Summer Hangouts
Data Science Hangouts Summer 2024 starts this June! Check out the 2024 talk and tutorial schedule!
Each summer, DDD hosts a data science workshop for undergraduates involved in research. Penn faculty members from both the natural and social sciences present work that applies data science to their research. Undergraduates also attend tutorials led by our postdocs and graduate students on data science methods. This article by Omnia highlights some of the student experiences from the 2019 hangouts. See our 2019 and 2020 schedule of faculty speakers and tutorials. Click here to view our 2022 schedule, which was held in-person and virtually. Last year’s 2023 schedule of speakers (including links to slides and tutorials) and recordings are available. Below are some examples of our past faculty talks.
Philip Gressmen, Department of Mathematics
Simulating COVID-19 in a University Environment
Junhyong Kim, Patricia M. Williams Term Professor and Chair, Biology (begin at 32:08)
How Do We Track Where COVID-19 Virus Comes From? Estimating Geneaologies From DNA Sequences
Joshua Plotkin, Walter H. and Leonore C. Annenberg Professor of the Natural Sciences
Evolutionary Forces of Cultural Change
Sudeep Bhatia, Associate Professor of Psychology (begin at 32:55)
High Dimensional Word Embeddings to Predict Human Judgment
Robyn Sanderson, Assistant Professor of Physics and Astronomy
Machine Learning in the Milk Way
David Brainard, RRL Professor of Psychology (begin at 33:47)
Data-Driven Model of Human Color Vision
Brent Cebul, Assistant Professor of History
Renewing Inequality and Mapping Historical Data
Shane Jensen, Professor of Statistics and Data Science (Wharton) (begin at 31:40)
Urban Analytics in Philadelphia: How Can We Use Data to Improve Our Cities?
Xi Song, Associate Profesor of Sociology
Understanding Misperceptions of Inequality in China Using Print and Social Media Data
Bhuvnesh Jain, Walter H. and Leonore C. Annenberg Professor in the Natural Sciences (begin at 35:01)
Why is the Universe Expanding So Rapidly?