The Connecticut Mirror and TrendCT are hosting an October hackathon on disparate treatment by race.
We will focus specifically on Connecticut’s racial profiling data, which records every traffic stop in the state. It is a comprehensive database that aims to diagnose where racial profiling may be happening. While the dataset has been used for a very particular purpose thus far, we believe it can be used to create useful tools or extract unexpected stories.
The hackathon is part of the Mirror’s “Small State, Big Debate” event, which will be a discussion on race in Connecticut.
9 a.m. on October 6, 2015.
Buy them here for access to all sessions, but programmers can attend the hackathon for free.
How it works
Your team will have eight hours to problem solve, create, gather data, and discuss ideas with other event participants. The clock starts at 9 a.m., and at 5 p.m. you will present your idea to a panel of judges and audience members, who will then vote for the most innovative and practical solution.
One group will be selected to receive a $1,000 prize to help advance the proposed solution.
What we’ve done
Here at TrendCT, we’ve generated several stories using this dataset, but there’s room for much more analysis and creativity:
- When do police most often ticket drivers? And for what?
- Police departments that stopped the most drivers in Connecticut
- What time of day drivers get ticketed most in Connecticut
- Traffic stops, by race
- Who gets off with a warning after a traffic stop in Connecticut?
Questions? E-mail firstname.lastname@example.org or ask in the comment section.