Science and Social Science in Workforce Development
Brian Kim, University of Maryland; Frauke Kreuter, University of Maryland, University of Mannheim & IAB; Julia Lane, New York University; Rayid Ghani, Carnegie Mellon University
Statistics (And Data Science) as Presented in the Classification of Instructional Program (CIP)
John McKenzie, Babson College
 
 

514
Thu, 8/6/2020, 12:00 PM - 1:00 PM Virtual
Section on Statistics and Data Science Education P.M. Roundtable Discussion — Roundtables PM Roundtable Discussion
Section on Statistics and Data Science Education
RL08: Supporting Underrepresented Minority and First Generation Students in STEM
Shurong Fang, John Carroll University
 
 

536
Thu, 8/6/2020, 1:00 PM - 2:50 PM Virtual
Teaching Focused Careers in Colleges, Universities, and Industry — Invited Panel
Section on Statistics and Data Science Education, Committee on Career Development
Organizer(s): Mine Dogucu, University of California Irvine
Chair(s): Beth L. Chance, Cal Poly - San Luis Obispo
1:05 PM Teaching Focused Careers in Colleges, Universities, and Industry Presentation
Panelists: Mine Dogucu, University of California Irvine
Garrett Grolemund, RStudio
Rebecca Nugent, Carnegie Mellon University
Katie St. Clair, Carleton College
2:40 PM Floor Discussion
 
 

551 !
Thu, 8/6/2020, 1:00 PM - 2:50 PM Virtual
Balderdash, Codswallop, and Malarkey — Topic Contributed Panel
Section on Statistics and Data Science Education
Organizer(s): Robert H Carver, Stonehill College & Brandeis University
Chair(s): Robert H Carver, Stonehill College & Brandeis University
1:05 PM Ten simple rules for integrating ethics into statistics and data science instruction
Panelists: William Cipolli, Colgate University
Diane Evans, Rose-Hulman Institute of Technology
David J Corliss, Fiat Chrysler Automobiles (FCA) / Founder and Director, Peace-Work
Jonathan Auerbach, Columbia University
Rochelle E Tractenberg, Georgetown University Medical Center
Suzanne Thornton, Swarthmore College
2:40 PM Floor Discussion
 
 

553 * !
Thu, 8/6/2020, 3:00 PM - 4:50 PM Virtual
Improving Patient Care Through Personalized/Stratified Medicine: Modern Data Science and Perspectives from Pharmaceutical Industry Leads and Regulatory — Invited Papers
Biopharmaceutical Section, Section on Statistical Learning and Data Science, Section on Statistics and Data Science Education
Organizer(s): Wen Li, Merck
Chair(s): Ilya Lipkovich, Eli LIlly and Company
3:05 PM Machine Learning, AI and Personalized Intervention
Haoda Fu, Eli Lilly and Company
3:30 PM Pruned Targeted-Learning for Personalized Medicine
Yixin Fang, AbbVie Inc.
3:55 PM PRISM: Patient Response Identifiers for Stratified Medicine
Thomas Jemielita, Merck & Co., Inc; Devan Mehrotra, Merck
4:20 PM Discussant: Maria Matilde S. Kam, OTS/CDER, FDA
4:45 PM Floor Discussion
 
 

566 * !
Thu, 8/6/2020, 3:00 PM - 4:50 PM Virtual
Teaching Data Science for Good: How University-Based Initiatives Are Shaping Future Statisticians’ Societal Impact — Invited Papers
Section on Statistical Consulting, Social Statistics Section, Section on Statistics and Data Science Education
Organizer(s): Emily L Morris, Department of Biostatistics, University of Michigan
Chair(s): Emily L Morris, Department of Biostatistics, University of Michigan
3:05 PM Data for Good in Your Neighborhood: How Graduate Students and Local Communities Benefit from Collaborative Partnerships Presentation
Stephen Salerno, University of Michigan
3:35 PM "Data for Good" at Columbia's Data Science Institute
Tian Zheng, Columbia University
4:05 PM Data Science Education as an Economic and Public Health Intervention: How (Bio)Statisticians Can Lead Change in the World
Jeff Leek, Johns Hopkins Bloomberg School of Public Health
4:35 PM Floor Discussion
 
 

589 *
Thu, 8/6/2020, 3:00 PM - 4:50 PM Virtual
Characteristics of a Successful Biostatistics Summer Internship Program — Topic Contributed Panel
Section on Teaching of Statistics in the Health Sciences, Section on Statistics and Data Science Education
Organizer(s): Constantine Daskalakis, Thomas Jefferson University
Chair(s): Brian Millen, Eli Lilly and Company
3:05 PM Characteristics of a Successful Biostatistics Summer Internship Program
Panelists: Constantine Daskalakis, Thomas Jefferson University
William Scott Clark, Eli Lilly
Jacqueline Hicks, Boston University
Jayawant Mandrekar, Mayo Clinic
4:40 PM Floor Discussion