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Computational Statistics

Data Visualization

Education

Machine Learning

Practice and Applications

Software & Data Science Technologies

Wednesday, June 3

Real-Life Data Analysis Experiences for Statistics and Data Science Students Fill out evaluation
Invited

Wed, Jun 3, 1:15 PM - 2:50 PM

Organizer(s): Nicole Lazar, University of Georgia

Chair(s): David Hunter, Penn State University

1:20 PM

Data Science Clinic: A Capstone Experience for Smithies in SDS
Benjamin S Baumer, Smith College

1:50 PM

Team-Based Learning in a Statistical Consulting Course
Presentation John Gabrosek, Grand Valley State University

2:20 PM

A Year-Long Writing-Intensive Capstone in Statistics
Lynne Seymour, University of Georgia

Thursday, June 4

Education 1 Fill out evaluation
Contributed Refereed

Thu, Jun 4, 10:00 AM - 11:35 AM

Chair(s): Donna LaLonde, American Statistical Association

10:05 AM

Teaching the Gestalt Principles to Help Undergraduate Students Design Effective Tables and Graphs
Silas Bergen, Winona State University

10:20 AM

Bringing Visual Inference to the Classroom
Presentation Adam Loy, Carleton College

10:35 AM

Data Management with Data Verbs
Presentation Todd Iverson, Winona State University

10:50 AM

Beyond NYC Flights in Intro to Data Science: Curtis Flowers and the Role of Race in Jury Selection
Presentation Paul Roback, St. Olaf College

11:05 AM

Q&A

Education and Data Visualization Posters
E-Poster

Thu, Jun 4, 10:00 AM - 1:00 PM

Poster Q&A will be available during these designated hours as part of the virtual conference.

Exploring Technical Competencies Needs for Future Information Technology Workforce
Ana Valentin, Marymount University

WITHDRAWN The Arcus Learning Exchange: Cross-Departmental Education Development at the Children's Hospital of Philadelphia

Increasing Diversity in Biomedical Data Science: Implementation and Impact of Best Practices
Judith E Canner, California State University, Monterey Bay

ACM Draft 2 Computing Competencies for Undergraduate Data Science
Karl Schmitt, Valparaiso University

A Statistician Teaches Deep Learning: From Fundamentals to Applications
David Han, The University of Texas at San Antonio

Identifying Academic At-Risk Students with Consistence Validation Using Predictive Analytics
Jianbin Zhu, University of Central Florida

Educational Tool and Active-Learning Class Activity for Teaching Agglomerative Hierarchical Clustering
Xizhen Cai, Williams College

REDCap and RShiny Together to Survey and Deliver Personalized Feedback of a Well-Being Assessment
Duncan Grade Vos, WMU School of Medicine

Modified Box Plots for Arithmetic, Geometric, and Harmonic Observations
Mian Arif Shams Adnan, Bowling Green State University

Geometries of the Connections of the Graphical Presentations of Several Statistical Tools
Mian Arif Shams Adnan, Bowling Green State University

CatViz for Visual Exploration of High-Dimensional Categorical Data Sets
Raif Rustamov, AT&T Labs Research

A Range-Based Box Plot
Mian Arif Shams Adnan, Bowling Green State University

Building an Open-Sourced Geospatial Visualization Shiny Application in R for Healthcare Providers and Evaluators
Dar'ya Y Pozhidayeva, Oregon Health & Science University

Harnessing the Power of Data to Promote Institutional Change at Higher Education Institutions Fill out evaluation
Invited

Thu, Jun 4, 11:40 AM - 12:45 PM

Organizer(s): Kameryn Denaro, UC Irvine

Chair(s): Wendy Martinez, Bureau of Labor Statistics

11:45 AM

Making an Impact in an Institutional Research Office: On Data Champions and Machine Learning
Presentation Richard A. Levine, San Diego State University

12:15 PM

A Data-Driven Approach to Promoting Innovation and Excellence in Teaching at Higher Education Institutions
Presentation Kameryn Denaro, UC Irvine

Community Engagement Through Data Science Education Fill out evaluation
Invited

Thu, Jun 4, 1:20 PM - 2:55 PM

Organizer(s): Leah Jager, Johns Hopkins Bloomberg School of Public Health

Chair(s): Leah Jager, Johns Hopkins Bloomberg School of Public Health

1:25 PM

Can Data Science Education Be Used as a Tool for Upward Mobility?
Presentation Aboozar Hadavand, Johns Hopkins University, Bloomberg School of Public Health

1:55 PM

Incorporating Community-Based Learning Into the Classroom
Presentation Lynne Steuerle Schofield, Swarthmore College

2:25 PM

Statistics in the Community: Community-University Partnerships Fostering Data Science Education
Presentation Stephen Salerno, Department of Biostatistics, University of Michigan

Friday, June 5

Statistics for the Engaged Citizen: Revising Educational Practices to Increase Relevance in Everyday Life Fill out evaluation
Invited

Fri, Jun 5, 11:15 AM - 12:50 PM

Organizer(s): Leslie Myint, Macalester College

Chair(s): Leslie Myint, Macalester College

11:20 AM

Best Practices for Teaching R Programming to Students: A Randomized Controlled Trial
Presentation Lucy D'Agostino McGowan, Wake Forest University

11:50 AM

Real Data Analysis in the Classroom Through the Use of Case Studies
Leah Jager, Johns Hopkins Bloomberg School of Public Health

12:20 PM

Q&A

Education 2 Fill out evaluation
Contributed Refereed

Fri, Jun 5, 3:30 PM - 5:05 PM

Chair(s): Zhi Yang, USC

3:35 PM

Data Science in 2020: Computing, Curricula, and Challenges for the Next 10 Years
Aimee Schwab-McCoy, Creighton University

4:05 PM

Hosting a Data Science Hackathon with Limited Resources
Christopher Wedrychowicz, Saint Mary's College

4:35 PM

Q&A

Online Program

Viewing Track 'Education' only

Key:

ASA Meetings Department