Conference Program Home
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All Times EDT

Legend:
CC = Walter E. Washington Convention Center   M = Marriott Marquis Washington, DC
* = applied session       ! = JSM meeting theme

Activity Details


2 * !
Sun, 8/7/2022, 2:00 PM - 3:50 PM CC-202A
Emerging Methods in Quantum Computing, Quantum Information, and Quantum Statistical Learning — Invited Papers
Section on Statistical Computing, Section on Statistical Learning and Data Science, Section on Statistics and Data Science Education
Organizer(s): Ping Ma, University of Georgia
Chair(s): Ping Ma, University of Georgia
2:05 PM Wavelet Matrix Operations and Quantum Transforms
Zhiguo Zhang, University of Electronic Science and Technology of China; Mark Kon, Boston University
2:35 PM Statistical Computing Meets Quantum Computing
Wenxuan Zhong, University of Georgia; Yuan Ke, University of Georgia; Ping Ma, University of Georgia
3:05 PM The Role of Statistics in Quantum Computation and Quantum Information
Yazhen Wang, University of Wisconsin-Madison
3:25 PM Floor Discussion
 
 

26 * !
Sun, 8/7/2022, 2:00 PM - 3:50 PM CC-154B
Perspectives on Nontraditional Grading in Statistics Courses — Topic Contributed Panel
Section on Statistics and Data Science Education, Justice Equity Diversity and Inclusion Outreach Group
Organizer(s): Jillian Downey, Gustavus Adolphus College
Chair(s): Brenna Curley, Moravian University
2:05 PM Perspectives on Nontraditional Grading in Statistics Courses
Panelists: Eric Reyes, Rose-Hulman Institute of Technology
Adam Loy, Carleton College
Jillian Downey, Gustavus Adolphus College
Katherine Kinnaird, Smith College
3:40 PM Floor Discussion
 
 

27
Sun, 8/7/2022, 2:00 PM - 3:50 PM CC-140A
SPEED: Statistical Learning and Data Challenge Part 1 — Contributed Speed
Section on Statistical Learning and Data Science, Section on Bayesian Statistical Science, Section on Statistics and Data Science Education
Chair(s): Dena M Asta, The Ohio State University
2:05 PM Understanding Changes of Racial and Ethnic Representation in Homeowners and US Post-Secondary Institutions
Jhonatan Jorge Medri Cobos, University of South Florida; Tejasvi Channagiri, University of South Florida
2:10 PM Examining Relationships Between Household Conditions and Educational Outcomes at the District Level
Erin Walker Post, The University of Iowa
2:15 PM Public Transit Policies to Promote Equitable Urban Mobility
Jenny Y Huang, Duke University; Gaurav Rajesh Parikh, Duke Kunshan University; Albert Sun, Duke University
2:20 PM LinCDE: Conditional Density Estimation via Lindsey's Method
Zijun Gao, Stanford University; Trevor Hastie, Stanford University
2:25 PM Quantifying Estimation Error of Nonlinear Kalman-Type Filters
Shihong Wei, The Johns Hopkins University; James Spall, The Johns Hopkins University
2:30 PM Random Forest for Individualized Treatment Regimes in Observational Student Success Studies
Juanjuan Fan, San Diego State University; Luo Li, San Diego State University; Richard A Levine, San Diego State University
2:35 PM Stochastic Gradient Descent for Estimation and Inference in Spatial Quantile Models
Gan Luan, New Jersey Institute of Technology; Jimeng Loh, NJIT
2:40 PM Popularity Adjusted Block Models Are Generalized Random Dot Product Graphs
John Koo, Indiana University; Minh Tang, North Carolina State University; Michael Trosset, Indiana University
2:50 PM Extrapolation Control Using K-Nearest Neighbors
Kasia Dobrzycka, North Carolina State University; Jonathan Stallrich, North Carolina State University; Christopher M. Gotwalt, SAS Institute
2:55 PM A Continual Learning Framework for Adaptive Defect Classification and Inspection
Wenbo Sun, University of Michigan Transportation Research Institute; Raed Al Kontar, University of Michigan; Judy Jin, University of Michigan; Tzyy-Shuh Chang, OG Technology
3:00 PM HODOR: A Two-Stage Hold-Out Design for Online Controlled Experimentation on Networks
Nicholas Alfredo Larsen, North Carolina State University; Jonathan Stallrich, North Carolina State University; Srijan Sengupta, NCSU
3:05 PM Utilizing Open Source Resources to Teach Introductory Data Science
Tyler George, Cornell College
3:10 PM Fast Bayesian Estimation for Ranking Models
Michael Pearce, University of Washington
3:15 PM Diversity in Project-Based Learning Strategy in Undergraduate Statistics Education
Shurong Fang, John Carroll University; Lisa Dierker, Wesleyan University
3:20 PM Incorporating Cultural Context in Statistics Courses Through Presentation of Music Videos Before Class
Thomas R. Belin, UCLA Department of Biostatistics
3:25 PM Boosting Students' Programming Interest Using an R Shiny Web App Rstats in Introductory Statistics Courses
Xuemao Zhang, East Stroudsburg University
3:30 PM Student Perceptions on Reproducible Research in Introductory and Advanced Statistics Courses
Nicholas W Bussberg, Elon University
3:35 PM Changes in Undergraduate Attitudes Towards Statistics After Working as Statistical Consultants
Tracy Morris, University of Central Oklahoma; Tyler Cook, University of Central Oklahoma; Cynthia Murray, University of Central Oklahoma
3:40 PM Floor Discussion
 
 

49 * !
Sun, 8/7/2022, 4:00 PM - 5:50 PM CC-149AB
Professional Strategies in Statistics: Mentoring Students for Professional Success — Invited Panel
Caucus for Women in Statistics, Justice Equity Diversity and Inclusion Outreach Group, Section on Statistics and Data Science Education
Organizer(s): Julia L Sharp, Colorado State University
Chair(s): Julia L Sharp, Colorado State University
4:05 PM Professional Strategies in Statistics: Mentoring Students for Professional Success
Panelists: Brittney Bailey, Amherst College
Emily H Griffith, North Carolina State University
Jo Hardin, Pomona College
Renee Moore, Drexel University
Venessa Singhroy, Queensborough Community College
5:40 PM Floor Discussion
 
 

68
Sun, 8/7/2022, 4:00 PM - 5:50 PM CC-204C
Fostering Growth in Data Science and Analytics — Contributed Papers
Section on Statistics and Data Science Education
Chair(s): Joan Combs Durso, Duke University
4:05 PM Developing a Learning Map for Introductory Statistics
Jennifer Kaplan, Middle Tennessee State University; Angela Broaddus, Benedictine College; Dionne Maxwell, Walton School District; Heidi Hulsizer, Benedictine College
4:20 PM Effective Mentoring: A Guideline to Train a New Generation of Statistician
Suhwon Lee, University of Missouri
4:35 PM The Importance of Workflow as a Topic in Data Science Education
Hunter Glanz, California Polytechnic State University
4:50 PM Growth in Analytics Jobs in the Last One, Two, and Four Years
Jacqueline Johnson, SAS Institute
5:05 PM Lessons from Creating a New Analytics Major and a Lynchpin Course During a Pandemic
Penelope S. Pooler Eisenbies, Syracuse University
5:20 PM Analytics for the Masses: Teaching Data Science Driving vs. Data Science Engineering
Thomas Fisher, The University of Miami - Ohio; A. John Bailer, Miami University
5:35 PM Using Six Sigma to Increase a College Campus's COVID-19 Daily Symptom Monitoring
Diane Evans, Rose-Hulman Institute of Technology; Megan Korbel, Milwaukee Tool
 
 

72
Sun, 8/7/2022, 4:00 PM - 4:45 PM CC-Hall D
SPEED: Statistical Learning and Data Challenge Part 2 — Contributed Poster Presentations
Section on Statistical Learning and Data Science, Section on Bayesian Statistical Science, Section on Statistics and Data Science Education
Chair(s): Dena M Asta, The Ohio State University
01: Understanding Changes of Racial and Ethnic Representation in Homeowners and US Post-Secondary Institutions
Jhonatan Jorge Medri Cobos, University of South Florida; Tejasvi Channagiri, University of South Florida
02: Examining Relationships Between Household Conditions and Educational Outcomes at the District Level
Erin Walker Post, The University of Iowa
03: Public Transit Policies to Promote Equitable Urban Mobility
Jenny Y Huang, Duke University; Gaurav Rajesh Parikh, Duke Kunshan University; Albert Sun, Duke University
04: Are There Home Affordability Hot Spots in the United States?
Dane Korver, NC State University; Maegan Frederick, NC State University; Fang Wu, NC State University
05: LinCDE: Conditional Density Estimation via Lindsey's Method
Zijun Gao, Stanford University; Trevor Hastie, Stanford University
06: Quantifying Estimation Error of Nonlinear Kalman-Type Filters
Shihong Wei, The Johns Hopkins University; James Spall, The Johns Hopkins University
07: Random Forest for Individualized Treatment Regimes in Observational Student Success Studies
Juanjuan Fan, San Diego State University; Luo Li, San Diego State University; Richard A Levine, San Diego State University
08: Stochastic Gradient Descent for Estimation and Inference in Spatial Quantile Models
Gan Luan, New Jersey Institute of Technology; Jimeng Loh, NJIT
09: Popularity Adjusted Block Models Are Generalized Random Dot Product Graphs
John Koo, Indiana University; Minh Tang, North Carolina State University; Michael Trosset, Indiana University
10: Extrapolation Control Using K-Nearest Neighbors
Kasia Dobrzycka, North Carolina State University; Jonathan Stallrich, North Carolina State University; Christopher M. Gotwalt, SAS Institute
11: Changes in Undergraduate Attitudes Towards Statistics After Working as Statistical Consultants
Tracy Morris, University of Central Oklahoma; Tyler Cook, University of Central Oklahoma; Cynthia Murray, University of Central Oklahoma
12: A Continual Learning Framework for Adaptive Defect Classification and Inspection
Wenbo Sun, University of Michigan Transportation Research Institute; Raed Al Kontar, University of Michigan; Judy Jin, University of Michigan; Tzyy-Shuh Chang, OG Technology
13: HODOR: A Two-Stage Hold-Out Design for Online Controlled Experimentation on Networks
Nicholas Alfredo Larsen, North Carolina State University; Jonathan Stallrich, North Carolina State University; Srijan Sengupta, NCSU
14: Utilizing Open Source Resources to Teach Introductory Data Science
Tyler George, Cornell College
15: Fast Bayesian Estimation for Ranking Models
Michael Pearce, University of Washington
16: Diversity in Project-Based Learning Strategy in Undergraduate Statistics Education
Shurong Fang, John Carroll University; Lisa Dierker, Wesleyan University
17: Incorporating Cultural Context in Statistics Courses Through Presentation of Music Videos Before Class
Thomas R. Belin, UCLA Department of Biostatistics
18: Boosting Students' Programming Interest Using an R Shiny Web App Rstats in Introductory Statistics Courses
Xuemao Zhang, East Stroudsburg University
19: Developing Data Science Skills Using Call of Duty Data
Matt Slifko, High Point University
20: Student Perceptions on Reproducible Research in Introductory and Advanced Statistics Courses
Nicholas W Bussberg, Elon University
 
 

92 * !
Mon, 8/8/2022, 8:30 AM - 10:20 AM CC-201
Teaching Social Justice Through Statistics and Biostatistics: The Case for a DEI-Infused Curriculum — Invited Papers
Section on Teaching of Statistics in the Health Sciences, Justice Equity Diversity and Inclusion Outreach Group, Section on Statistics and Data Science Education, Caucus for Women in Statistics
Organizer(s): Rongwei (Rochelle) Fu (she/her/hers), School of Public Health, Oregon Health & Science University
Chair(s): Byung Park (he/him/his), Knight Cancer institute, Oregon Health & Science University
8:35 AM DEI Through Community-Engaged Learning
Jana Lynn Asher, Slippery Rock University
9:00 AM Using an Ethics Course as a Gateway to DEI Discussions in Biostatistics
Rebecca Roberts Andridge, The Ohio State University; Abigail Shoben, The Ohio State University
9:25 AM Incorporating Data Equity into Biostatistics Curriculum
Rongwei (Rochelle) Fu (she/her/hers), School of Public Health, Oregon Health & Science University ; Meike Niederhausen, OHSU-PSU School of Public Health; Janne Boone-Heinonen, OHSU-PSU School of Public Health; Byung Park (he/him/his), Knight Cancer institute, Oregon Health & Science University; Thuan Nguyen, Oregon Health Science University; Kelly Gonzales, OHSU-PSU School of Public Health; Amber Lin, Oregon Health & Science University; Jodi Lapidus, OHSU-PSU School of Public Health
9:50 AM Discussant: Scarlett (she/her/hers) L. Bellamy , Drexel University, Dornsife School of Public Health
10:10 AM Floor Discussion
 
 

129
Mon, 8/8/2022, 10:30 AM - 12:20 PM CC-154A
Improving Data Science Education Infrastructure at Community Colleges, Teaching, and Research Universities — Invited Panel
Section on Statistics and Data Science Education, Section on Teaching of Statistics in the Health Sciences, Council on Undergraduate Research, Caucus for Women in Statistics
Organizer(s): Mine Dogucu, University of California Irvine
Chair(s): Babak Shahbaba, University of California Irvine
10:35 AM Improving Data Science Education Infrastructure at Community Colleges, Teaching, and Research Universities
Panelists: Sam Behseta, California State University, Fullerton
Alex Franks, University of California, Santa Barbara
Mariam Salloum, University of California, Riverside
12:10 PM Floor Discussion
 
 

182 *
Mon, 8/8/2022, 2:00 PM - 3:50 PM CC-154B
Innovations on Teaching Design of Experiments: Active Learning, Data Science, and Computer-Generated Designs — Invited Panel
Section on Physical and Engineering Sciences, Quality and Productivity Section, Section on Statistics and Data Science Education, Caucus for Women in Statistics
Organizer(s): Byran J Smucker, Miami University
Chair(s): David J. Edwards, Virginia Commonwealth University
2:05 PM Innovative Experimental Design Education: Active Learning, Data Science, and Computer-Generated Designs
Panelists: Byran J Smucker, Miami University
Nathaniel Stevens, University of Waterloo
Jacqueline Asscher, Kinneret College on the Sea of Galilee
Alan Vasquez, UCLA
 
 

183 * !
Mon, 8/8/2022, 2:00 PM - 3:50 PM CC-154A
Fuzzy Clusters: Crossing Boundaries Between Non-Academic and Academic Domains — Invited Panel
ENAR, Section on Statistics and Data Science Education, Council of Emerging and New Statisticians (CENS), Caucus for Women in Statistics
Organizer(s): Arielle K Marks-Anglin, Mathematica Inc.
Chair(s): Arielle K Marks-Anglin, Mathematica Inc.
2:05 PM Fuzzy Clusters: Crossing Boundaries Between Non-Academic and Academic Domains
Panelists: Lorin Crawford, Brown University
Branko Miladinovic, Janssen Research & Development
Bonnie Shook-Sa, University of North Carolina - Chapel Hill
Sally C Morton, Arizona State University
Adam J Sullivan, Takeda Pharmaceuticals Company
3:40 PM Floor Discussion
 
 

187 *
Mon, 8/8/2022, 2:00 PM - 3:50 PM CC-143C
Theory and Methods for Building Successful Data Analyses — Topic Contributed Papers
Section on Statistics and Data Science Education, Business Analytics/Statistics Education Interest Group, Section on Statistical Consulting, Caucus for Women in Statistics
Organizer(s): Roger Peng, Johns Hopkins Bloomberg School of Public Health
Chair(s): Stephanie C Hicks, Johns Hopkins Bloomberg School of Public Health
2:05 PM Diagnosing Data Analytic Problems in the Classroom
Roger Peng, Johns Hopkins Bloomberg School of Public Health
2:25 PM Veridical Data Science: Highlighting the Role of Judgment Calls in Data Science Practice and Training
Rebecca Barter, University of California, Berkeley; Bin Yu, University of California, Berkeley
2:45 PM Design Thinking: Empirical Evidence for Six Principles of Data Analysis
Lucy D'Agostino McGowan, Wake Forest University
3:05 PM Optimizing for Impact: Defining Success in Exploratory Data Analysis
Caitlin Hudon, OnlineMedEd
3:25 PM Reproducibility: You Can Do Data Analysis Without it, but Should You?
Tiffany A Timbers, University of British Columbia
3:45 PM Floor Discussion
 
 

225 *
Tue, 8/9/2022, 8:30 AM - 10:20 AM CC-154B
Effective Reporting of Statistical Results by Consultants and Collaborators — Invited Panel
Section on Statistical Consulting, Section on Statistics and Data Science Education, International Association for Statistical Education
Organizer(s): Harry Dean Johnson, Washington State University
Chair(s): Steve Simon, P-Mean Consulting
8:35 AM Effective Reporting of Statistical Results by Consultants and Collaborators
Panelists: Elaine Eisenbeisz, Omega Statistics
Karen Grace-Martin, The Analysis Factor
Clark Kogan, StatsCraft LLC
Kim Love, QCC Quantitative Consulting and Collaboration
Nayak Polissar, The Mountain-Whisper-Light Statistics and Data Science
10:10 AM Floor Discussion
 
 

228 * !
Tue, 8/9/2022, 8:30 AM - 10:20 AM CC-152A
Promoting Diversity in Sports Analytics — Invited Panel
Section on Statistics in Sports, Section on Statistics and Data Science Education, Section on Statistical Learning and Data Science, Justice Equity Diversity and Inclusion Outreach Group
Organizer(s): Eric Gerber, CSU Bakersfield
Chair(s): Eric Gerber, CSU Bakersfield
8:35 AM Promoting Diversity in Sports Analytics
Panelists: Christien Wright, The Milwaukee Bucks
Sameer Deshpande, UW-Madison
Rebecca Nugent, CMU
Arielle Dror, Zelus Analytics
John Tobias, UNC Charlotte
10:10 AM Floor Discussion
 
 

272 *
Tue, 8/9/2022, 10:30 AM - 12:20 PM CC-204B
Approaches in Clustering for Analysis of Emerging Data Types — Topic Contributed Papers
Section on Statistical Learning and Data Science, Section on Statistics and Data Science Education, Section on Statistical Computing
Organizer(s): Tanzy Love, University of Rochester
Chair(s): Qiuyi Wu, University of Rochester
10:35 AM Transformation Mixture Modeling for Skewed Data Groups with Heavy Tails and Scatter
Xuwen Zhu, The University of Alabama; Volodymyr Melnykov, The University of Alabama; Yana Melnykov, The University of Alabama
10:55 AM Mixtures of Matrix Variate Contaminated Normal Distributions
Salvatore Daniele Tomarchio, University of Catania; Michael Gallaugher, Baylor University; Antonio Punzo, University of Catania; Paul David McNicholas, McMaster University
11:15 AM On Measuring Soft Agreement in Clustering
Jeffrey Andrews, University of British Columbia Okanagan; Ryan Browne, University of Waterloo; Chelsey Hvingelby, Concordia University
11:35 AM Uncovering Biological Heterogeneity via Clustering to Identify Gene Expression Networks and Patient Similarity Networks
Anjali Silva, University of Toronto
11:55 AM Discussant: Tanzy Love, University of Rochester
12:15 PM Floor Discussion
 
 

276 * !
Tue, 8/9/2022, 10:30 AM - 12:20 PM CC-151A
Transforming Higher Education to Achieve Equity — Topic Contributed Panel
Section on Statistics and Data Science Education, Justice Equity Diversity and Inclusion Outreach Group, Committee of Representatives to AAAS, ASA Caucus of Academic Representatives, Caucus for Women in Statistics
Organizer(s): Julia L Sharp, Colorado State University
Chair(s): Sastry Pantula, California State University - San Bernardino
10:35 AM Transforming Higher Education to Achieve Equity
Panelists: Julia L Sharp, Colorado State University
Shirley Malcom, AAAS
Abbe Herzig, TPSE
12:10 PM Floor Discussion
 
 

284
Tue, 8/9/2022, 10:30 AM - 12:20 PM CC-156
Assessment Tools in Statistics and Data Science Education — Contributed Papers
Section on Statistics and Data Science Education
Chair(s): Emily Slade, University of Kentucky
10:35 AM Three Cognitive Science Principles Every Stats Teacher Should Know
Ross Metusalem, JMP Statistical Discovery
10:50 AM I Love Data Science! Do My Students? Let’s Measure It!
Michael Posner, Villanova University; April Kerby-Helm, Winona State University; Alana Unfried, CSU Monterey Bay; Douglas Whitaker, Mount Saint Vincent University; Marjorie Bond, Monmouth College; Leyla Batakci, Elizabethtown College
11:05 AM Measuring Statistics and Data Science Attitudes: A Modern Approach, and Why You Should Get Involved
Alana Unfried, CSU Monterey Bay; Douglas Whitaker, Mount Saint Vincent University; Marjorie Bond, Monmouth College; Leyla Batakci, Elizabethtown College; April Kerby-Helm, Winona State University; Michael Posner, Villanova University
11:20 AM What Do Instructors Think About Teaching Statistics?
Marjorie Bond, Monmouth College; Leyla Batakci, Elizabethtown College; Michael Posner, Villanova University; Douglas Whitaker, Mount Saint Vincent University; April Kerby-Helm, Winona State University; Alana Unfried, CSU Monterey Bay
11:35 AM The Role of Context in Developing Statistics Assessment Items
Laura Ziegler, Iowa State University; Jennifer Kaplan, Middle Tennessee State University; Angela Broaddus, Benedictine College
11:50 AM Towards a Data Science Competency Framework for Teaching Future Employees of Official Statistics
Monika Rozkrut, University of Szczecin; Malgorzata Ludmi?a Tarczynska-Luniewska, University of Szczecin; Dominik Antoni Rozkrut, Statistics Poland
12:05 PM Tensions in Student Thinking About Statistical Design
Kelly Findley, University of Illinois at Urbana-Champaign; Brein Mosely, University of Illinois at Urbana-Champaign
 
 

313 * !
Tue, 8/9/2022, 2:00 PM - 3:50 PM CC-151B
Teaching Statistical Communication — Invited Papers
Section on Statistics and Data Science Education, Caucus for Women in Statistics
Organizer(s): Shonda Kuiper, Grinnell College
Chair(s): Matt Hayat, Georgia State University
2:05 PM Audiences and Arguments: Teaching the Strategies of Effective Data Communicators
Sara Stoudt, Bucknell University
2:25 PM What 'Counts' as Statistical Communication?
Amelia McNamara, University of St Thomas
2:45 PM Data Space: Using Data and Stories to Bring Disciplines Together
Shonda Kuiper, Grinnell College
3:05 PM Argument Scaffolding: A Template for Quick and Effective Communication
Jonathan Auerbach, George Mason University; Regina Nuzzo, Gallaudet University
3:25 PM Discussant: Regina Nuzzo, Gallaudet University
3:45 PM Floor Discussion
 
 

223630
Wed, 8/10/2022, 7:00 AM - 8:30 AM M-Eastern Market
Section on Statistics and Data Science Education Executive Committee Meeting — Other Cmte/Business
Section on Statistics and Data Science Education
Chair(s): Nathan Tintle, University of Illinois - Chicago
 
 

362 *
Wed, 8/10/2022, 8:30 AM - 10:20 AM CC-149AB
Causal Inference for Undergraduates: Teaching Correlation Does Not Imply Students Understand Causal Inference — Invited Papers
Section on Statistics and Data Science Education, Section on Teaching of Statistics in the Health Sciences, ASA-MAA Joint Committee on Undergraduate Statistics, Caucus for Women in Statistics
Organizer(s): Kelly McConville, Harvard University
Chair(s): Kelly McConville, Harvard University
8:35 AM Covariate Balance as Paramount to Causal Inference
Kari Lock Morgan, Penn State University
9:00 AM Ideas, Challenges, and Opportunities to Develop Causal Thinking in Undergraduate Statistics
Kevin Cummiskey, West Point
9:25 AM Causal Inference Throughout the Statistics Curriculum
Leslie Myint, Macalester College
9:50 AM Discussant: Jeff Witmer, Oberlin College
10:15 AM Floor Discussion
 
 

420
Wed, 8/10/2022, 10:30 AM - 12:20 PM CC-149AB
How to Build (and Sustain) a Data Science Program — Topic Contributed Panel
Section on Statistics and Data Science Education
Organizer(s): Leigh V Johnson, Capital University
Chair(s): Chris Malone, Winona State University
10:35 AM How to Build (and Sustain) a Data Science Program
Panelists: Ann Cannon, Cornell College
Silas Bergen, Winona State University
Stacey Hancock, Montana State University
Brian Kotz, Montgomery College
12:10 PM Floor Discussion
 
 

442
Wed, 8/10/2022, 10:30 AM - 12:20 PM CC-Hall D
Contributed Poster Presentations: Section on Statistics and Data Science Education — Contributed Poster Presentations
Section on Statistics and Data Science Education, Text Analysis Interest Group
Chair(s): Gyuhyeong Goh, Kansas State University
37: Time to War in the Thucydides Trap
Jake Tan, Wissahickon High School; Chris McDaniels, Wissahickon High School
38: Selective Inference in Practice
Anni Hong, Carnegie Mellon University - Statistics dept. ; Arun K Kuchibhotla, Carnegie Mellon University
39: Resiliency of a Project-Based Statistics Curriculum in the Face of COVID-19 and Online Learning
Robin Donatello, California State University, Chico; Courtney Merrick, California State University, Chico; Lisa Dierker, Wesleyan University
40: Foundations for NLP-Assisted Formative Assessment Feedback for Short-Answer Tasks in Large-Enrollment Classes
Susan Lloyd, The Pennsylvania State University; Matthew Beckman, The Pennsylvania State University; Dennis Pearl, Pennsylvania State University; Rebecca Passonneau, The Pennsylvania State University; Zhaohui Li, The Pennsylvania State University; Zekun Wang, The Pennsylvania State University
41: Teaching Students in Statistics Courses to Read Critically
Lisa W. Kay, Eastern Kentucky University; Jill Parrott, Eastern Kentucky University
 
 

465 !
Wed, 8/10/2022, 2:00 PM - 3:50 PM CC-154B
Being Human in Statistics and Data Science: Humanistic Pedagogical and Curricular Innovations — Invited Panel
Justice Equity Diversity and Inclusion Outreach Group, Section on Statistics and Data Science Education, Committee on Statistics and Disability
Organizer(s): Shu-Min Liao, Amherst College
Chair(s): Samuel Echevarria-Cruz, Austin Community College District
2:05 PM Being Human in Statistics and Data Science: Humanistic Pedagogical and Curricular Innovations
Panelists: Emma Benn, Icahn School of Medicine at Mount Sinai
Donna LaLonde, ASA
Felicia Simpson, Winston-Salem State University
Rebecca Wong, West Valley College
Shu-Min Liao, Amherst College
3:40 PM Floor Discussion
 
 

466
Wed, 8/10/2022, 2:00 PM - 3:50 PM CC-149AB
Teaching in the Health Sciences: Is There a Viable Teaching Career Pathway? — Invited Panel
Section on Teaching of Statistics in the Health Sciences, Section on Statistics and Data Science Education, Committee on Career Development
Organizer(s): Ann M Brearley, University of Minnesota
Chair(s): Amy S Nowacki, Cleveland Clinic
2:05 PM Teaching in the Health Sciences: Is There a Viable Teaching Career Pathway?
Panelists: Matt Hayat, Georgia State University
Steve Grambow, Duke University
Steve Foti, University of Florida
Matt Zawistowski, University of Michigan
Amanda Ellis, University of Kentucky
James Odei, Ohio State University
3:40 PM Floor Discussion
 
 

471 !
Wed, 8/10/2022, 2:00 PM - 3:50 PM CC-154A
New Frontier in Developments of Complex-Structured High-Dimensional Data Analysis — Topic Contributed Papers
International Chinese Statistical Association, IMS, Section on Statistics and Data Science Education
Organizer(s): Chenlu Ke, Virginia Commonwealth University; Jiaying Weng, Bentley University
Chair(s): Chenlu Ke, Virginia Commonwealth University
2:05 PM Functional Group Lasso with Functional Predictor Selection
Jun Song, Korea University; Ali Mahzarnia, UNC Charlotte
2:25 PM Testing the Linear Mean and Constant Variance Conditions in Sufficient Dimension Reduction
Yuexiao Dong, Temple University
2:45 PM Pseudo Sufficient Dimension Reduction with Ill-Conditioned Sample Covariance Matrix
Wenbo Wu, The University of Texas at San Antonio
3:05 PM Subspace Estimation with Automatic Dimension and Variable Selection in Sufficient Dimension Reduction
Jing Zeng, Florida State University; Qing Mai, Florida State University; Xin Zhang, Florida State University
3:25 PM Triply Robust Surrogate-and-Model-Assisted Semi-Supervised Transfer Learning
Mengyan Li, Bentley University; Tianxi Cai , Harvard University ; Molei Liu, Harvard University
3:45 PM Floor Discussion
 
 

485 *
Wed, 8/10/2022, 2:00 PM - 3:50 PM CC-140A
Innovations in Introductory Statistics — Contributed Papers
Section on Statistics and Data Science Education
Chair(s): Charlotte Bolch, Midwestern University
2:05 PM Teaching Statistical Inference More Conceptually by Avoiding Standardized Statistics
Mortaza Jamshidian, California State University, Fullerton, Mathematics; Parsa Jamshidian, UCLA Biostatiatics
2:20 PM Statistics Education for Graduate Students with Visual Impairment
Annabel Li, University of Northern Colorado
2:35 PM Infusing History of Statistics Readings in an Introductory Statistics Course
Grant Lee Innerst, Shippensburg University
2:50 PM Creating a STEM-Based Study Abroad Experience in England Featuring the History of Statistics
Elizabeth Johnson, University of Florida; David Holmes, University of Florida
3:05 PM Statistical Literacy: UNM Math1300 First Year Results
Milo Schield, University of New Mexico
3:20 PM Projects with Purpose in Introductory Statistics
Kathy Gray, California State University-Chico
3:35 PM Modeling Architectural Factors and Garden Visibility in Pompeii
Ben N Dyhr, Metropolitan State University of Denver; Summer Trentin, Metropolitan State University of Denver; Janae Bacca, Metropolitan State University of Denver
 
 

223634
Wed, 8/10/2022, 6:30 PM - 8:00 PM M-Magnolia
Section on Statistics and Data Science Education Business Meeting — Other Cmte/Business
Section on Statistics and Data Science Education
Chair(s): Nathan Tintle, University of Illinois - Chicago
 
 

492 * !
Thu, 8/11/2022, 8:30 AM - 10:20 AM CC-150B
Why Probability, Then Statistics When It Can Be Probability, for Statistics? New Approaches for Teaching Mathematical Statistics — Invited Papers
Section on Statistics and Data Science Education, Section on Statistical Learning and Data Science, International Association for Statistical Education
Organizer(s): Peter E. Freeman, Carnegie Mellon University
Chair(s): Nicholas Joseph Seewald, Johns Hopkins Bloomberg School of Public Health
8:35 AM Utilizing Spiral Learning to Enhance Conceptual Retention in Mathematical Statistics
Peter E. Freeman, Carnegie Mellon University
8:55 AM Three-Course Dinner or Thanksgiving Feast? Putting the Pieces Together in a Modern Math/Stat Sequence
Randall Pruim, Calvin University
9:15 AM Teaching Probabability Theory in the Inverted Style
Jonathan Wells, Reed College
9:35 AM Calcu Less - Compute More: Rethinking Traditional Pathways for Increasing Access to Data Science
Ayona Chatterjee, Cal State Univ East Bay
9:55 AM Cutting Through the Theory: Emphasizing and Assessing Conceptual Understanding in Mathematical Statistics
Erin Blankenship, University of Nebraska-Lincoln; Jennifer Green, Michigan State University
10:15 AM Floor Discussion
 
 

516
Thu, 8/11/2022, 8:30 AM - 10:20 AM CC-152B
Business Analytics and Data Science Centers in College and Universities: What Makes Them Tick! — Topic Contributed Panel
Business Analytics/Statistics Education Interest Group, Business and Economic Statistics Section, Section on Statistics and Data Science Education
Organizer(s): George Recck, Babson College
Chair(s): Ismael Talke, Senior Lecturer Fisher COB OSU
8:35 AM Business Analytics and Data Science Centers in College and Universities: What Makes Them Tick!
Panelists: Diana Jones, Drexel University
George Recck, Babson College
John Draper, The Ohio State University
10:10 AM Floor Discussion
 
 

543 * !
Thu, 8/11/2022, 10:30 AM - 12:20 PM CC-140B
CANCELED: Racial Equity in Data Science Education — Topic Contributed Papers
Section on Statistics and Data Science Education, Section on Statistical Learning and Data Science