Past Events
Summer Hangouts: Sam Dillavou and Kieran Murphy
Introduction to Machine Learning
RDDSX space outside the Collaborative Classroom
Van Pelt-Dietrich Library
What is machine learning, how is it used, what does it do well, and where does it go wrong?
Summer Hangouts: Emerson Arehart
Time series forecasting with models and data
RDDSX space outside the Collaborative Classroom
Van Pelt-Dietrich Library
Science often involves forecasting future behavior based on past observations, but this can be very challenging when you have limited observations of a system. We will discuss methods for augmenting limited datasets with theoretical models to improve forecasting success. Slides…
Summer Hangouts: Carlos Schmidt-Padilla
Introduction to Causal Inference for Data Science
RDDSX space outside the Collaborative Classroom
Van Pelt-Dietrich Library
This tutorial will explain how causal inference can help reveal cause-and-effect relationships between variables or events, and explore its applications in technology, health sciences, and the social sciences.
Summer Hangouts: Lyle Ungar and Louis Hickman
Assessing Interpersonal Judgments using Explainable AI
RDDSX space outside the Collaborative Classroom
Van Pelt-Dietrich Library
We use deep learning models to predict ratings of the warmth, competence, and morality of people introducing themselves in short videos. By showing which multimodal features drive these predictions, we provide insight into first impression formation.
Data Science Summer Hangouts Series 2024
RDDSX space outside the Collaborative Classroom
Van Pelt-Dietrich Library
DDDI's 2024 Summer Hangouts program offers students the opportunity to participate in informal, hands-on tutorials led by our team of DDDI postdoctoral research fellows. These tutorials are open to students from all backgrounds and skill levels and cover various data science…
Data Science Lunch: Michael Kearns
Applications of machine learning to problems in algorithmic trading and quantitative finance
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
During the academic year, our postdoctoral fellows meet most Tuesdays from 12pm – 1:30pm for an informal lunch with a Penn faculty guest speaker.
Data Sciences Lunch: Kieran Murphy
Understanding complex systems by focusing on constituent pieces
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
During the academic year, our postdoctoral fellows meet most Tuesdays from 12pm – 1:30pm for an informal lunch with a Penn faculty guest speaker.
Cultures of Datafication Workshop
Event Organizer: Kim Fernandes; Zehra Hashmi; Sandeep Mertia; and Rahul Mukherjee (University of Pennsylvania) and Ranjit Singh (Data & Society) Date: 4/12-13/24 Location: Day 1 - Fisher Bennet Hall #401; Day 2 - CASI, 133 S 36th St, #230 This event aims to bring together…
Data Science Lunch: David Kirk
Why people commit crime and finding innovative solutions to help them stop
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
During the academic year, our postdoctoral fellows meet most Tuesdays from 12pm – 1:30pm for an informal lunch with a Penn faculty guest speaker.
Data Science Lunch: Benjamin Shestakofsky
The sociology of artificial intelligence
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
During the academic year, our postdoctoral fellows meet most Tuesdays from 12pm – 1:30pm for an informal lunch with a Penn faculty guest speaker.