Data Science Summer Hangouts
Each summer, DDDI 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. Here are some themes we've explored in the past:
- 2025 - Machine learning, statistics, optimization, and generative AI for scientific discovery across fields.
- 2024 - Causal inference, machine learning, and generative AI for scientific discovery across fields.
- 2023 - A “choose your own adventure” through data science.
Hangouts will be held twice a week. A pizza lunch will be provided. All talks and tutorials will take place in the RDDSX space, conveniently located near the Collaborative Classroom in Van Pelt-Dietrich Library. Below you'll find our past hangouts with recordings.
Upcoming Summer Hangouts
Past Summer Hangouts
Summer Hangouts: Jingye Yang and Carlos Schmidt-Padilla
Introduction to LLMs and Introduction to Causal Inference
RDDSX space outside the Collaborative Classroom
Van Pelt-Dietrich Library
Summer Hangouts: Vlad Ayzenberg, Sam Dillavou, and Kieran Murphy
First steps with Python and Introduction to Machine Learning
RDDSX space outside the Collaborative Classroom
Van Pelt-Dietrich Library
Data Science Summer Hangouts Series 2023
RDDSX space outside the Collaborative Classroom
Van Pelt-Dietrich Library
Summer Hangouts: Colin Twomey and Sarah Lee
Coding for Data Science and First Steps with R
RDDSX space outside the Collaborative Classroom
Van Pelt-Dietrich Library
Summer Hangouts: Allyson Mackey, David Abrams, Bhaswar Bhattacharya, and Kieran Murphy
Environmental Influences on Brain Development, Improving Criminal Justice System with Data Science, H12 Graph-Based Methods for High-Dimensional Inference, and Seeing from the shoulders of giants: Computer vision and Pre-trained models
Faculty Talks at Meyerson B1, Hangout at lounge outside Meyerson B1, Tutorials at Meyerson B13
Summer Hangouts: Martha Farah, Erol Ackay, and Dimitrios Tanoglidis
SES, brain, inflammation, and depression: Carving (unhappy) nature at its joints, What determines social status? The case of spotted hyenas, and Intro to Deep Learning
Faculty Talks at Meyerson B1, Hangout at lounge outside Meyerson B1, Tutorials at Meyerson B13
Summer Hangouts: Sundeep Bhatia, Mike Levy, and Ivan Simpson-Kent
Predicting Heath Judgement, Levering Data to Control Insects in Cities, and Structural Equation Modeling (SEM)
Faculty Talks at Meyerson B1, Hangout at lounge outside Meyerson B1, Tutorials at Meyerson B13
Summer Hangouts: Nancy Zhang, Gary Bernstein, and Kieran/Sam
Statistical Challenges in Single Cell Genomics, How tree structures helped us find the comets, and Intro to Machine Learning
Faculty Talks at Meyerson B1, Hangout at lounge outside Meyerson B1, Tutorials at Meyerson B13
Summer Hangouts: Hanming Fang, Duncan Watts, and Roland Neil
Money in Politics: Forensic Data Analysis of Political Action Committees, Measuring Bias and Misinformation in the News, and Data visualization
Faculty Talks at Meyerson B1, Hangout at lounge outside Meyerson B1, Tutorials at Meyerson B13
Summer Hangouts: Karen Chow and Colin Twomey
An unsupervised learning approach to music performance anxiety, A first look at linear regression
Faculty Talks at Meyerson B1, Hangout at lounge outside Meyerson B1, Tutorials at Meyerson B13