Name: 2019 Joint Statistical Meetings
Start: 2019-07-27T07:00:00+00:00
End: 2019-08-01
Location: Colorado Convention Center

Legend:
CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
* = applied session ! = JSM meeting theme

Activity Details

CE_10C	Sun, 7/28/2019, 8:30 AM - 5:00 PM	CC-407
Teaching Data Science (ADDED FEE) — Professional Development Continuing Education Course
ASA, Section on Statistical Computing, Section on Statistics and Data Science Education
Instructor(s): Mine Cetinkaya-Rundel, Duke University
Success in data science and statistics is dependent on the development of both analytical and computational skills. As statistics educators we are more familiar and comfortable with teaching the former, but the latter is becoming increasingly important. The goal of this workshop is to equip educators with concrete information on content and infrastructure for painlessly introducing modern computation into a data science and/or statistics curriculum. In addition to gaining technical knowledge, participants will engage in discussion around the decisions that go into choosing infrastructure and developing curriculum. Workshop attendees will work through several exercises from existing courses and get first-hand experience with using relevant tool-chains and techniques, including R/RStudio, literate programming with R Markdown, and collaboration, version control, and automated feedback with Git/GitHub. We will also discuss best practices for configuring and deploying classroom infrastructures to support these tools. This workshop is aimed at participants who are interested in the role of computing in either a Statistics or Data Science curriculum, including faculty designing new courses/programs and those interested in adding or improving a computational component to an existing course. A basic knowledge of R is assumed and familiarity with Git is preferred.
8:30 AM	Teaching Data Science (ADDED FEE) Mine Cetinkaya-Rundel, Duke University

6 *	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-605
Advocating, Implementing and Explaining Bayesian Analyzes in Statistical Consultations — Invited Papers
Section on Statistical Consulting, Section on Statistics and Data Science Education, Section on Bayesian Statistical Science
Organizer(s): Harry Dean Johnson, Washington State University
Chair(s): Bruce A. Craig, Purdue University
2:05 PM	The Jury Is Out: Communicating Bayesian Statistics in a Courtroom Trial Mark Glickman, Harvard University
2:30 PM	Bayesian Clinical Trial Consulting Presentation Scott Berry, Berry Consultants
2:55 PM	The Primordial Soup for Bayesian Analysis in Collaborative Settings: Technical Skill, Communication, and Trust Christopher Franck, Virginia Tech
3:20 PM	Discussant: Chris Holloman, Information Control Company
3:40 PM	Floor Discussion

16 !	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-205
To the Point: Critical Skills and Knowledge to Be Successful in Academia, Industry and the Government — Invited Panel
Committee on Career Development, Section on Statistical Consulting, Section on Statistics and Data Science Education
Organizer(s): Adin-Cristian Andrei, Northwestern University
Chair(s): Adin-Cristian Andrei, Northwestern University
2:05 PM	To the Point: Critical Skills and Knowledge to Be Successful in Academia, Industry and the Government
Panelists:	David Morganstein, Westat Jeri Metzger Mulrow, Bureau of Justice Statistics, Department of Justice, Washington, DC Joan Chmiel, Northwestern University, Chicago, IL John Bailer, Miami University Mary J Kwasny, Northwestern University
3:45 PM	Floor Discussion

49 !	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-207
Creating a Diverse and Inclusive Field One Student at a Time — Invited Papers
Section on Statistics and Data Science Education, ENAR, Section on Teaching of Statistics in the Health Sciences, Caucus for Women in Statistics
Organizer(s): Brianna Heggeseth, Macalester College
Chair(s): Brittney Bailey, Amherst College
4:05 PM	Cultivating an Equitable and Inclusive Classroom Dynamic Presentation Brianna Heggeseth, Macalester College
4:25 PM	Cultivating Diversity by Encouraging Deeper Learning of Fundamental Concepts Presentation Gretchen Falk Martinet, University of Virginia; Jeffrey J. Holt, University of Virginia
4:45 PM	Equity for Underprepared Intro Stat Students: Complex Instruction and Corequisite Design Alana Unfried, California State University, Monterey Bay
5:05 PM	Breaking Down Barriers: a Cohort Model for Broadening Participation in STEM Presentation Jessica Chapman, St. Lawrence University
5:25 PM	Bridging the Gap: Increasing Underrepresented Minority Representation in the Statistical Sciences Presentation Felicia R Simpson, Winston-Salem State University
5:45 PM	Floor Discussion

61 * !	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-506
Advancing Career Development with Interdisciplinary Skills — Topic Contributed Papers
Section on Statistical Consulting, Section on Teaching of Statistics in the Health Sciences, Section on Statistics and Data Science Education, Caucus for Women in Statistics
Organizer(s): Shuyan Wan, Merck & Co., Inc
Chair(s): Xiaofei Hu, Abbvie
4:05 PM	Persuade or Influence a Non-Statistician Collaborator Presentation Shuyan Wan, Merck & Co., Inc
4:25 PM	Practical Statistical Application and Communication in Financial Industry Weijian Liang, Vanguard
4:45 PM	How to Talk Variable Selection to Investigators Without Mentioning LASSO Presentation Yixin Fang
5:05 PM	How to Talk Statistics to Clinicians Christine Gause, Merck & Co., Inc
5:25 PM	Role of Biostatisticians in Transnational Researches in the Era of Big Data Hua Zhong, New York University
5:45 PM	Floor Discussion

219182	Mon, 7/29/2019, 7:00 AM - 8:30 AM	H-Mineral Hall E
Statistical Education Section Officers Meeting (Closed) — Other Cmte/Business
Section on Statistics and Data Science Education
Chair(s): Mine Cetinkaya-Rundel, Duke University + RStudio

104 *	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-710
Communicating Teaching Through Peer-Reviewed Publication — Invited Papers
Section on Teaching of Statistics in the Health Sciences, Section on Statistics and Data Science Education, Caucus for Women in Statistics
Organizer(s): Laila Poisson
Chair(s): Laila Poisson
8:35 AM	Writing Statistics Tutorials for Biologists Presentation Martin Krzywinski, Michael Smith Genome Sciences Centre; Naomi S Altman, Pennsylvania State University
8:55 AM	Statistics Education in the Health Sciences: Opportunities for Scholarship Presentation Matthew Jason Hayat, Georgia States University
9:15 AM	Creative Scholarly Works for the Statistical Educator: Teaching Resources Presentation Amy Sue Nowacki, Cleveland Clinic
9:35 AM	Opportunities to Publish in Statistics in Medicine Joel B Greenhouse, Carnegie Mellon University
9:55 AM	Discussant: Felicity Enders, Mayo Clinic
10:15 AM	Floor Discussion

110 * !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-605
Data in the 21st Century: Corporate and Non-Profit Decision Making in the Digital Age — Invited Papers
Business Analytics/Statistics Education Interest Group, Section on Statistics and Data Science Education, Business and Economic Statistics Section
Organizer(s): Michael William Kotarinos, University of South Florida & Solarbeam Capital LLC
Chair(s): Jennifer Lewis Priestley, Kennesaw State University
8:35 AM	From Statistics to Artificial Intelligence: The Evolution of Data Science Presentation Robert J McGrath, University of New Hampshire
8:50 AM	New Statistical Approaches to Financial Time Dependent Information Doo Young Kim, Sam Houston State University
9:05 AM	New Approaches to Old Problems: Interdisciplinary Approaches to Fighting Cancer in the 21st Century Ke Meng, UNC Chapel Hill
9:20 AM	21st Century Equity Markets: Evaluating, Assimilating, and Inte- Grating Information in Real-Time Presentation Michael William Kotarinos, University of South Florida & Solarbeam Capital LLC
9:35 AM	Crafting Manifolds: Application Lifecycle Analysis in a Mobile World Presentation Julius D'souza, Google
9:50 AM	Data in the 21st Century: Corporate and Non-Prot Decision Making in the Digital Age Ryan Kania, Advocates for World Health
10:05 AM	Floor Discussion

117 !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-505
Teaching and Displaying Social Statistics — Topic Contributed Papers
Section on Statistics and Data Science Education, International Statistical Institute, Text Analysis Interest Group
Organizer(s): Milo A Schield, Augsburg University
Chair(s): Christine A Franklin, American Statistical Association and University of Georgia
8:35 AM	Quantitative Literacy Should Not Be Optional Gail Burrill, Michigan State University
8:55 AM	Serving up Tasty Morsels: Mapping from Literacy to Capability Presentation Chris Wild, University of Auckland
9:15 AM	Statistical Literacy: A Study in Confounding Presentation Milo A Schield, Augsburg University
9:35 AM	Creating a Learning Progression to Support Secondary Mathematics Teachers to Develop a Critical Statistical Literacy Presentation Travis Weiland
9:55 AM	Data Visualization: Modernizing the ASA Poster Competition for Grades K-12 Presentation Jamis Perrett, Bayer U.S.- Crop Science
10:15 AM	Floor Discussion

125	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-502
SPEED: Modernization of What, How, and Where We Teach Statistics Part 1 — Contributed Speed
Section on Statistics and Data Science Education
Chair(s): Kameryn Denaro, University of California, Irvine
Poster Presentations for this session.
8:35 AM	Causal Inference in Introductory Statistics Courses Presentation Kevin Cummiskey, West Point; Bryan Adams, West Point; James Pleuss, West Point; Dusty Turner, West Point; Nicholas Clark, West Point; Krista Watts, West Point
8:40 AM	Teaching Data Intuition: a Book Presentation Rebecca Barter, University of California Berkeley; Bin Yu, UC Berkeley
8:45 AM	Students’ Understanding of Definitional and Relational Characteristics of Confidence Intervals: Initial Results Presentation Kristen E. Roland, University of Georgia; Jennifer J. Kaplan, University of Georgia
8:50 AM	Creating Labs to Solve an Investigative Question Using Both Individual and Team Components Megan Mocko, University of Florida
8:55 AM	Transition from Education to Profession: Experiences of Statisticians Presentation 1 Presentation 2 Layla Guyot, Texas State University
9:00 AM	Successful and Sustainable Undergraduate Research in Statistics Through Vertical Integration of Experience and Horizontal Integration of Disciplines Presentation Audrey E Hendricks, University of Colorado Denver
9:05 AM	Statistics Races and Jeopardy Games Presentation David DiMarco; Ryan Savitz, Neumann University
9:10 AM	Service Learning in Analytics Courses: a Case Study of the Benefits of Teaching Through Helping Others Presentation Kathleen Garwood, Saint Joseph's University; Vipul Gupta, Saint Joseph's University
9:15 AM	Active-Learning for Bayesian Inference: An Introductory Exercise Using MandM's Candy Presentation Gwendolyn Marie Eadie, University of Washington; Daniela Huppenkothen, University of Washington; Aaron Springford, Weyerhaeuser; Tyler McCormick, University of Washington
9:20 AM	Undergraduate Statistics Research: a Viewpoint from a Non-Statistician Presentation Ryan Scherenberg; Megan Sorenson, University of Colorado Denver; Audrey E Hendricks, University of Colorado Denver
9:30 AM	Digital Metaphors: a Tool to Provide Insights into Introductory Statistics Students’ Motivation and Success Ginger Holmes Rowell, Middle Tennessee State University; Ameneh Kassaee, Middle Tennessee State University
9:35 AM	Studying the Relationship Between Students’ Perception of the Mean and Their Understanding of Variance Presentation Robert Sigley, Texas State University; Layla Guyot, Texas State University; Alexander White, Texas State University
9:40 AM	Online Learning and Student Experience—a Study of the Impact of Non-Traditional Learning Environments on the Development of Students’ Relationships and Academic Performance Alicia Lamere, Bryant University; Kristin Kennedy, Bryant University
9:45 AM	Making an Impact - Take-Aways from Creating a Student-Driven Statistical Consulting Group for Non-Profits Presentation Kristin Kennedy, Bryant University; Alicia Lamere, Bryant University; Rick Gorvett, Bryant University; Son Nguyen, Bryant University
9:50 AM	Using Think-Aloud Interviews and Cognitive Task Analysis to Identify Misconceptions in Undergraduate Statistics Education Presentation Mikaela Meyer, Carnegie Mellon University; Josue Orellana, Carnegie Mellon University; Alex Reinhart, Carnegie Mellon University
9:55 AM	Incorporating Real-Time Clustering of Student Responses into an E-Learning System Philipp Burckhardt, Carnegie Mellon University; Christopher Genovese, Statistics, CMU; Rebecca Nugent, Carnegie Mellon University; Ronald J. Yurko, Carnegie Mellon University
10:00 AM	Paradox Problems as a Tool for Understanding Statistical Reasoning Presentation Andrew Neath, SIU Edwardsville
10:05 AM	Computational Workshops to Facilitate Implementation of Statistics in Scientific Research Presentation Allison Theobold, Montana State Univ; Stacey Hancock, Montana State University
10:10 AM	Interactive Examples in Statistics Courses Using R Shiny Presentation Ryne VanKrevelen, Elon University
10:15 AM	Floor Discussion

152 * !	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-106
Making an Impact in Statistics Education: Waller Award Winner Perspectives — Invited Papers
Section on Statistics and Data Science Education
Organizer(s): Stacey Hancock, Montana State University
Chair(s): Stacey Hancock, Montana State University
10:35 AM	Is the Act All That Matters in Active Learning? Presentation 1 Presentation 2 James Cochran, University of Alabama
10:50 AM	Technology for Teaching Statistics - Can it Get Any Better Than This? Presentation Robin Lock, St. Lawrence University
11:05 AM	Roles of Statistics Educators Beyond the Classroom Presentation Rebecca Nugent, Carnegie Mellon University
11:20 AM	Teaching with Simulation-Based Inference Methods in 2020 and Beyond Presentation Nathan Tintle, Dordt College
11:35 AM	Recognizing Human Progress Presentation Allan Rossman, Cal Poly - San Luis Obispo
11:50 AM	Incorporating Community-Based Learning into the Classroom Presentation Lynne Steuerle Schofield, Swarthmore College
12:05 PM	Floor Discussion

189	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-Hall C
Contributed Poster Presentations: Section on Statistical Education — Contributed Poster Presentations
Section on Statistics and Data Science Education
Chair(s): Wendy Meiring, University of California At Santa Barbara
47:	Teaching Statistical Distributions Using Roulette Martingale Strategies Peter Pflaumer
48:	Correction in the Formula for Evaluating the Null Hypothesis Donald R Taves, Univ of Wash
49:	TEACHING INTRODUCTORY STATISTICS with WEB-BASED INTERACTIVE SONG ACTIVITIES Dennis Pearl, Penn State University; Lawrence M Lesser, The University of Texas at El Paso; John Weber, Perimeter College at Georgia State University
50:	Ensuring All Students Can Be Successful, Using Open Education Resources (OER) Leah Dorazio, OpenIntro, SF University High School
51:	Predicting Undergraduate Student Success Using Geographically Weighted Logistic Regression James Roddy, University of Arkansas, Fayetteville; Samantha Robinson, University of Arkansas
52:	"Why Am I Failing?": The Importance of Basic Quantitative Skills in a Business Statistics Course Deborah Gougeon, Univ of Scranton
53:	STATISTICAL MODELS to IDENTIFY STUDENT CHARACTERISTICS to TAILOR GRADUATION INITIATIVES Ayona Chatterjee, California State University East Bay; Chinki Rai, CSUEB; Fanny Yeung, CSUEB
54:	Development and Implementation of WISE (Workshop to Inspire Statistical Excellence) to Recruit Future Statisticians Michelle Smith, Eastern Kentucky University; Amanda Rae Ellis, Eastern Kentucky University; Shane P Redmond, Eastern Kentucky University
55:	Making an Impact on Undergraduates Through Experiential Learning in Statistics Tracy Morris, University of Central Oklahoma; Tyler Cook, University of Central Oklahoma ; Cynthia Murray, University of Central Oklahoma
56:	Conditional Probability and SQL for Data Science Eric Suess, CSU East Bay
57:	Corequisite Support for an Introductory Statistics Course Lisa Kay, Eastern Kentucky University

195	Mon, 7/29/2019, 11:35 AM - 12:20 PM	CC-Hall C
SPEED: Modernization of What, How, and Where We Teach Statistics Part 2 — Contributed Poster Presentations
Section on Statistics and Data Science Education
Chair(s): Kameryn Denaro, University of California, Irvine
Oral Presentations for this session.
1:	Causal Inference in Introductory Statistics Courses Kevin Cummiskey, West Point; Bryan Adams, West Point; James Pleuss, West Point; Dusty Turner, West Point; Nicholas Clark, West Point; Krista Watts, West Point
3:	Students’ Understanding of Definitional and Relational Characteristics of Confidence Intervals: Initial Results Kristen E. Roland, University of Georgia; Jennifer J. Kaplan, University of Georgia
4:	Creating Labs to Solve an Investigative Question Using Both Individual and Team Components Megan Mocko, University of Florida
5:	Transition from Education to Profession: Experiences of Statisticians Layla Guyot, Texas State University
6:	Successful and Sustainable Undergraduate Research in Statistics Through Vertical Integration of Experience and Horizontal Integration of Disciplines Audrey E Hendricks, University of Colorado Denver
7:	Statistics Races and Jeopardy Games David DiMarco; Ryan Savitz, Neumann University
8:	Service Learning in Analytics Courses: a Case Study of the Benefits of Teaching Through Helping Others Kathleen Garwood, Saint Joseph's University; Vipul Gupta, Saint Joseph's University
9:	Active-Learning for Bayesian Inference: An Introductory Exercise Using MandM's Candy Gwendolyn Marie Eadie, University of Washington; Daniela Huppenkothen, University of Washington; Aaron Springford, Weyerhaeuser; Tyler McCormick, University of Washington
10:	Undergraduate Statistics Research: a Viewpoint from a Non-Statistician Ryan Scherenberg; Megan Sorenson, University of Colorado Denver; Audrey E Hendricks, University of Colorado Denver
11:	Digital Metaphors: a Tool to Provide Insights into Introductory Statistics Students’ Motivation and Success Ginger Holmes Rowell, Middle Tennessee State University; Ameneh Kassaee, Middle Tennessee State University
12:	Studying the Relationship Between Students’ Perception of the Mean and Their Understanding of Variance Robert Sigley, Texas State University; Layla Guyot, Texas State University; Alexander White, Texas State University
13:	Online Learning and Student Experience—a Study of the Impact of Non-Traditional Learning Environments on the Development of Students’ Relationships and Academic Performance Alicia Lamere, Bryant University; Kristin Kennedy, Bryant University
14:	Making an Impact - Take-Aways from Creating a Student-Driven Statistical Consulting Group for Non-Profits Kristin Kennedy, Bryant University; Alicia Lamere, Bryant University; Rick Gorvett, Bryant University; Son Nguyen, Bryant University
15:	Using Think-Aloud Interviews and Cognitive Task Analysis to Identify Misconceptions in Undergraduate Statistics Education Mikaela Meyer, Carnegie Mellon University; Josue Orellana, Carnegie Mellon University; Alex Reinhart, Carnegie Mellon University
16:	Incorporating Real-Time Clustering of Student Responses into an E-Learning System Philipp Burckhardt, Carnegie Mellon University; Christopher Genovese, Statistics, CMU; Rebecca Nugent, Carnegie Mellon University; Ronald J. Yurko, Carnegie Mellon University
17:	Paradox Problems as a Tool for Understanding Statistical Reasoning Andrew Neath, SIU Edwardsville
18:	Computational Workshops to Facilitate Implementation of Statistics in Scientific Research Allison Theobold, Montana State Univ; Stacey Hancock, Montana State University
19:	Interactive Examples in Statistics Courses Using R Shiny Ryne VanKrevelen, Elon University
20:	Teaching Data Intuition: a Book Rebecca Barter, University of California Berkeley; Bin Yu, UC Berkeley
Oral Presentations for this session.

218992	Mon, 7/29/2019, 12:30 PM - 1:30 PM	CC-SocietyTables Registration Promenade
Birds of a Feather: Visualizing Visualization — Other Cmte/Business
Section on Statistics and Data Science Education
Chair(s): Jo Hardin, Pomona College

218993	Mon, 7/29/2019, 12:30 PM - 1:30 PM	CC-SocietyTables Registration Promenade
Birds of a Feather: Preparing Students for Jobs in Industry — Other Cmte/Business
Section on Statistics and Data Science Education
Chair(s): Jamis Perrett, Bayer U.S.- Crop Science

219 * !	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-702
Making an Impact in Statistics Education Through Innovation and Outreach — Invited Papers
ENAR, Section on Statistics and Data Science Education, International Association for Statistical Education
Organizer(s): Margaret Taub, Johns Hopkins Bloomberg School of Public Health
Chair(s): Leah Jager, Johns Hopkins Bloomberg School of Public Health
2:05 PM	Teaching Students to Talk About Data Science Alison Hill, RStudio
2:30 PM	Rmarkdown Workflows Make New Statistical Methods Accessible to Biomedical Researchers Michael Love, UNC-Chapel Hill
2:55 PM	Overcoming the Barriers of Entry into Data Science for Non-Traditional Learners with Cloud Computing Shannon E. Ellis, UCSD
3:20 PM	Teaching Data Science Through Case Studies in Public Health Stephanie Hicks, Johns Hopkins Bloomberg School of Public Health
3:45 PM	Floor Discussion

230 * !	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-109
Innovative STEAMS Methdology Over STEM — Topic Contributed Papers
Quality and Productivity Section, Committee on Outreach Education, Section on Statistics and Data Science Education
Organizer(s): Charles Chen, Applied Materials
Chair(s): Charles Chen, Applied Materials
2:05 PM	STEAMS Applications on Gaming Science and Analytics Presentation Mason Chen, Mission San Jose High School, Stanford OHS; Luke Liu, Stratford School
2:25 PM	STEAMS Approach on NBA Basketball Games Presentation Alan Yao, Mission San Jose High School, and Stanford Online High School; Mason Chen, Mission San Jose High School, Stanford OHS
2:45 PM	STEAMS Application on Chronic Low Back pain and Exercise Intervention Julianne Chiu; Kaitlyn Zhang, Stanford OHS; Mason Chen, Mission San Jose High School, Stanford OHS
3:05 PM	STEAMS Applications on Foods Science and Analytics Kaitlyn Zhang, Stanford OHS; Mason Chen, Mission San Jose High School, Stanford OHS
3:25 PM	Discussant: Patrick Giuliano, Abbott
3:45 PM	Floor Discussion

232 * !	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-507
Undergraduate Research in Statistics — Topic Contributed Papers
Section on Statistics and Data Science Education
Organizer(s): Peter E. Freeman, Carnegie Mellon University
Chair(s): Debra Hydorn, University of Mary Washington
2:05 PM	Introducing Early Undergraduates to Statistical Practice: How You Can (And Why You Should) Provide Such Opportunities at Your Institution Presentation Peter E. Freeman, Carnegie Mellon University
2:25 PM	Transformative Failure in Client-Based Projects for Introductory Data Science Presentation Karl Schmitt, Valparaiso University; Lissa Yogan, Valparaiso University; Adali Johnson, Valparaiso University
2:45 PM	Moving Beyond Classroom Projects to Guided Research Presentation Shonda Kuiper, Grinnell College
3:05 PM	Strategies for Achieving Success with Advanced Undergraduate Research Students in Statistics Presentation Vittorio Addona, Macalester College
3:25 PM	15 Years of a Center for Interdisciplinary Research: Reflections and Projections Presentation Paul Roback, St. Olaf College
3:45 PM	Floor Discussion

218994	Mon, 7/29/2019, 4:00 PM - 5:00 PM	CC-SocietyTables Registration Promenade
Birds of a Feather: Jumpstarting Early Undergraduate Research — Other Cmte/Business
Section on Statistics and Data Science Education
Chair(s): Peter E. Freeman, Carnegie Mellon University

282 !	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-102
Data Science Education at the School Level — Invited Panel
International Association for Statistical Education, National Council of Teachers of Mathematics, Section on Statistics and Data Science Education
Organizer(s): Tim Erickson, Epistemological Engineering
Chair(s): Tim Erickson, Epistemological Engineering
8:35 AM	Data Science Education at the School Level
Panelists:	Andee Rubin, TERC Anna Fergusson, University of Auckland Michelle Wilkerson, University of California at Berkeley Rob Gould, ASA William Finzer, Concord Consortium
10:15 AM	Floor Discussion

283	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-603
Statistical Sleuths, Data Thugs, or Methodological Terrorists? Recent Stories from the New Field of Error Detection in the Published Literature — Invited Panel
Section on Statistics and Data Science Education
Organizer(s): Regina Nuzzo, American Statistical Association; Kristin Sainani, Stanford University
Chair(s): Regina Nuzzo, American Statistical Association
8:35 AM	Statistical Sleuths, Data Thugs, or Methodological Terrorists? Recent Stories from the New Field of Error Detection in the Published Literature Presentation 1 Presentation 2 Presentation 3
Panelists:	Andrew W. Brown, Indiana University School of Public Health-Bloomington James Heathers, Northeastern University Kristin Sainani, Stanford University Nick Brown, University of Groningen
10:10 AM	Floor Discussion

306 * !	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-104
Innovative Approaches to Teaching Statistics from Content to Modality — Contributed Papers
Section on Statistics and Data Science Education
Chair(s): Elizabeth Fry, University of Minnesota
8:35 AM	Acknowledging Our Foundations: Promoting Discussion of Historical and Philosophical Challenges Underlying Statistical Inference Presentation Megan Higgs, Montana State University
8:50 AM	Growing Certain: Students’ Mechanistic Reasoning About the Empirical Law of Large Numbers in a Simulation-Based Inference Course Presentation Ethan Brown, University of Minnesota; Robert delMas, University of Minnesota
9:05 AM	Developing “Data Mentors” for Beginning Teachers Presentation Debra Hydorn, University of Mary Washington
9:20 AM	Capstone Assessment Tools for the Undergraduate Statistics Major Presentation Matthew D Beckman, Pennsylvania State University
9:35 AM	Teaching a Mixed-Mode Biostatistics Course Using Canvas Presentation Julia Soulakova, University of Central Florida; Victoria L Owens, College of Medicine, UCF
9:50 AM	Teaching Graduate Level Statistics Courses in a Synchronous Classroom Presentation Samantha Seals, University of West Florida
10:05 AM	Making an Impact Through Testing Presentation Rosanna Overholser

330 !	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-603
Snapshots in History: Statisticians Making an Impact — Topic Contributed Papers
History of Statistics Interest Group, Section on Statistics and Data Science Education, Caucus for Women in Statistics
Organizer(s): Wendy L Martinez, Bureau of Labor Statistics
Chair(s): Jeffrey Smith, U.S. Army Research Laboratory
10:35 AM	Abraham DeMoivre: Progenitor of Statistics Presentation Herbert Weisberg
10:55 AM	Two Chapters in the Development of Human Population Sampling (1895/1934) Presentation 1 Presentation 2 Dominic Lusinchi
11:15 AM	Brewing up Statistics: a Look at Gosset’s Contributions Martha McRoy, Pew Research Center
11:35 AM	Using Primary Historical Sources to Teach Statistics Beverly Wood, Embry-Riddle Aeronautical University
11:55 AM	A One-Credit History of Statistics Course Using “The Lady Tasting Tea” by David Salsburg with Supplementary Readings Presentation 1 Presentation 2 Presentation 3 Phyllis Curtiss, Grand Valley State University; Kirk Anderson, Grand Valley State Univ
12:15 PM	Floor Discussion

336 * !	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-503
Catalyzing Change: Creating the Reality That Statistical Reasoning Skills Are Vital for All Students — Topic Contributed Panel
Section on Statistics and Data Science Education
Organizer(s): Christine A Franklin, American Statistical Association and University of Georgia
Chair(s): Gail Burrill, Michigan State University
10:35 AM	Catalyzing Change: Creating the Reality That Statistical Reasoning Skills Are Vital for All Students Presentation
Panelists:	Christine A Franklin, American Statistical Association and University of Georgia David Barnes, National Council of Teachers of Mathematics Jessica Utts, University of California - Irvine Lisa LaVange, University of North Carolina
12:10 PM	Floor Discussion

218991	Tue, 7/30/2019, 12:30 PM - 1:30 PM	CC-SocietyTables Registration Promenade
Birds of a Feather: Teaching (With) R — Other Cmte/Business
Section on Statistics and Data Science Education
Chair(s): Mine Dogucu, University of California Irvine

218995	Tue, 7/30/2019, 12:30 PM - 1:30 PM	CC-SocietyTables Registration Promenade
Birds of a Feather: Teaching Survey Statistics and Methodology from Total Survey Error Perspective — Other Cmte/Business
Section on Statistics and Data Science Education
Chair(s): James Wagner, University of Michigan

369	Tue, 7/30/2019, 12:30 PM - 1:50 PM	H-Centennial Ballroom G-H
Section on Statistics and Data Science Education P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Statistics and Data Science Education
Organizer(s): Amelia McNamara, University of St. Thomas
TL13:	Stats for Data Science Daniel Kaplan, Macalester College

388 * !	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-603
Building Bridges for Data Science Education — Invited Panel
Section on Statistics and Data Science Education, Section on Statistical Computing, Section on Statistical Learning and Data Science
Organizer(s): Mine Cetinkaya-Rundel, Duke University
Chair(s): Beth Chance, Cal Poly - San Luis Obispo
2:05 PM	Building Bridges for Data Science Education Presentation
Panelists:	Mine Cetinkaya-Rundel, Duke University Michael Posner, Villanova University Jeff Forbes, Duke University Andrea Danyluk, Williams College
3:45 PM	Floor Discussion

402 *	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-710
Cheating Lessons: Learning from Academic Dishonesty — Topic Contributed Panel
Section on Teaching of Statistics in the Health Sciences, Section on Statistics and Data Science Education
Organizer(s): Monnie McGee, Southern Methodist University
Chair(s): Ed Gracely, Drexel University
2:05 PM	Cheating Lessons: Learning from Academic Dishonesty Presentation 1 Presentation 2 Presentation 3 Presentation 4 Presentation 5
Panelists:	Monnie McGee, Southern Methodist University Jacqui Milton, Boston University Jana Anderson, Colorado State University Jeremiah Aakre, Mayo Clinic Amy L Phelps, Duquesne University
3:40 PM	Floor Discussion

218996	Tue, 7/30/2019, 4:00 PM - 5:00 PM	CC-SocietyTables Registration Promenade
Birds of a Feather: ASA Section on Statistical Education Mentoring Program — Other Cmte/Business
Section on Statistics and Data Science Education
Chair(s): Jennifer L Green, Montana State University

433	Wed, 7/31/2019, 7:00 AM - 8:15 AM	H-Centennial Ballroom G-H
Section on Statistics and Data Science Education A.M. Roundtable Discussion (Added Fee) — Roundtables AM Roundtable Discussion
Section on Statistics and Data Science Education
Organizer(s): Amelia McNamara, University of St. Thomas
WL05:	Reforming the Teaching and Conception of Quantitative Methods in Applied Research Using Evidence Based Teaching Brian Sloboda, University of Phoenix; Stanley Pogrow, San Francisco State University

445 * !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-707
Communicating to the Masses: Sharing Statistics and Data Science in a World of Sound Bites, Social Media, and Popular Press — Invited Papers
Section on Statistics and Data Science Education, Caucus for Women in Statistics
Organizer(s): Jennifer L Green, Montana State University
Chair(s): Erin E Blankenship, University of Nebraska-Lincoln
8:35 AM	Writing for Newspapers, Magazines, Comics and More: Making a Real Impact on the Broadest Audience Presentation Regina Nuzzo, American Statistical Association
9:00 AM	The Art of Storytelling: Engaging Audiences with Podcasts and Curiosity Cafes Jennifer L Green, Montana State University; Shannon Willoughby, Montana State University; Brock LaMeres, Montana State University; Bryce Hughes, Montana State University; Leila Sterman, Montana State University; Christopher Organ, Montana State University; Kent Davis, Montana State University
9:25 AM	Statistics and Data Science Outreach Using Twitter: Communicating the Power of Statistics in 280 Characters Presentation Nicholas J. Horton, Amherst College
9:50 AM	Fake News Sells Liberty Vittert, University of Glasgow
10:15 AM	Floor Discussion

483 * !	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-504
Teaching Statistics: Stepping Out of the Classroom — Invited Papers
Section on Teaching of Statistics in the Health Sciences, Section on Statistics and Data Science Education, American Educational Research Association
Organizer(s): Jaya M Satagopan, Memorial Sloan Kettering Cancer Center; Ananda Sen, University of Michigan
Chair(s): Ananda Sen, University of Michigan
10:35 AM	Out of the Classroom and into the "Real" World: Learning Statistics by Doing Statistics with "The Islands" Presentation Ann M Brearley, University of Minnesota; Laura J Le, University of Minnesota
11:05 AM	Using and Building Shiny Apps for Teaching Introductory Biostatistics Presentation Adam Ciarleglio, The George Washington University
11:35 AM	Biostatistics for Public Health Students: What Benefits Does a “Flipped” Classroom Have? Presentation Thomas M Braun, University of Michigan School of Public Health
12:05 PM	Floor Discussion

514 * !	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-302
Teaching Data Science: R, Git, and the Undergraduate Curriculum — Contributed Papers
Section on Statistics and Data Science Education
Chair(s): Daniel Kaplan, Macalester College
10:35 AM	DemoR: Tools for Teaching and Presenting R Code Kelly Bodwin, California Polytechnic State University; Hunter Glanz, California Polytechnic State University
10:50 AM	Ghclass: An R Package for Managing Classes with GitHub Presentation Colin Rundel, Duke University
11:05 AM	Using GitHub and RStudio to Facilitate Authentic Learning Experiences in a Regression Analysis Course Presentation Maria Tackett, Duke University
11:20 AM	Teaching Introductory Statistics with Online Tools and Open Source Data Presentation Shiju Zhang, St Cloud State University
11:35 AM	Teaching Soft Skills in Data Science Curriculum Presentation Hunter Glanz, California Polytechnic State University; Dennis L Sun, Cal Poly and Google; Alexander Dekhtyar, California Polytechnic State University
11:50 AM	Developing an Undergraduate Major in Data Science: a Statistics Educator's Perspective Presentation Amy Froelich, Iowa State University
12:05 PM	The Evolution of an Undergraduate Data Science Program – a Reflection of the Past Five Years Presentation Christopher Malone, Winona State University; Silas Bergen, Winona State University; Brant Deppa, Winona State University; Todd Iverson, Winona State University; Tisha Hooks, Winona State University; April Kerby, Winona State University

219209	Wed, 7/31/2019, 12:30 PM - 1:30 PM	CC-SocietyTables Registration Promenade
Birds of a Feather: GAISE 2016, Statistical Literacy and Confounding — Other Cmte/Business
Section on Statistics and Data Science Education
Chair(s): Milo A Schield, Augsburg University

569 !	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-102
Student Engagement and Interaction in Online/Hybrid Courses — Topic Contributed Panel
Section on Teaching of Statistics in the Health Sciences, ASA-MAA Joint Committee on Undergraduate Statistics, Section on Statistics and Data Science Education
Organizer(s): Hollylynne S Lee, NC State University
Chair(s): Jacqueline Milton Hicks, Boston University
2:05 PM	Student Engagement and Interaction in Online/Hybrid Courses Presentation
Panelists:	Christy Brown, Clemson University Emily Slade, University of Kentucky Hollylynne S Lee, NC State University Matt Brems, General Assembly Melissa Pittard, University of Kentucky Sabrina Ripp, Tulsa Community College
3:40 PM	Floor Discussion

218998	Wed, 7/31/2019, 4:00 PM - 5:00 PM	CC-SocietyTables Registration Promenade
Birds of a Feather: Software Choices in Introductory Statistics — Other Cmte/Business
Section on Statistics and Data Science Education
Chair(s): Kelly Bodwin, California Polytechnic State University

218999	Wed, 7/31/2019, 4:00 PM - 5:00 PM	CC-SocietyTables Registration Promenade
Birds of a Feather: Pair Programming Approaches to Support Team Based Learning — Other Cmte/Business
Section on Statistics and Data Science Education
Chair(s): Nicholas J. Horton, Amherst College

219000	Wed, 7/31/2019, 4:00 PM - 5:00 PM	CC-SocietyTables Registration Promenade
Birds of a Feather: Online Teaching — Other Cmte/Business
Section on Statistics and Data Science Education
Chair(s): John Schuler

218880	Wed, 7/31/2019, 6:00 PM - 7:30 PM	H-Centennial Ballroom C
Section on Statistics and Data Science Education Mixer and Business Meeting — Other Cmte/Business
Section on Statistics and Data Science Education
Chair(s): Mine Cetinkaya-Rundel, Duke University + RStudio

590 * !	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-205
Better Deciding Through Discretizing: The State of the Art in Uncertainty Visualization — Invited Papers
Section on Statistical Graphics, Section on Statistics and Data Science Education, Journal of Statistics Education
Organizer(s): Jessica R Hullman, Northwestern University
Chair(s): Jessica R Hullman, Northwestern University
8:35 AM	Uncertainty Displays for Helping Engineers Make Better Decisions Presentation Mike Kirby, University of Utah Scientific Visualization
9:05 AM	Uncertainty Displays for Helping Laypeople Make Better Decisions Matthew Kay, University of Michigan
9:35 AM	Cognitive Sources of Reasoning Errors with Uncertainty Visualization Lace R Padilla, Northwestern University
10:05 AM	Floor Discussion

651 * !	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-704
Funding Opportunities for (Undergraduate and Graduate) Students — Topic Contributed Panel
Section on Statistics and Data Science Education, Section on Teaching of Statistics in the Health Sciences, Committee on Women in Statistics
Organizer(s): Ming- Wen An
Chair(s): Sujit Ghosh, North Carolina State Univ.
10:35 AM	Funding Opportunities for (Undergraduate and Graduate) Students Presentation
Panelists:	Nandita Mitra, University of Pennsylvania Song Yang, NIH/NLBI Branislav Vidakovic, NSF Gideon Zamba, University of Iowa
12:10 PM	Floor Discussion

JSM 2019 Online Program

Activity Details

American Statistical Association