Data Science Summer Hangouts

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

No events are currently scheduled.
Please check back soon.

Past Summer Hangouts

Data Science Summer Hangouts Series 2020

The summer 2020 hangout is intended for undergraduate students whose summer research involves quantitative analysis of datasets, including variants of machine learning.

Summer Hangouts: Bhuvnesh Jain, Sara Casella, Dan Hopkins, and Ann Sizemore

Introduction to data science hangout, Using text to understand politics & public opinion, and Basics of probability and statistics

Share your research experience with other undergrads, discuss our faculty talks, and more!

Summer Hangouts: Professor Shane Jensen and Professor Eleni Katifori

Urban Analytics in Philadelphia: How can we use data to improve our cities?; Leaf Fingerprinting: applying persistence homology and data driven discovery to the network of plant leaf veins

Collaborative Classroom in the Weigle Information Commons at the Van Pelt library

The summer 2019 hangout is intended for undergraduate students whose summer research involves quantitative analysis of datasets, including variants of machine learning.

Summer Hangouts: Dr. Matt Killingsworth, Lingqi Zhang

Human Happiness in High Resolution: Insights from large-scale experience sampling; Tutorial: Ridge Regression and related topics in regression analysis

Collaborative Classroom in the Weigle Information Commons at the Van Pelt library

The summer 2019 hangout is intended for undergraduate students whose summer research involves quantitative analysis of datasets, including variants of machine learning.

Summer Hangouts: Martha Farah and Student Presentations

Big, Publicly Available Data Sets for Cognitive Neuroscience: advantages, challenges, and what we’ve been doing with one of them (the Human Connectome Project); Student Presentations

Collaborative Classroom in the Weigle Information Commons at the Van Pelt library

The summer 2019 hangout is intended for undergraduate students whose summer research involves quantitative analysis of datasets, including variants of machine learning.

Summer Hangouts: Robert J. DuRubeis, Bhuvnesh Jain, Sebastian Gonzalez, and Jacob Nibauer

The Application of Multivariable Prediction Models to Aid Decision-making in Mental Health Contexts; Introduction to Machine Learning; Application of Machine Learning to Galaxy Classification and Introduction to Neural Networks

Collaborative Classroom in the Weigle Information Commons at the Van Pelt library

The summer 2019 hangout is intended for undergraduate students whose summer research involves quantitative analysis of datasets, including variants of machine learning.

Summer Hangouts: David Brainard, Junhyong Kim

Data-driven Modeling of Human Color Vision; High Dimensional data Reduction and Visualization in Genomics

Collaborative Classroom in the Weigle Information Commons at the Van Pelt library

The summer 2019 hangout is intended for undergraduate students whose summer research involves quantitative analysis of datasets, including variants of machine learning.

Summer Hangouts: Greg Ridgeway, Masao Sako

Gang Injunction, Public Transit and Crime, Homeless Shelters and Crime; Tutorial: Linear Regression Pt. II

Collaborative Classroom in the Weigle Information Commons at the Van Pelt library

The summer 2019 hangout is intended for undergraduate students whose summer research involves quantitative analysis of datasets, including variants of machine learning.

Summer Hangouts: Richard Berk, Masao Sako

How to Predict and Prevent Mass Shootings in the U.S.; Tutorial: Linear Regression

Collaborative Classroom in the Weigle Information Commons at the Van Pelt library

The summer 2019 hangout is intended for undergraduate students whose summer research involves quantitative analysis of datasets, including variants of machine learning.

Data Science Summer Hangouts Series 2019

Collaborative Classroom in the Weigle Information Commons at the Van Pelt library

The summer 2019 hangout is intended for undergraduate students whose summer research involves quantitative analysis of datasets, including variants of machine learning.