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Key:
Computational Statistics
Data Science Technologies
Data Visualization
Education
Machine Learning
Practice and Applications
Software
Wednesday, May 29
PS01 -
Opening Mixer & E-Posters
E-Poster
Wed, May 29, 5:30 PM - 7:00 PM
Grand Ballroom Foyer
1
Spatial Statistics and Visualization of Public Health Outcomes
Presentation
Weichuan Dong, Kent State University
2
Teaching the ASA Guidelines in a Cross-Cultural Setting
Jing Cao, Southern Methodist University
3
The Daily Question: Building Student Trust and Interest in Undergraduate Introductory Probability and Statistics Courses
Presentation
Matthew A. Hawks, US Naval Academy
4
Extending the Grammar of Graphics beyond ggplot2
Silas Bergen, Winona State University
5
Using Data Science to Support Enrollment Decisions in Higher Education
Monica M King, Drexel University
6
Data-Driven College Admissions: Useful Metrics or Numeric Nonsense?
Emily Rose Flanagan, University of Washington
7
Using Data Verbs to Teach the Management of Tabular Data
Chris John Malone, Winona State University
8
A Shiny Application to Teach the Multiple Linear Regression Analysis in a Undergraduate Course
Presentation
Carlos M. Lopera-Gómez, Universidad Nacional de Colombia
9
Predicting Matriculation Rates of Dual Enrollment High School Students
Presentation
Benjamin Kenneth Brown, Oregon Institute of Technology
10
A Meta-analysis on the Effect of Information and Communication Technology Tools in Second Language Acquisition
Presentation
Songtao Wang, University of Victoria
11
Building Statistical Understanding to Support Organizational Data Culture
Karin Neff, BSD7
Thursday, May 30
CS07 -
Reimagining & Introducing New Pedagogy
Contributed
Thu, May 30, 10:30 AM - 12:05 PM
Regency Ballroom C
Chair(s): Julie Zhang, University of Washington
10:35 AM
DATA SCIENCE CERTIFICATION AT MSC – UPR
Abiel Roche-Lima, RCMI-Medical Science School - University of Puerto Rico
10:50 AM
Clinical Data Wrangling: An Active and Didactic Learning Workshop
Ted Laderas, Oregon Health & Science University
11:05 AM
What Can Data Science Look Like in High School?
Presentation
Tim Erickson, Epsitemological Engineering and Lick-Wilmerding High School
11:20 AM
Teaching Upper Level Statistics Courses through a Shared/Hybrid Model
Presentation
Jingchen Hu, Vassar College
11:35 AM
Data Science and the Pedagogical Reform of Introductory Statistics
Presentation
Brendan Patrick Purdy, Moorpark College
11:50 AM
Floor Discussion
CS10 -
Data Science's X-Factor
Invited
Thu, May 30, 1:30 PM - 3:05 PM
Regency Ballroom C
Organizer(s): Katherine M. Kinnaird, Smith College
Chair(s): Mine Dogucu, .
1:35 PM
Student Difficulties in Data Science Instruction: Early Findings
Karl R. B. Schmitt, Valparaiso University
2:05 PM
Data Science In/Among/With/Toward the Humanities
Presentation
John Laudun, University of Louisiana
2:35 PM
Data Physicalizations: Where Art, Data, and Domain Applications Combine
Katherine M. Kinnaird, Smith College
CS18 -
Communication Within and Beyond the Modern Data Science/Statistics Classroom
Invited
Thu, May 30, 4:00 PM - 5:35 PM
Regency Ballroom C
Organizer(s): Alicia Johnson, Macalester College
Chair(s): Christina Phan Knudson, University of St. Thomas
4:05 PM
Agile, Reproducible, and Accessible: Using Bookdown for Communication Within and Beyond the Classroom
Alicia Johnson, Macalester College
4:35 PM
Using Slack for Communication and Collaboration in the Classroom
Presentation
Albert Y. Kim, Smith College
5:05 PM
Using Blogdown to Connect Beyond the Classroom
Presentation
Alison Hill, RStudio
Friday, May 31
CS21 -
A Field Guide to Education Tools in Data Science
Invited
Fri, May 31, 10:30 AM - 12:05 PM
Grand Ballroom I
Organizer(s): Alison Hill, RStudio
Chair(s): Alison Hill, RStudio
10:35 AM
Necessity Is the Mother of Invention: Evolution of a Data Science Team
Adrienne Zell, Oregon Health and Science University
11:05 AM
Using Unit Testing to Teach Data Science
Presentation
Kyle Gorman, CUNY
11:35 AM
Data Presentation For Everyone: Simple Ways to Educate without Teaching
Presentation
Allison Sliter, Digimarc Inc
CS31 -
Instructional Applications & Insights
Contributed
Fri, May 31, 1:30 PM - 3:05 PM
Grand Ballroom I
Chair(s): Emily Rose Flanagan, University of Washington
1:35 PM
Apply “STEAMS” Methodology on Managing Europe Travel
Charles Chen, Applied Materials
1:50 PM
A Robust and Dynamic Formulation for Predicting Student Offer Acceptance
Michael Liut, McMaster University
2:05 PM
P-Values: A Closer Look
Jeanne Li, Santa Barbara Cottage Hospital
2:20 PM
Floor Discussion
CS38 -
Engaging Students in Statistics & Data Science
Contributed
Fri, May 31, 3:40 PM - 5:15 PM
Grand Ballroom I
Chair(s): Ted Laderas, Oregon Health & Science University
3:45 PM
STEAMS Approach on Playing Video Games
Mason Chen, Stanford OHS
4:00 PM
Competition Based Teaching of Machine Learning
Presentation
Mikael Vejdemo-Johansson, CUNY College of Staten Island
4:15 PM
USING R and SPSS for TEACHING STATISTICS
Lucy Xiaojing Kerns, Youngstown State University
4:30 PM
Tools for R in Introductory Statistics Courses
Kelly Nicole Bodwin, Cal Poly - San Luis Obispo
4:45 PM
Teaching Data Science Students to Write Clean Code
Presentation
Todd Iverson, Winona State University
5:00 PM
Hack Weeks as a Model for Data Science Education and Collaboration
Daniela Huppenkothen, University of Washington
CS41 -
Incorporating Ethics and Inclusion in Undergraduate Statistics Curriculum
Invited
Fri, May 31, 5:20 PM - 6:25 PM
Grand Ballroom I
Organizer(s): Brianna Heggeseth, Macalester College
Chair(s): Jingchen Hu, Vassar College
5:25 PM
Ethics in an Advanced Undergraduate Seminar: Statistical Analysis of Social Network Data
Miles Q. Ott, Smith College
5:55 PM
Intertwining Data Ethics into Intro Stats
Presentation
Brianna Heggeseth, Macalester College
Saturday, June 1
CS60 -
Expanding the Toolkit for Teaching Statistics
Invited
Sat, Jun 1, 2:45 PM - 3:50 PM
Regency Ballroom EF
Organizer(s): Alicia Johnson, Macalester College
Chair(s): Mikael Vejdemo-Johansson, CUNY College of Staten Island
2:50 PM
(A Picture-Book Approach To) Teaching the Analytics Process
Ruth M Hummel, SAS Institute / JMP Division
3:20 PM
Teaching Data Science Using Jupyter Notebooks and Binder
Presentation
Brian Kim, University of Maryland
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