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All Times EDT

Legend:
* = applied session       ! = JSM meeting theme

Activity Details


44 * !
Sun, 8/8/2021, 3:30 PM - 5:20 PM Virtual
Creating Data for Good (D4G) Programs: Roadmap and Research Highlights — Invited Panel
Social Statistics Section, Section on Statistics and Data Science Education, Section on Statistical Learning and Data Science, Caucus for Women in Statistics
Organizer(s): Gizem Korkmaz, University of Virginia; Sarah Stone, eScience Institute & UW Data Science for Social Good (DSSG)
Chair(s): Gizem Korkmaz, University of Virginia
3:35 PM Creating Data for Good (D4G) Programs: Roadmap and Research Highlights
Panelists: Sarah Stone, eScience Institute & UW Data Science for Social Good (DSSG)
Dan Richard, University of North Florida
Chiara Sabatti, Stanford University
Cassandra Dorius, Iowa State University
Kit Rodolfa, Carnegie Mellon University
Dharma Dailey, University of Washington
5:10 PM Floor Discussion
 
 

85 *
Mon, 8/9/2021, 10:00 AM - 11:50 AM Virtual
Challenging Collaborations and Lessons Learned — Topic-Contributed Panel
Section on Statistical Consulting, Section on Statistics and Data Science Education, Section on Statistical Learning and Data Science, Caucus for Women in Statistics
Organizer(s): Harry Dean Johnson, Washington State University
Chair(s): Steve Simon, P. Mean Consulting
10:05 AM Challenging Collaborations and Lessons Learned
Panelists: Manisha Desai, Departments of Medicine and Biomedical Data Science Stanford University
Elaine Eisenbeisz, OMEGA STATISTICS
Kim Love, K. R. Love QCC
Clark Kogan, Washington State University
NAYAK L POLISSAR, The Mountain-Whisper-Ligtht: Statistics & Data Science
11:40 AM Floor Discussion
 
 

109 *
Mon, 8/9/2021, 1:30 PM - 3:20 PM Virtual
Developing and Maintaining Open Source Resources for Statistics and Data Science Education — Invited Papers
Section on Statistics and Data Science Education, Caucus for Women in Statistics, Section on Statistical Computing, Section on Teaching of Statistics in the Health Sciences
Organizer(s): Mine Cetinkaya-Rundel, University of Edinburgh, Duke University, RStudio
Chair(s): Maria Tackett, Duke University
1:35 PM Teaching Data Science Authentically Using Open Source Educational Resources
Tiffany Anne Timbers, University of British Columbia
2:00 PM Creative Contributions and Activities for Student Engagement and Learning in Data Science Education
Allison Horst, UC Santa Barbara
2:25 PM OpenIntro: Building, Sustaining, Supporting, and Growing Open-Source Educational Resources
Mine Cetinkaya-Rundel, University of Edinburgh, Duke University, RStudio
2:50 PM Discussant: Stephanie C Hicks, Johns Hopkins Bloomberg School of Public Health
3:10 PM Floor Discussion
 
 

129 * !
Mon, 8/9/2021, 1:30 PM - 3:20 PM Virtual
Engaging Minority and Underserved Populations in Health Science: Education and Training for Careers in Statistics and Data Science — Topic-Contributed Panel
Section on Teaching of Statistics in the Health Sciences, Section on Statistical Learning and Data Science, Section on Statistics and Data Science Education
Organizer(s): Madhu Mazumdar, Icahn School of Medicine at Mount Sinai
Chair(s): Madhu Mazumdar, Icahn School of Medicine at Mount Sinai
1:35 PM Engaging Minority and Underserved Populations in Health Science: Education and Training for Careers in Statistics and Data Science
Panelists: Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
Melanie Besculides , Icahn School of Medicine at Mount Sinai
Veyom Bahl, Robin Hood Foundation
Vivian Zhang, NYC Data Science Academy
Doreen Thomann-Howe, New York City Department of Family Services
3:15 PM Floor Discussion
 
 

159 * !
Tue, 8/10/2021, 10:00 AM - 11:50 AM Virtual
Teaching Undergraduates and High-School Students to Analyze Time Series Data — Topic-Contributed Papers
Section on Statistics and Data Science Education, Section on Statistics and the Environment, Section on Medical Devices and Diagnostics, Section on Teaching of Statistics in the Health Sciences
Organizer(s): Juana Sanchez, UCLA
Chair(s): Jeff Witmer, Oberlin College and Conservatory
10:05 AM Time Series: Its Place in the Secondary School Curriculum
Rachel Passmore, University of Auckland
10:25 AM Long-Term and Seasonal Trends of Wastewater Chemicals in Lake Mead: An Introduction to Time Series Decomposition
Rich Wildman, Geosyntec Consultants
10:45 AM CGM and Insulin Pump Data to Introduce Classical and Machine Learning Time Series Analysis Concepts to Students.
Juana Sanchez, UCLA
11:05 AM Discussant: Vera Ioudina, Texas State University
11:25 AM Floor Discussion
 
 

162 * !
Tue, 8/10/2021, 10:00 AM - 11:50 AM Virtual
Electronic Assessment of Introductory Analytics/Stat Courses: Getting the Right Answer — Topic-Contributed Panel
Business Analytics/Statistics Education Interest Group, Section on Statistics and Data Science Education
Organizer(s): George Recck, Babson College
Chair(s): Amy L Phelps, Duquesne University
10:05 AM Electronic Assessment of Introductory Analytics/Stat Courses: Getting the Right Answer
Panelists: John Draper, The Ohio State University
Scott Toney, Denver University
Beverly Wood, Embry-Riddle Aeronautical University
George Recck, Babson College
11:40 AM Floor Discussion
 
 

194 * !
Tue, 8/10/2021, 1:30 PM - 3:20 PM Virtual
Building and Implementing an Effective Quantitative Sciences Internship Program for Undergraduate Students — Invited Panel
Section on Statistical Consulting, International Indian Statistical Association, Section on Statistics and Data Science Education, Section on Teaching of Statistics in the Health Sciences
Organizer(s): Kay See Tan, Memorial Sloan Kettering Cancer Center
Chair(s): Sujata Patil, Cleveland Clinic
1:35 PM Building and Implementing an Effective Quantitative Sciences Internship Program for Undergraduate Students
Panelists: Kay See Tan, Memorial Sloan Kettering Cancer Center
Justine Herrera, Columbia University
Nathan Tintle, Dordt University
Heather Mattie, Harvard University
Alisa Stephens-Shields, University of Pennsylvania
3:15 PM Floor Discussion
 
 

206 * !
Tue, 8/10/2021, 1:30 PM - 3:20 PM Virtual
A Smorgasbord of Data Visualization Methods and Best Practices Across Projects, Topics, Tools, and Audiences — Topic-Contributed Panel
Section on Statistical Graphics, Social Statistics Section, Section on Statistics and Data Science Education
Organizer(s): Nola du Toit, NORC at the University of Chicago
Chair(s): Nola du Toit, NORC at the University of Chicago
1:35 PM A Smorgasbord of Data Visualization Methods and Best Practices Across Projects, Topics, Tools, and Audiences
Panelists: Rene Bautista, NORC at the University of Chicago
Kiegan Rice, NORC at the University of Chicago
Peter Herman, NORC at the University of Chicago
Patrick Coyle, NORC at the University of Chicago
3:15 PM Floor Discussion
 
 

222 * !
Wed, 8/11/2021, 10:00 AM - 11:50 AM Virtual
Teaching and Learning During COVID — Invited Papers
Section on Statistics and Data Science Education, Caucus for Women in Statistics, Section on Teaching of Statistics in the Health Sciences
Organizer(s): Anna Emilia Bargagliotti, Loyola Marymount University
Chair(s): Christine Franklin, American Statistical Association
10:05 AM Teaching and Learning During COVID
Suyen Machado, UCLA Center X
10:20 AM How COVID-19 Changed My Teaching ... for the Better! Presentation
Kari Lock Morgan, Pennsylvania State University
10:35 AM Teaching and Learning During COVID
Anna Emilia Bargagliotti, Loyola Marymount University
10:50 AM Statistics in the Uncertainty of Coronavirus
Amy Hogan, Brooklyn Technical High School
11:05 AM Online Environments for Preparing Teachers to Teach Data and Statistics
Hollylynne S. Lee, NC State University
11:20 AM Pivoting in a Time of Pandemic: Lessons Learned from Two-Year Colleges
Rebecca Wong, West Valley College
11:35 AM Synchronous vs. Asynchronous Connections and Learning
Johanna Hardin, Pomona College
 
 

287
Wed, 8/11/2021, 1:30 PM - 3:20 PM Virtual
Classroom Teaching and Pedagogy — Contributed Speed
Section on Statistics and Data Science Education, Section on Teaching of Statistics in the Health Sciences, Text Analysis Interest Group
Chair(s): Jamis Perrett, Bayer U.S.
1:35 PM Statistical Literacy Approved for General Education at the University of New Mexico
Milo Schield, University of New Mexico
1:40 PM R Is for Rhyme? Statistics Class 'Stanza Part' with Poetry!
Lawrence Mark Lesser, The University of Texas at El Paso
1:45 PM Alpha Seminar: A Course for New Graduate Students in Statistics
Christopher R Bilder, University of Nebraska-Lincoln
1:50 PM 'Quick Quizzes': A Simple Yet Powerful Learning Tool
Elizabeth Jennings McGuffey, Rice University
1:55 PM Encouraging and Enhancing the Power of Growth Mindset in Statistics Education
Ramadha Piyadi Gamage, Western Washington University - Mathematics
2:00 PM Incorporating Your Own Research in an Introductory Statistics Courses: A Case Study with Podcasts, Web Scraping, and Natural Language Processing
Benjamin Williams, University of Denver; Alyssa Williams, University of Denver
2:05 PM Resources for Teaching Causality in Introductory Statistics Courses
Kevin Cummiskey, West Point; Krista Watts, West Point; Robert Lasater, West Point
2:10 PM WITHDRAWN A Comparison of Online Versus In-Person Examination During the COVID-19 Pandemic
Jeffrey Landgren, University of North Georgia
2:15 PM Education and Pedagogy of Domain-Specific Learning Materials Using Learning Personas
Daniel Chen, Virginia Tech; Anne Brown, Virginia Tech
2:20 PM From Click to Code: Insights from Instructors and Students on Moving from SPSS to R in a Graduate-Level Applied Statistics Course
Anthony Schmidt, University of Tennessee, Knoxville; Louis M Rocconi, University of Tennessee, Knoxville; Austin Boyd, University of Tennessee, Knoxville
2:30 PM Ideas Toward Inclusion: Course Policies, Daily Questions, Biographies
Matthew A Hawks, US Naval Academy
2:35 PM Using Randomized Experiments and Common Midterm Questions to Elucidate Student Learning Trajectories from Simulation-Based Inference Curricula
Beth Chance, Cal Poly - San Luis Obispo; Soma Roy, Cal Poly - San Luis Obispo; Karen McGaughey, Cal Poly - San Luis Obispo; Nathan Tintle, Dordt University; Todd Swanson, Hope College; Jill VanderStoep, Hope College
2:40 PM A Second Course in Data Science
Rosanna Overholser, Oregon Institute of Technology; Cristina Negoita, Oregon Institute of Technology
2:45 PM How to Implement and Assess Open-Ended Projects in an Introductory Statistics Classroom Presentation
Allison Davidson, Muhlenberg College
2:50 PM Strategies for Teaching Methods for Analyzing Data and the Necessary Computer-Based Programming to MPH Students
Amanda Rae Ellis, University of Kentucky
2:55 PM Building and Using Interactive R Tutorials: Experiences from a Categorical Data Analysis Course for Public Health Students
Adam Ciarleglio, George Washington University
3:00 PM Asking Great Questions: Part of a Theory of Communication in Interdisciplinary Collaborations
Eric Alan Vance, LISA-University of Colorado Boulder; Heather Smith, Cal Poly, San Luis Obispo
3:10 PM Incorporating Statistical Consulting in the Undergraduate Curriculum
Wanchunzi Yu, Bridgewater State University; Kevin Rion, Bridgewater State University; Irina Seceleanu, Bridgewater State University
3:15 PM Can Students Learn Statistics While Playing Games? A Regression Example
Ginger Holmes Rowell, Middle Tennessee State University; Shonda Kuiper, Grinnell College; Rodney Sturdivant, Baylor; Andrew Zieffler, University of Minnesota
 
 

330 !
Thu, 8/12/2021, 10:00 AM - 11:50 AM Virtual
R.A. Fisher and Eugenics — Invited Papers
History of Statistics Interest Group, Committee on Minorities in Statistics, Section on Statistics and Data Science Education
Organizer(s): Jana Lynn Asher, Slippery Rock University
Chair(s): Ronald Wasserstein, American Statistical Association
10:05 AM Delivering on Our Stated Justice, Equity, Diversity, and Inclusion Goals
Adrian Coles, Bristol Myers Squibb
10:30 AM R.A. Fisher and Eugenics: A Historical Overview Presentation
Jana Lynn Asher, Slippery Rock University
10:55 AM Teaching About Fisher: Elucidating the Difficult Past of Statistics to Improve the Future Presentation
Lee Kennedy-Shaffer, Vassar College
11:20 AM Discussant: Theodore Porter, UCLA
11:40 AM Floor Discussion
 
 

339 * !
Thu, 8/12/2021, 10:00 AM - 11:50 AM Virtual
Using Sports Analytics to Inspire Student Interest in Statistics and Storytelling with Data — Invited Panel
Section on Statistics in Sports, Section on Statistics and Data Science Education, Mathematical Association of America
Organizer(s): Brian Macdonald, ESPN
Chair(s): Gregory Matthews, Loyola University Chicago
10:05 AM Using Sports Analytics to Inspire Student Interest in Statistics and Storytelling with Data
Panelists: Michael Schuckers, St. Lawrence University
Rebecca Nugent, Carnegie Mellon University
Asmae Toumi, hockey-graphs.com
Tim Swartz, Simon Fraser University
11:40 AM Floor Discussion
 
 

353
Thu, 8/12/2021, 10:00 AM - 11:50 AM Virtual
Research and Educational Tools — Contributed Speed
Section on Statistics and Data Science Education, Section on Teaching of Statistics in the Health Sciences
Chair(s): Elizabeth Jennings McGuffey, Rice University
10:05 AM A Least Deviation Estimation Approach for the Analysis of Variance Models
Mian Arif Shams Adnan, Bowling Green State University; Md Shamsuddin, Dhaka
10:10 AM The Taxonomy of Statistical Sins: A Tool for Learning and Teaching Applied Statistics
David Anthony Buch, Duke University; Amy H Herring, Duke University ; David Dunson, Duke University
10:15 AM Modeling Relative Sophistication of Problem-Solving Strategies in Early Mathematics: A Novel Hurdle Ordinal Logit Approach
Carson L Keeter, University of Wyoming; Pavel Chernyavskiy, University of Virginia; Traci Shizu Kutaka, University of Denver; Douglas H Clements, University of Denver; Julie Sarama, University of Denver
10:20 AM Network Analysis of Peer Collaborations in Undergraduate Statistical Courses
Natallia Katenka, Department of Computer Science and Statistics, University of Rhode Island; Isabel Novinowski, CVS Health; Ashley Buchanan, College of Pharmacy, University of Rhode Island
10:25 AM Survey of Probability Attitudes
Elizabeth Willow Eisenhauer, Pennsylvania State University; Matthew Beckman, Penn State University; Ephraim Hanks, Penn State University
10:30 AM Attitude Toward Statistics Among Elementary Statistics Students
Ananda Jayawardhana, Pittsburg State University
10:35 AM Why Do We Need Yet ANOTHER Instrument Measuring Student Attitudes? Presentation
Alana Unfried, California State University, Monterey Bay; Michael Posner, Villanova University; Marjorie Bond, Monmouth College; April Kerby-Helm, Winona State University; Wendine Bolon, Monmouth College; Douglas Whitaker, Mount Saint Vincent University; Leyla Batakci, Elizabethtown College
10:40 AM Analytics Jobs Survived and, Later, Thrived During the Pandemic Presentation
Jacqueline Johnson, SAS Institute; Jonathan Duggins, North Carolina State University
10:45 AM The War on Statistical Significance: The American Statistician vs. The New England Journal of Medicine
Donald B. Macnaughton, MatStat Research Consulting
10:50 AM An Integrative Learning Experience with Qwixx: Play, Probability, Partnership, Planning, and Programming
Ryan Patrick Alexander McShane, Amherst College; Amy Elizabeth Nussbaum, Mount Holyoke College
11:00 AM Creating a Diverse Workforce in Biomedical Data Science: Implementation and Impact of Best Practices
Judith Elena Canner, California State University, Monterey Bay
11:05 AM Stories of Statistics Graduates: Results of an Alumni Survey
Lisa W. Kay, Eastern Kentucky University; Michelle Smith, Eastern Kentucky University; Atilla Sit, University of the Sciences
11:10 AM Integrating Computation in Statistics: Instructional Decisions for Teaching R Presentation
Amelia McNamara, University of St Thomas; Matthew Beckman, Penn State University; Chelsey Legacy, University of Minnesota; Andrew Zieffler, University of Minnesota; Robert delMas, University of Minnesota; Vimal Rao, University of Minnesota
11:15 AM The Importance of Good Coding Practices for Data Scientists
Maria-Cristiana Girjau, Amherst College; Randall Pruim, Calvin University; Nicholas Horton, Amherst College
11:20 AM The Rose Garden Event: A Hierarchical Bayesian Approach to Modeling Positive Coronavirus Tests
Jedidiah Harwood, CSU East Bay; Eric A. Suess, CSU East Bay
11:25 AM Math as the Ideal Means of Discerning Stories in Abstract Models and Simulation as the Ideal Choice of Math to Saliently Tell Those Stories to Yourself and Others Presentation
Keith O'Rourke, Health Canada
11:30 AM Rapid Population Simulation and Sampling with StatPowers.Com Presentation
Brian Powers, Arizona State University
11:35 AM COVID-19 Impact on College Admissions and High-School Seniors’ Well-Being
Joshua H Lo, Northeastern University; Florence Yong, Pfizer Inc.
11:40 AM A Method for Student Presentations and Peer Review in an Asynchronous Online Format
Brandon George, Thomas Jefferson University
 
 

365
Thu, 8/12/2021, 12:00 PM - 1:50 PM Virtual
Memorial Session for George W. Cobb — Invited Papers
Memorial, History of Statistics Interest Group, Section on Statistics and Data Science Education
Organizer(s): Allan Rossman, Cal Poly
Chair(s): Allan Rossman, Cal Poly
12:05 PM George Cobb’s Contributions to Statistics Education for Introductory Students
Nathan Tintle, Dordt University
12:15 PM George Cobb’s Contributions to Statistics Education as a Visiting Scholar
Lisa W. Kay, Eastern Kentucky University
12:25 PM George Cobb’s Contributions to Statistics Education at Liberal Arts Colleges
Jeff Witmer, Oberlin College and Conservatory
12:35 PM George Cobb’s Contributions to Statistics Education at Mount Holyoke College
Michael Lopez, National Football League/Skidmore College
12:45 PM George Cobb’s Contributions to Statistics Education for Undergraduates Presentation
Nicholas Horton, Amherst College
12:55 PM Floor Discussion
 
 

371 *
Thu, 8/12/2021, 12:00 PM - 1:50 PM Virtual
Strategies for Staying Current: Upskilling Statisticians in the Age of Data Science — Invited Panel
Section on Statistics and Data Science Education, Mu Sigma Rho
Organizer(s): Lisa W. Kay, Eastern Kentucky University
Chair(s): Mine Çetinkaya-Rundel, Duke University/University of Edinburgh
12:05 PM Strategies for Staying Current: Upskilling Statisticians in the Age of Data Science
Panelists: Hunter Glanz, Cal Poly—San Luis Obispo
Christopher Malone, Winona State University
Deborah Nolan, UC Berkeley
Joan Combs Durso, Duke University
1:40 PM Floor Discussion
 
 

430 * !
Thu, 8/12/2021, 4:00 PM - 5:50 PM Virtual
Infusing Data Ethics into the Development of Data Users — Invited Panel
Section on Statistics and Data Science Education, Section on Statistical Learning and Data Science, Committee on Professional Ethics
Organizer(s): Tyler Kloefkorn, National Academies of Sciences, Engineering, and Medicine
Chair(s): Nicholas Horton, Amherst College
4:05 PM Infusing Data Ethics into the Development of Data Users
Panelists: Susan Winter, University of Maryland
Michael Kalichman, University of California San Diego
Ben Baumer, Smith College
Anne Washington, New York University Steinhardt School
Natalie Evans Harris, Harris Data Consulting
5:45 PM Floor Discussion