eUSR 2020 - Program

Virtual Video Presentation Session

Presenters will be standing by from 11:30 am - 12:00 pm (ET) to answer your questions. If you would like to post a comment, simply log in with one of the social media services listed or post as a guest by signing up with Disqus (first name and e-mail required).

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Opening Remarks

By Mine Dogucu, Assistant Professor of Teaching, University of California Irvine

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Plenary Talks by USPROC Award Winners

12:10 - 12:20 pm: Elizabeth Guo, Harvard University

• Analyzing Demographics & Votes of the U.S. Supreme Court

12:21 - 12:31 pm: Jonathan Garber, David Rice, and Keegan Line, Western Washington University

• Effect of Stay-At-Home Orders on the Growth Rate of COVID-19 cases

12:32 - 12:42 pm: Kevin Ros, Henrik Olsson, and Jingchen (Monika) Hu, Vassar College

• Two-Phase Data Synthesis for Income: An Application to the NHIS

12:43 - 12:54 pm: Jeremy Bruton, Lawrence University

• Does the Defensive Shift Employed by an Opposing team affect an MLB team's Batted Ball Quality and Offensive Performance?

12:55 - 1:05 pm: Mary Jane Uzzi and Lu Li, Grinnell College

• An Evaluation of the Factors Influencing College Graduation Rate

1:06 - 1:16 pm: Heesu Kim, Harshini Raman, Talia Benheim, Sophie Barowsky, Wellesley College

• Assessing Bias in Original & Updated Reading the Mind in the Eyes Test (RMET)

1:17 - 1:27 pm: Samantha Kilcoyne, Huijun Huang, Maya Cords, Williams College

• Factors on High School Graduation Rates in Chicago Public Schools

1:28 - 1:38 pm: Giulia Bronzi, Hannah Kim, Willa Sun, and Nikki Tong, Wellesley College

• Predicting the Outcome of Dogs at the Austin Animal Center

1:39 - 1:49 pm: Sam Olson, Olek Wojcik, and Paul Nguyen, Reed College

• Improving Precision of Forestry Estimation

1:50 - 2:00 pm: Clara Li and Rose Porta, Smith College

• Analysis of Sleep and Depression as Risk Factors for Diabetes

Keynote Address

Data Science as a Team Sport

Abstract: Data Science careers are in high demand, with many job opportunities and attractive salaries. As a relatively new career, it is ambiguously defined, and the job description of a data scientist can vary greatly from company to company. For those reasons, Data Science has attracted both new grads and career changers from all sorts of different fields. For Statisticians, Data Science is an exciting opportunity to apply your hard-earned skills to a variety of interesting and challenging problems. Having a solid Statistics background will give you a head start in that direction. However, Data Science is much more than pure Statistics knowledge. Being able to recognize and take advantage of a team with a diverse set of experiences will provide you with a unique opportunity to grow individually while benefiting your entire team. In this talk, I will walk you through my career journey, the different roles a Data Scientist can take, useful skills for a successful career and lessons learned.

Gabriela de Quieroz (Senior Engineering & Data Science Manager, IBM)

Student Moderators: Declan Cassidy and Emily Potts, Vassar College

Graduate School Information Session

Olivia Bernstein (Ph.D. Candidate, University of California Irvine)

Kelsey Grinde (Assistant Professor, Macalester College)

Letisha Smith (Data Scientist, Teachers Pay Teachers)

Student Moderators: Ethan Ashby and Amber Lee, Pomona College

Panel Discussion About Careers in Industry and Government

Jennifer Halbleib (Data Scientist, MassMutual)

Catherine Jiang (Data Scientist, DoorDash)

Jenny Thompson, (Methodology Director, US Census)

Student Moderators: Eric Tay and Martha Aboagye, Duke University

Closing Remarks