Datathon4Justice

  1. Register for the Datathon4Justice, 2022!
  2. Sign up for a lab meeting to continue work on the JUSTFAIR and Police Accountability Toolkit research projects.
6:00 pm, Friday, November 4 – 5:00 pm, Sunday, November 6, 2022 (VIRTUAL EVENT)

QSIDE is thrilled to announce the 2022 Datathon4Justice! Registration is now open. Details are below.

Working hours for Datathon4Justice (all times are ET US):

Datasets

Friday, November 4

  • 6:00 p.m. – 6:30 p.m.: Welcome, introductions, and opening plenary
    • Opening plenary, TBD
  • 6:30 p.m. – 9:00 p.m.: Initial team meetings, defining research questions, explaining work processes, and creating/forming working teams
  • Outputs: Please post your research question(s) in the Slack channel

Saturday, November 5

  • 10:00 a.m. – 10:30 a.m.: Plenary talk, TBD
  • 10:30 a.m. – 1:30 p.m.: Research team work
  • 1:30 p.m. – 2:30 p.m.: Break, optional lunch meeting to confer with members of other teams.
  • 2:30 p.m. – 5:00 p.m.: Research team work
  • 5:00 p.m. – 6:00 p.m.: Report out from each team on their progress, approximately 10 minutes each.
  • Outputs: Please update the Slack channel with major outputs from your day.

Sunday, November 6

  • 10:00 a.m. – 10:30 a.m.: Welcome, final plenary
    • Opening plenary, TBD
  • 10:30 a.m. – 1:30 p.m: Research team work
  • 1:30 p.m. – 2:00 p.m.: Break, optional lunch meeting to confer with members of other teams.
  • 2:00 p.m. – 3:30 p.m.: Research team work, prepare for final report out.
  • 3:30 p.m. – 5:00 p.m: Final report out and closing remarks.

Goals of the Datathon4Justice

The Datathon4Justice is a weekend-long commitment where students, professional researchers, and activists will come together in small teams to collaboratively examine a dataset. The goals are to share expertise, learn from one another, apply collective knowledge and analysis to a real-world criminal justice dataset, and leave with both new data science social justice skills and an enhanced understanding of how to work in interdisciplinary teams on real-world social justice problems.

Team Composition

Individuals of a broad range of skill levels and disciplinary interests are encouraged to participate. Teams will be mixed, to the greatest degree possible, of data scientists/statisticians/mathematicians, social scientists, humanists, and activists who are at varying levels of their research journeys.

Datasets

The theme for the 2022 Datathon4Justice is criminal justice. We have identified two datasets for the Datathon4Justice, which we’ll describe below.

Small Town Police Accountability

Teams will be able to work on previously collected and cleaned data from either Williamstown, MA, or Durham, NC, or to work on procuring and cleaning data from Kenosha, WI, Troy, NY, and/or Rockford, IL or Joliet, IL.

JUSTFAIR: A 50-state strategy

The JUdicial System Transparency for Fairness through Archived/Inferred Records (JUSTFAIR) project initially brought together all records for federal courts to identify which judges were sentencing in the most biased ways based on race/ethnicity on the federal bench. Data have been, or are being collected through the research lab in nine states: Montana, Illinois, Minnesota, Michigan, North Carolina, Virginia, New York, Pennsylvania, and Wisconsin. Teams can choose to continue collecting these data, or can use data that is previously collected to analyze.

Register now!

Speaker Bios