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Matt Franchi

@mfranchi.bsky.social
38 followers 219 following 4 posts

computer science phd candidate @ cornell tech, nyc mfranchi.net

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Reposted by Matt Franchi
Urban Data @urban-data.bsky.social · 14/11/2025
#30DayMapChallenge day 9 asked us to get off our screens. @annaloganmc.bsky.social's "analog" map is a hand-painted postcard! 📫 "I chose to paint a postcard of a map of Ann Arbor where I currently live showing the Huron River!" she says
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Reposted by Matt Franchi
Urban Data @urban-data.bsky.social · 13/11/2025
Day 7 of #30DayMapChallenge asked us to think about accessibility. @gsagostini.bsky.social considers two metrics of access simultaneously: distance to a Subway and distance to the subway.
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Reposted by Matt Franchi
Urban Data @urban-data.bsky.social · 06/11/2025
To get this feed started, our group will be participating in the #30daymapchallenge! On (most) days of November we will be posting a new map, by a new author, on a new theme. First batch of maps incoming... 🗺️ 30daymapchallenge.com#maps-stats
30daymapchallenge.com
30DayMapChallenge
Daily mapping challenge happening every November!
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Reposted by Matt Franchi
Gabriel Agostini @gsagostini.bsky.social · 28/03/2025
Migration data lets us study responses to environmental disasters, social change patterns, policy impacts, etc. But public data is too coarse, obscuring these important phenomena! We build MIGRATE: a dataset of yearly flows between 47 billion pairs of US Census Block Groups. 1/5
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Matt Franchi @mfranchi.bsky.social · 13/05/2024
We’re releasing a new research dataset of 2.4 million street-level dashcam images, spanning all five boroughs of New York City from March-November 2020. dataverse.harvard.edu/dataset.xhtml?…
dataverse.harvard.edu
Replication Data for: Detecting disparities in police deployments using dashcam data (FAccT'23)
A 10% random and anonymized sample of a dashcam image dataset spanning New York City limits during 2020.
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Matt Franchi @mfranchi.bsky.social · 12/07/2023
Big thanks to @Gothamist for covering our recent policing work! Super cool to see commentary on the project from NYC community organizers and @dhadfieldmenell. Check it out here: gothamist.com/news/nypd-does…
gothamist.com
The NYPD doesn’t report where it deploys police. So scientists used AI, dashcams to find out.
Cornell Tech researchers used nearly 25 million rideshare dashcam images to identify police cars on city streets and areas that receive more attention than others.
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Matt Franchi @mfranchi.bsky.social · 12/06/2023
Excited to share our new paper, “Detecting disparities in police deployments using dashcam data”, accepted for publication at FAccT ‘23 (along with an exciting new dataset)! Joint work with @jdzamfi, @wendyju, and @2plus2make5. #NYC #NYPD
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