Past Events
Summer Hangouts: Eleni Katifori, Matt Killingsworth, and Pedro Bernardinelli
Network design in leaves, river deltas and human vasculature; Human Happiness in High Resolution: Insights from large-scale experience sampling; Basics of programming in Python
Share your research experience with other undergrads, discuss our faculty talks, and more!
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!
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: 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.