12:00 - 1:30 p.m. EDT:
Plenary Talks by USPROC Award Winners (Undergraduate Students)
Moderator: Becky Tang, Swarthmore College
12:00 - 12:15 p.m.
Speaker: Hope Johnson, Macalester College
12:15 - 12:30 p.m.
Speaker: Nick Solomon, DataCamp
12:30 - 12:45 p.m.
Speaker: Jennifer Niemann, Marshall University
12:45 - 1:00 p.m.
Speakers: Subashini Sridhar, Ji Won Chung, Zainab Rizvi, and Ji Young Yun, Smith College
1:00 - 1:30 p.m.
Announcements & Prize Drawings
1:30 - 2:15 p.m. EDT:
Keynote Address by David Robinson, Data Scientist, Stack Overflow
Moderators: Katherine Jolly and Fiona Adams, Macalester College
The best approach to a data science career involves discipline, organization, and patience. So what do you do if you have none of those traits? In this talk, I'll share strategies for entering a career in data science or statistics, based on my own experience working as a Data Scientist at Stack Overflow and my history as an inveterate procrastinator. With the right philosophy, procrastination can a surprisingly productive strategy that is especially well-suited to the modern field of data science. Putting off urgent but unimportant work can help procrastinators focus on more meaningful long-term projects, or on improving their own skill set. Most importantly, this fits well with a philosophy of producing public work in the form of blogs, open source projects, and social media, which is among the most effective ways to join the data science community and advance one's own career. These strategies work well even for aspiring data scientists with healthier work habits.
2:15 - 3:00 p.m. EDT:
Virtual Poster Session
Presenters will be standing by to answer your questions during this time. 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).
- Brittany Alexander - A Bayesian Model for the Prediction of United States Presidential Elections
- Chenlin Cheng - Randomized Gompertzian Growth Models for Solid Rat Tumors
- Emma Remy - Where are Volcanoes Erupting? Mapping with R and R Shiny
- Azka Javaid - Predicting Flights Delays using the H2O Machine Learning Platform in R
- Clayton Frink, David Kalfas, Austin Quillen - Golf Handicapping Analysis
- Nathan Sanders - The Performance of Model Averaging Relative to Individual Models for Testing Hormesis
- Lisa Oshita - Survival Analysis of iFixit's Online Question and Answer Forum
- Tuan Nguyen, Joe Zeimen, Zachary Alexander - Extracting structured data for Relevance Ranking
- Jarren Santos - pHew! That’s a Relief: Assessing Drinking Water Quality and Treatment of Water Supply
- Katie Jolly - How Women in Tech Talk About Themselves on Twitter
3:00 - 5:00 p.m. EDT:
Professional Development Panels
Please join us for several panels focused on graduate school, industry jobs, and diversity in our fields led by leaders in these fields.
3:00 - 3:35 p.m. - Graduate School Panel
Moderated by: Dan Sweeney, University of Michigan
- Julian Wolfson, Assistant Professor, University of Minnesota School of Public Health
- Bruce Craig, Professor, Purdue University
- Heather Berlin, Graduate Student, Massachusetts Institute of Technology
3:40 - 4:15 p.m. - Careers in Industry Panel
Moderated by: Han Zhang and Sai Bolla, University of Michigan
- Nick Chamandy, Head of Data Science, Lyft
- An Xia, SMB Operations Analyst, Facebook
- Chandra Erdman, Senior Solutions Consultant, Google
4:20 - 5:00 p.m. - Diversity in Statistics Panel
Moderated by: Alyssa Farmer and Sally Dufek, Northern Kentucky University
- Harold Gomes, Mathematical Statistician, US Bureau of Labor Statistics
- Erin Wiley, Senior Survey Statistician, Westat
- Charlotte Wickham, Assistant Professor of Statistics, Oregon State University