CSC Workshop: Inferring Fine-Grained Migration Flows across the United States

​Migration shapes economic, environmental, and health outcomes, but most relevant datasets are either too coarse or demographically biased for robust analyses of migration patterns. This workshop will introduce attendees to advanced statistical techniques like iterative proportional fitting, which can help reconcile coarse census data with higher-resolution (but biased) proprietary data. 

The workshop explores migration flows using these different datasets, in particular focusing on migration patterns for areas impacted by wildfires. Participants will learn more about statistical analysis and geospatial data visualization. No experience with Python or geospatial data analysis is necessary — all majors and experience levels are welcome!

This workshop is taught by Gabriel Agostini (PhD student in Information Science at Cornell Tech).

This workshop is planned to take place in-person only (Milstein 516).

​​​​​​We look forward to seeing you there!

​​​​​​For more information about the Barnard CSC, go to https://www.csc.barnard.edu or follow us on Instagram and X (@barnard_csc).