Data Science Lunches
During the academic year, our postdoctoral fellows meet most Tuesdays from 12pm – 1:30pm in the PSC 5th Floor Collaboration Space for an informal lunch with a Penn faculty guest speaker. Each speaker then leads the group in a casual discussion regarding the use of data science in their research. Discussions vary in content, but tend to focus on the applications of machine learning and artificial intelligence in various academic disciplines.
We encourage open conversation and the exchange of ideas at each lunch, thus fostering a collaborative environment among fellows and faculty alike. As such, these lunches provide an excellent opportunity for our fellows to make interdisciplinary connections and discover new ways to utilize data science in their own research.
Upcoming Data Science Lunches
Past Data Science Lunches
Data Science Lunch: Sarah Lee
Events and objects in space and time, in the mind, and in language
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
Data Science Lunch: Michael Weisberg
Tackling complexities and knowledge gaps in climate change negotiations and how data visualizations can help
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
Data Science Lunch: Hanming Fang
Trends in data science and predictive economics
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
Data Science Lunch: Dan Hopkins
Nationalization of voters and utilization of data science methods in political science
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
Data Science Lunch: Eduardo Mercado
Identifying and classifying acoustical markers of whale songs using Google and NOAA’s Pattern Radio
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
Data Sciences Lunch: Greg Ridgeway
Using benchmarking to examine race disparities in NY state sentencing, Danish heathcare, and police satisfaction
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
Data Science Lunch: Chang-Yu Chang
Species coexistence and how we can use simple microbiology experiments and image object features to detect it
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
Data Science Lunch: Xi Song
Computational approaches to understanding inter- and intra-generational changes in career mobility
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
Data Science Lunch: Josh Plotkin; Colin Twomey
Evolution of baby names and popularity of dog breeds; Computational principles and communicative needs that shape color naming systems in natural language
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104
Data Science Lunch: Mark Whiting; Ivan Simpson-Kent; Andrew Connolly
Understanding the replication crisis in research, evaluating common sense; Multi-layer network analysis in relating brain structure to exposome in children
Amy Gutmann Hall, Room 615
3333 Chestnut Street, Philadelphia, PA 19104