Name: 2018 Joint Statistical Meetings
Start: 2018-07-28T07:00:00+00:00
End: 2018-08-02
Location: Vancouver Convention Centre

Legend:
CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme

Activity Details

9 * !	Sun, 7/29/2018, 2:00 PM - 3:50 PM	CC-West 202
Data Science Education - Successes and Challenges: Stories from the Classroom and Beyond — Invited Papers
Journal of Statistics Education, Business Analytics/Statistics Education Interest Group, Section on Statistical Education
Organizer(s): Soma Roy, Cal Poly, San Luis Obispo
Chair(s): Amy Wagler, The University of Texas at El Paso
2:05 PM	Teaching Students to Think About Data Representation Dennis L Sun, Cal Poly and Google
2:25 PM	An Interdisciplinary Approach to Data Science Education Presentation Galin Jones, University of Minnesota
2:45 PM	Scaling a Data Science Curriculum to the Masses: Success and Failures in the Undergraduate Classroom Thomas Fisher, Miami University
3:05 PM	Data Science: a Recent Graduate's 'Reverse Engineered' Perspective Presentation Kelsey Warsinske, DePauw University, Miami University, Facebook
3:25 PM	Discussant: Nicholas J. Horton, Amherst College
3:45 PM	Floor Discussion

26 !	Sun, 7/29/2018, 2:00 PM - 3:50 PM	CC-West 116
Leading to Quantitative Literacy — Topic Contributed Papers
Section on Teaching of Statistics in the Health Sciences, Committee on Professional Ethics, Committee on Applied Statisticians, Section on Statistical Education
Organizer(s): Rochelle Tractenberg, Georgetown University
Chair(s): Laila Poisson
2:05 PM	Training with the Mastery Rubric for Statistical Literacy to Promote Rigor and Reproducibility Across Scientific Disciplines: Making the Journal Club Educational Rochelle Tractenberg, Georgetown University
2:25 PM	Knowledge Assessment of Statistics Educators in the Health Sciences Presentation Matthew Hayat, Georgia State University; Michael Jiroutek, Campbell University; MyoungJin Kim, Illinois State University; Todd Schwartz, University of North Carolina at Chapel Hill
2:45 PM	Graphical and Quantitative Literacy: Empowerment Begins with Naming and Describing What We Do Presentation Susan Duke, FDA
3:05 PM	Increasing Statistical Literacy by Thinking Like a Journalist (And Maybe Even Working with One) Regina Nuzzo, Gallaudet University
3:25 PM	Floor Discussion

35	Sun, 7/29/2018, 2:00 PM - 3:50 PM	CC-East 9
Statistics in Sports, Competitions, and the Arts — Contributed Papers
Section on Statistical Education
Chair(s): Jack Follis, University of St. Thomas
2:05 PM	Senior Swim Competition Times Presentation David P. Doane, Oakland University; Lori E Seward, University of Colorado; Kevin Murphy, Oakland University
2:20 PM	Playoff Series and the Incomplete Beta Function Presentation Roger Johnson, South Dakota School of Mines & Tech
2:35 PM	Measuring Judge Agreement for a High School Diving Competition Presentation Monnie McGee, Southern Methodist University
2:50 PM	A Ratio-Based Method for Predicting Point Differentials in Sports Presentation Andrew Swift, University of Nebraska at Omaha; Andrew Tew, University of Nebraska at Omaha
3:20 PM	Statistics in Works of Fiction - in Three Acts André Michelle Lubecke, Lander University
3:35 PM	The Nature of Reality: Was Will Hunting Really All That Smart? Presentation Laurence Robinson, Ohio Northern University

67 * !	Sun, 7/29/2018, 4:00 PM - 5:50 PM	CC-West 118
Statistics Education for Future Military Leaders — Topic Contributed Panel
Section on Statistics in Defense and National Security, Section on Statistical Education
Organizer(s): Matthew Hawks, US Naval Academy
Chair(s): Matthew Hawks, US Naval Academy
4:05 PM	Statistics Education for Future Military Leaders Presentation
Panelists:	Robert Koyak, Naval Postgraduate School Kenneth Horton, US Air Force Academy David Ruth, US Naval Academy Andrew Geyer, Air Force Institute of Technology
5:40 PM	Floor Discussion

74 *	Sun, 7/29/2018, 4:00 PM - 5:50 PM	CC-West 203
Challenges and Approaches to Teaching Statistics in the Health Sciences — Contributed Papers
Section on Teaching of Statistics in the Health Sciences, Section on Statistical Education
Chair(s): Kendra Schmid , University of Nebraska Medical Center
4:05 PM	Helping New Healthcare Researchers to Consider Statistics Early Presentation Nicole Herrera, Children's National Medical Center; Heather Gordish-Dressman, Children's National Medical Center; James Bost, Children's National Medical Center
4:20 PM	Mixing Active Learning and Lecturing: Using Interactive Visualization as a Teaching Tool Presentation Jessica Minnier, Oregon Health & Science University; Ted Laderas, Oregon Health & Science University
4:35 PM	Effective Story Telling with Dynamic Data Visualizations Ruth Hummel, SAS Institute, JMP Division; Mia Stephens, SAS Istitute, JMP Division
4:50 PM	Overcoming Fears (My Own) Teaching Reproducible Research, Big Data and Data Mining in Nursing and Public Health Education Presentation Melinda Higgins, Emory University
5:05 PM	Statistical Significance: Time to Look Forward Presentation Philip Sedgwick, St. George's, University of London
5:20 PM	Floor Discussion

216503	Sun, 7/29/2018, 5:00 PM - 6:30 PM	F-Burrard Suite
Isolated Statisticians Business Meeting — Other Cmte/Business
Section on Statistical Education
Chair(s): KB Boomer, Bucknell University

216530	Mon, 7/30/2018, 7:00 AM - 8:30 AM	F-Mackenzie I
Section on Statistical Education Officers Meeting — Other Cmte/Business
Section on Statistical Education
Chair(s): Beth Chance, Cal Poly - San Luis Obispo

118	Mon, 7/30/2018, 8:30 AM - 10:20 AM	CC-West 209
SPEED: Teaching Statistics: Strategies and Applications — Contributed Speed
Section on Statistical Education, Business Analytics/Statistics Education Interest Group
Chair(s): Brenna Curley, Moravian College
Poster Presentations for this session.
8:35 AM	Introducing R to Non-STEM Undergraduates in a Second-Semester Statistics Course Presentation Darlene Olsen, Norwich University
8:45 AM	The Statistics Workshop: Cultivating Diversity in Statistics Presentation Gretchen Martinet, University of Virginia; Jeffrey J. Holt, University of Virginia
8:50 AM	Statistical Programming to Principles of Data Science: Rethinking the Traditional Statistical Programming Curricula Andrew Hoegh, Montana State University
8:55 AM	Shiny Dashboards to Help Students Improve Performance Presentation Robert Carver, Brandeis International Business School
9:00 AM	A Hands-on Inferential Statistics Experiment: Do Students Perceive Value? Presentation Sudipta Roy, University of St. Francis; Richard Kloser, University of St. Francis
9:05 AM	How Students Make Sense of Data on an E-Learning Platform Presentation Philipp Burckhardt, Carnegie Mellon University; Christopher Genovese, Carnegie Mellon University; Rebecca Nugent, Carnegie Mellon University
9:10 AM	Efficacy of 'the Islands'-Based Projects Compared to Student-Collected Data Projects in Introductory Statistics Courses Presentation Ryne VanKrevelen, Elon University; Kirsten Doehler, Elon University; Andrea Metts, Elon University; Lisa Rosenberg, Elon University; Laura Taylor, Elon University
9:15 AM	The Impact of Academically Homogeneous Classrooms in Undergraduate Statistics Education Presentation James Pleuss, United States Military Academy
9:20 AM	A Didactic Game to Understand Multicollinearity and Its Consequences in a Linear Regression Model Presentation Luis Quiros Gomez, School of Statistics, University of Costa Rica; María José Solís Quirós, School of Statistics, University of Costa Rica; Noelia Rojas Ramírez, School of Statistics, University of Costa Rica
9:30 AM	The Novel Communication Tool: Mathematics Classroom Collaborator (MC2) Sohee Kang, University of Toronto Scarborough; Marco Pollanen, Trent University; Sotirios Damouras , University of Toronto Scarborough
9:35 AM	Predicting Student Performance in Undergraduate Introductory Statistics Courses Presentation Dusty Turner, USMA
9:45 AM	Type S Error Control in Hypothesis Testing Presentation Andrew Neath, SIU Edwardsville
9:50 AM	Affordable and Open Educational Resources (OER) in Statistical Education Suhwon Lee, Univ of Missouri
9:55 AM	Introducing Forecast Intervals with a Confidence Game Presentation Robin Lock, St. Lawrence University
10:00 AM	Teaching Statistical Consulting at Primarily Undergraduate Institutions Presentation Tracy Morris, University of Central Oklahoma; Cynthia Murray, University of Central Oklahoma ; Tyler Cook, University of Central Oklahoma
10:05 AM	Helping All Students Properly Design and Analyze Experiments Presentation Jennifer Broatch, Arizona State University
10:10 AM	Recreational Statistics at the Junior High/High-School Level Presentation Joy Yang, MIT
10:15 AM	Providing Introductory Students a Big Data Experience Paul Stephenson, Grand Valley State University; Patricia Stephenson, Grand Valley State University; Lori Hahn, Grand Valley State University

128	Mon, 7/30/2018, 8:30 AM - 10:20 AM	CC-West 115
Curricular Considerations for Statistics and Data Science Education — Contributed Papers
Section on Statistical Education, Business Analytics/Statistics Education Interest Group
Chair(s): Kevin McCarter, Louisiana State University
8:35 AM	Revisit: a Statistical Teaching Tool in R Presentation Tiffany Eunice Chen, UC Davis; Emily Watkins, UC Davis; Norman Matloff, University of California at Davis
8:50 AM	Developing an Introductory Data Science Course in a Computer Science Curriculum Presentation Dianna Spence, University of North Georgia
9:05 AM	Teaching Bayesian Statistics in Undergraduate Classes Presentation Ananda Jayawardhana, Pittsburg State University
9:20 AM	Statistics Projects in a PIC-MATH Course Debra Hydorn, University of Mary Washington
9:35 AM	Statistical Literacy and the Log-Normal Distribution Presentation Milo Schield, Augsburg College
9:50 AM	A Venn-Diagram Analysis of the Role of Statistics in Data Science Presentation John McKenzie, Babson College
10:05 AM	Floor Discussion

153 !	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-West 202
Creating and Sustaining an Undergraduate Research Program — Topic Contributed Papers
Section on Statistical Education, Business Analytics/Statistics Education Interest Group
Organizer(s): Justin Blaise Post, North Carolina State University
Chair(s): Nathan Tintle, Dordt College
10:35 AM	Understanding the Benefits and Barriers of Undergraduate Research in Statistics Kelly McConville, Swarthmore College; Joseph Nolan, Northern Kentucky University; Vittorio Addona, Macalester College; Nathan Tintle, Dordt College; Dennis Pearl, Penn State University
10:55 AM	Mentoring Undergraduate Research Students in the Spirit of the Liberal Arts: Adding Depth to Breadth Vittorio Addona, Macalester College
11:15 AM	Implementing a Department-Wide Undergraduate Research Program Justin Blaise Post, North Carolina State University
11:35 AM	Using University Athletic Programs as a Platform for Undergraduate Research Gilbert Fellingham, Brigham Young University
11:55 AM	Finding Undergraduate Research Projects: Pipelines Within a University Presentation Emily Griffith, NC State University; Stephany Dunstan, Office of Assessment, North Carolina State University
12:15 PM	Floor Discussion

181	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-West Hall B
Contributed Poster Presentations: Section on Statistical Education — Contributed Poster Presentations
Section on Statistical Education, Business Analytics/Statistics Education Interest Group
Chair(s): Paul McNicholas, McMaster University
4:	Statistical Problem-Solving Cycles While Solving Simulation Tasks During Guided Interviews Jonathan M Brown, University of Minnesota - Twin Cities; Robert C delMas, University of Minnesota - Twin Cities; Andrew S Zieffler, University of Minnesota - Twin Cities
5:	The Difference Two Data Points Can Make Kirk Anderson, Grand Valley State University; Mary Richardson, Grand Valley State University
6:	Engaging Students with Technology Jeffrey Woo, University of Virginia
7:	Creating Custom Take Home Exams for Statistics Courses with R Markdown Michael Rutter, Penn State Erie, The Behrend College
8:	Tools, Resources and Skills for Statistics Distance Learning/Blended Learning Xiaofang Shi, University of Kentucky
9:	Classroom Demonstration: Deep Learning for Classification and Prediction, Introduction to GPU Computing Eric Suess, CSU East Bay

196	Mon, 7/30/2018, 10:30 AM - 11:15 AM	CC-West Hall B
SPEED: Teaching Statistics: Strategies and Applications — Contributed Poster Presentations
Section on Statistical Education
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
1:	Introducing R to Non-STEM Undergraduates in a Second-Semester Statistics Course Darlene Olsen, Norwich University
3:	The Statistics Workshop: Cultivating Diversity in Statistics Gretchen Martinet, University of Virginia; Jeffrey J. Holt, University of Virginia
4:	Statistical Programming to Principles of Data Science: Rethinking the Traditional Statistical Programming Curricula Andrew Hoegh, Montana State University
5:	Shiny Dashboards to Help Students Improve Performance Robert Carver, Brandeis International Business School
6:	A Hands-on Inferential Statistics Experiment: Do Students Perceive Value? Sudipta Roy, University of St. Francis; Richard Kloser, University of St. Francis
7:	How Students Make Sense of Data on an E-Learning Platform Philipp Burckhardt, Carnegie Mellon University; Christopher Genovese, Carnegie Mellon University; Rebecca Nugent, Carnegie Mellon University
8:	Efficacy of 'the Islands'-Based Projects Compared to Student-Collected Data Projects in Introductory Statistics Courses Ryne VanKrevelen, Elon University; Kirsten Doehler, Elon University; Andrea Metts, Elon University; Lisa Rosenberg, Elon University; Laura Taylor, Elon University
9:	The Impact of Academically Homogeneous Classrooms in Undergraduate Statistics Education James Pleuss, United States Military Academy
10:	A Didactic Game to Understand Multicollinearity and Its Consequences in a Linear Regression Model Luis Quiros Gomez, School of Statistics, University of Costa Rica; María José Solís Quirós, School of Statistics, University of Costa Rica; Noelia Rojas Ramírez, School of Statistics, University of Costa Rica
11:	The Novel Communication Tool: Mathematics Classroom Collaborator (MC2) Sohee Kang, University of Toronto Scarborough; Marco Pollanen, Trent University; Sotirios Damouras , University of Toronto Scarborough
12:	Predicting Student Performance in Undergraduate Introductory Statistics Courses Dusty Turner, USMA
14:	Type S Error Control in Hypothesis Testing Andrew Neath, SIU Edwardsville
15:	Affordable and Open Educational Resources (OER) in Statistical Education Suhwon Lee, Univ of Missouri
16:	Introducing Forecast Intervals with a Confidence Game Robin Lock, St. Lawrence University
17:	Teaching Statistical Consulting at Primarily Undergraduate Institutions Tracy Morris, University of Central Oklahoma; Cynthia Murray, University of Central Oklahoma ; Tyler Cook, University of Central Oklahoma
18:	Helping All Students Properly Design and Analyze Experiments Jennifer Broatch, Arizona State University
19:	Recreational Statistics at the Junior High/High-School Level Joy Yang, MIT
20:	Providing Introductory Students a Big Data Experience Paul Stephenson, Grand Valley State University; Patricia Stephenson, Grand Valley State University; Lori Hahn, Grand Valley State University
Oral Presentations for this session.

212 * !	Mon, 7/30/2018, 2:00 PM - 3:50 PM	CC-West 109
An Emerging Ecosystem for Data Science/Statistics Education — Invited Papers
Section on Statistical Education, Section on Statistical Computing, SSC, Business Analytics/Statistics Education Interest Group
Organizer(s): Albert Y. Kim, Smith College
Chair(s): Albert Y. Kim, Smith College
2:05 PM	Version Control: The Gain You Get for Your Pain Presentation Jennifer Bryan, RStudio, University of British Columbia
2:25 PM	Using Data to Drive Curriculum Development Presentation Chester Ivan Ismay, DataCamp
2:45 PM	Authoring and Utilizing Open Source, Reproducible Statistics/Data Science Textbooks Presentation Alicia A Johnson, Macalester College
3:05 PM	Aligning Inference with the Tidyverse: Development of the Infer Package Presentation 1 Presentation 2 Andrew Paul Bray, Reed College
3:25 PM	Streamline Your Class with RStudio Presentation Garrett Grolemund, RStudio Inc.
3:45 PM	Floor Discussion

214 * !	Mon, 7/30/2018, 2:00 PM - 3:50 PM	CC-West 110
Academic Publication Is Dead, Long Live Academic Publication — Invited Papers
Section on Statistical Computing, Section on Statistical Education
Organizer(s): Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
Chair(s): Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
2:05 PM	The Lean Course: Open and Collaborative Online Course Development Presentation Sean Kross, The University of California San Diego
2:35 PM	Growing a Book in the Open: From Blog Post to O'Reilly Paperback Julia D Silge, Stack Overflow
3:05 PM	Middle Author Dilemma: How to Recognize Critical Contributions of Multidisciplinary Teams Melissa Gymrek, University of California San Diego
3:35 PM	Floor Discussion

269	Tue, 7/31/2018, 7:00 AM - 8:15 AM	CC-West Ballroom D
Section on Statistical Education A.M. Roundtable Discussion (Added Fee) — Roundtables AM Roundtable Discussion
Section on Statistical Education
Organizer(s): Stacey Hancock, Montana State University
TL08:	What's for Breakfast? How About Empiricism? Robert Carver, Brandeis International Business School

287	Tue, 7/31/2018, 8:30 AM - 10:20 AM	CC-West 210
Student Outcomes in Undergraduate Courses Using a Simulation-Based Inference Approach to Teaching Statistics — Topic Contributed Papers
Section on Statistical Education, Section on Statistical Computing, Business Analytics/Statistics Education Interest Group
Organizer(s): Nathan Tintle, Dordt College
Chair(s): Beth Chance, Cal Poly - San Luis Obispo
8:35 AM	Assessing Student Improvement in a Multi-Section Coordinated Simulation-Based Curriculum Stacey Hancock, Montana State University
8:55 AM	Simulation-Based Inference in a Large, Online Intro Course: Meaningful Assessment with Minimal Grading Presentation Erin Blankenship, University of Nebraska
9:15 AM	Assessing Students' Strengths and Weaknesses in Simulation-Based Introductory Statistics Courses at the Graduate and Undergraduate Levels Anelise Sabbag, Cal Poly State University
9:35 AM	Results from a Multi-Institution Study of the Progression and Retention of Student Learning Using Simulation-Based Inference Presentation Nathan Tintle, Dordt College
9:55 AM	Extending Simulation-Based Inference to a Conceptual Second Course in Statistics: Finding Meaning in a Multivariate World Presentation Karen McGaughey, Cal Poly State University
10:15 AM	Floor Discussion

295	Tue, 7/31/2018, 8:30 AM - 10:20 AM	CC-West 217
Innovative Approaches to Teaching Biostatistics Partially or Fully Online — Topic Contributed Papers
Section on Teaching of Statistics in the Health Sciences, Section on Statistical Education
Organizer(s): Ann M Brearley, University of Minnesota
Chair(s): Laura J Le, University of Minnesota
8:35 AM	Adult Learners , a Flipped Classroom, and an Online Biostatistics Course: a Recipe for Disaster? Presentation Martina Mueller, Medical University of South Carolina; Mary Dooley, Medical University of South Carolina
8:55 AM	Double Time: Integrating Online Learning Tools with a Flipped Classroom in a Public Health Statistics Course Presentation Brandon George, Thomas Jefferson University
9:15 AM	Active Learning Approaches for a Large Online Biostatistics Course Rebecca Andridge, The Ohio State University College of Public Health
9:35 AM	Flipping Online: Creating an Active Learning Classroom in an Online Biostatistics Course Presentation Ann M Brearley, University of Minnesota; Laura J Le, University of Minnesota
9:55 AM	Ideas for Creating and Teaching Online Biostatistics Courses for Those with Limited Resources Presentation Michael Jiroutek, Campbell University
10:15 AM	Floor Discussion

348	Tue, 7/31/2018, 10:30 AM - 12:20 PM	CC-West 112
Investigations into the Teaching and Learning of Statistics — Contributed Papers
Section on Statistical Education, Business Analytics/Statistics Education Interest Group
Chair(s): Joy Yang, MIT
10:35 AM	Developing a Student Survey of Motivational Attitudes Toward Statistics Presentation Alana Unfried, California State University, Monterey Bay; Sarah Coffin, California State University, Monterey Bay; April Kerby, Winona State University
10:50 AM	The Impact of a Growth Mindset Lecture on Traditional and Non-Traditional Statistics Students' Attitudes, Perceptions, Performance, and Retention Dr Nandini Bhowmick, Indiana State University; Dr Wendi Benson, Nevada State College
11:05 AM	Dynamic Patterns in Student Evaluations of Teaching After Switching from a Traditional to Blended Format Presentation James Schmidt, University of Nebraska - Lincoln
11:20 AM	Ensemble Learning for Estimating Individualized Treatment Effects in Student Success Studies Presentation Richard Levine, San Diego State University; Joshua Beemer, San Diego State University; Juanjuan Fan, San Diego State University
11:35 AM	Implementing the HyFlex (Hybrid-Flexible) Model of Course Delivery in a Probability and Statistics Course for Engineers and Scientists Presentation 1 Presentation 2 Jackie Miller, University of Michigan; Melinda E Baham, Baham Consulting
11:50 AM	Concept Maps, Feedback, and Statistics Learning: Exploring the Effects of Expert Map Feedback and Peer Feedback on Concept Map Structure Terry Hickey, St. Martin's University
12:05 PM	Statistics Education Across the University: a Systematic Review Presentation Aimee Schwab-McCoy, Creighton University

380	Tue, 7/31/2018, 2:00 PM - 3:50 PM	CC-West 206/207
Bringing Intro Stats into a Multivariate and Data-Rich World — Invited Papers
Section on Statistical Education, Business Analytics/Statistics Education Interest Group
Organizer(s): Jeff Witmer, Oberlin College
Chair(s): Ann Cannon, Cornell College
2:05 PM	Inference in Three Hours, and More Time for the Good Stuff Presentation Allen Downey, Olin College of Engineering
2:25 PM	Multivariable Thinking with Data Visualization Presentation Kari Lock Morgan, Pennsylvania State University
2:45 PM	Multivariate Thinking and the Introductory Statistics Course: Preparing Students to Make Sense of a World Full of Observational Data Presentation Nicholas J. Horton, Amherst College; Sarah C Anoke, Harvard TH Chan School of Public Health; Brendan Seto, Amherst College
3:05 PM	Intro Stats and Intro Data Science: Do We Need Both? Presentation Mine Cetinkaya-Rundel, Duke University
3:25 PM	Discussant: Jeff Witmer, Oberlin College
3:45 PM	Floor Discussion

404 *	Tue, 7/31/2018, 2:00 PM - 3:50 PM	CC-West 211
Effectively Explaining Statistical Concepts to Researchers from Other Fields — Topic Contributed Panel
Section on Statistical Consulting, Section on Statistical Education, Section on Teaching of Statistics in the Health Sciences, Survey Research Methods Section, Business Analytics/Statistics Education Interest Group
Organizer(s): Harry Dean Johnson, Washington State University
Chair(s): Harry Dean Johnson, Washington State University
2:05 PM	Effectively Explaining Statistical Concepts to Researchers from Other Fields Presentation 1 Presentation 2 Presentation 3
Panelists:	Natalie Blades, Brigham Young University Beth Chance, Cal Poly - San Luis Obispo Paul Roback, St Olaf College Heather Smith, Cal Poly Kim Love, K. R. Love Quantitative Consulting and Collaboration
3:40 PM	Floor Discussion

471 *	Wed, 8/1/2018, 8:30 AM - 10:20 AM	CC-West 205
Innovative and Effective Teaching for Large-Enrollment Statistics and Data Science Courses — Topic Contributed Papers
Section on Statistical Education, Section on Teaching of Statistics in the Health Sciences, Section on Statistical Computing, Business Analytics/Statistics Education Interest Group
Organizer(s): Matthew D Beckman, Pennsylvania State University
Chair(s): Kari Lock Morgan, Pennsylvania State University
8:35 AM	Effective Pedagogy in Large-Enrollment Statistics Courses Presentation Matthew D Beckman, Pennsylvania State University
8:55 AM	Large-Scale Interactives for Large-Enrolment Courses Anna Fergusson, The University of Auckland
9:15 AM	Teaching Data Science as a First Statistics Course to 1,000 Students Per Semester John DeNero, University of California, Berkeley; Ani Adhikari, University of California, Berkeley
9:35 AM	Productive Struggle Toward Statistical Thinking: Fostering a Student-Active Learning Environment in a Large Class Catherine Case
9:55 AM	Discussant: Chris Wild, University of Auckland
10:15 AM	Floor Discussion

496 * !	Wed, 8/1/2018, 10:30 AM - 12:20 PM	CC-West 215/216
Building a Computing Age #StatisticsCurriculum for Biomedical Scientists — Invited Papers
Section on Teaching of Statistics in the Health Sciences, Section on Statistical Learning and Data Science, Section on Statistical Education
Organizer(s): Sujata M Patil, Memorial Sloan Kettering Cancer Center
Chair(s): Jaya M Satagopan, Memorial Sloan Kettering Cancer Center
10:35 AM	A Guide to Teaching Data Science Presentation Rafael Irizarry, Harvard University
10:55 AM	Building and Teaching a Statistics Curriculum for Post-Doctoral Biomedical Scientists at a Free-Standing Cancer Center Presentation Sujata M Patil, Memorial Sloan Kettering Cancer Center; Ushma Neill, Memorial Sloan Kettering Cancer Center; Jaya M Satagopan, Memorial Sloan Kettering Cancer Center
11:15 AM	Experiences with Teaching Genomic Data Science Online Kasper Daniel Hansen, Johns Hopkins University
11:35 AM	Teaching Statistics to Basic Scientists: #KnowYourAudience Presentation Stacey J Winham, Division of Biomedical Statistics and Informatics, Mayo Clinic; Natasa Milic, University of Belgrade; Tracey L Weissgerber, Division of Nephrology and Hypertension, Mayo Clinic
11:55 AM	Discussant: Naomi S Altman, Pennsylvania State University
12:15 PM	Floor Discussion

523	Wed, 8/1/2018, 10:30 AM - 12:20 PM	CC-West 217
Fresh Approaches to Statistical Pedagogy — Contributed Papers
Section on Statistical Education, Business Analytics/Statistics Education Interest Group
Chair(s): Sybil Nelson
10:35 AM	On Assessing Large Sample Properties of Estimators: An Empirical Approach Presentation Sadia Sarker, Eastern Michigan University; Khairul Islam, Eastern Michigan University
10:50 AM	Extending the Applications of Simulation-Based Approaches in the Teaching of Elementary Statistics Sherry Hix, University of North Georgia; Dianna Spence, University of North Georgia
11:05 AM	Using Simulation Processes to Close the Background Gap Among Students Presentation Arturo Valdivia, Indiana University
11:20 AM	Early Introduction of Hypothesis Testing in Introductory Statistics: a Pilot Study Presentation Wei Wei, Metropolitan State University; Heidi Hulsizer, Benedictine College; Aminul Huq, University of Minnesota Rochester
11:35 AM	STEM Storytellers: Improving Graduate Students' Oral Communication Skills 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
11:50 AM	Reflections on 10 Years of Teaching Online Iain Pardoe, Thompson Rivers University
12:05 PM	A Generalized Z Score for Both Symmetric and Asymmetric Distribution Mian Adnan, Indiana University Bloomington

558 !	Wed, 8/1/2018, 2:00 PM - 3:50 PM	CC-West 212
Innovations in Teaching Undergraduate Probability — Invited Papers
Section on Statistical Education, Section on Teaching of Statistics in the Health Sciences, Section on Risk Analysis, Business Analytics/Statistics Education Interest Group
Organizer(s): Dennis L Sun, Cal Poly and Google
Chair(s): Dennis L Sun, Cal Poly and Google
2:05 PM	Teaching Probability via Stories and Mistakes Presentation Joseph Blitzstein, Harvard University
2:25 PM	A Simulation-Based Approach to Teaching Probability Using the Symbulate Package Presentation Kevin J Ross, Cal Poly; Dennis L Sun, Cal Poly and Google
2:45 PM	Teaching Markov Chains Using Java Applets Jeffrey S Rosenthal, University of Toronto
3:05 PM	Using Texas Hold 'Em Examples to Teach Probability Presentation Frederic Paik Schoenberg, UCLA
3:25 PM	Discussant: Amy Wagaman, Amherst College
3:45 PM	Floor Discussion

560 * !	Wed, 8/1/2018, 2:00 PM - 3:50 PM	CC-East 19
Staying Statistically Relevant: Keep Your Skills Sharp! — Invited Papers
Section on Statistical Consulting, Section on Statistical Education, Section on Teaching of Statistics in the Health Sciences, Business Analytics/Statistics Education Interest Group
Organizer(s): Adin-Cristian Andrei, Northwestern University
Chair(s): Peter John De Chavez, PepsiCo
2:05 PM	Do as I Say, Not as I Do: Learning from My Mistakes as a Statistical Collaborator Richard De Veaux, Williams College
2:25 PM	Data for Good: Staying Sharp While Giving Back David Corliss, Peace-Work
2:45 PM	An Old Dog Self-Teaching New Tricks Presentation Mithat Gonen, Memorial Sloan Kettering Cancer Center
3:05 PM	Project Redux: If I Knew Then What I Know Now Presentation Mary J Kwasny, Northwestern University
3:25 PM	Discussant: Adin-Cristian Andrei, Northwestern University
3:45 PM	Floor Discussion

216529	Wed, 8/1/2018, 6:00 PM - 7:30 PM	F-Cheakamus
Section on Statistical Education Business Meeting — Other Cmte/Business
Section on Statistical Education
Chair(s): Beth Chance, Cal Poly - San Luis Obispo

624 !	Thu, 8/2/2018, 8:30 AM - 10:20 AM	CC-West 210
GAISEing into Introductory Service Courses in Light of Analytics/Data Science — Topic Contributed Panel
Section on Statistical Education, Business Analytics/Statistics Education Interest Group
Organizer(s): Amy L Phelps, Duquesne University
Chair(s): John Draper, The Ohio State University
8:30 AM	GAISEing into Introductory Service Courses in Light of Analytics/Data Science Presentation
Panelists:	Amy L Phelps, Duquesne University Beverly Wood, Embry-Riddle Aeronautical University, Worldwide Mark Eakin, University of Texas Arlington Mia Stephens, SAS Istitute, JMP Division George Recck, Babson College
10:10 AM	Floor Discussion

651 * !	Thu, 8/2/2018, 10:30 AM - 12:20 PM	CC-West 203
Expanding the Tent: Undergraduate Majors in Data Science — Invited Papers
Section on Statistical Education, Section on Statistical Learning and Data Science, Section on Statistical Computing, SSC
Organizer(s): Ben Baumer, Smith College
Chair(s): Ben Baumer, Smith College
10:35 AM	Dismantling Math, Stats, and CS Silos: PCMI Guidelines for Undergraduate Majors in Data Science Presentation Albert Y. Kim, Smith College
10:50 AM	Pathways Through the Major in Statistical and Data Science at Smith Presentation Randi L. Garcia, Smith College
11:05 AM	Herding Cats: Pros and Cons of a Large-Team Approach to Data Science at a Major Research University David Hunter, Penn State University
11:20 AM	Designing a Group Major in Data Science Deborah Nolan, University of California, Berkeley
11:35 AM	Discussant: Joseph Blitzstein, Harvard University
11:50 AM	Discussant: Mine Cetinkaya-Rundel, Duke University
12:05 PM	Floor Discussion

JSM 2018 Online Program

Activity Details

American Statistical Association