Name: 2020 Joint Statistical Meetings
Start: 2020-08-02T07:00:00+00:00
End: 2020-08-06

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* = 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

JSM 2020 Online Program

Activity Details

American Statistical Association