Keynote
summary
Data journalism that matters shows the claim, the code and the count: a Django admin that automates Slack and Twitter for a collaborative execution tracker that runs and is later frozen, a Camelot + Jupyter pipeline that turns hundreds of redacted PDFs into tables, scripts and tests that produce JSON to S3 for a D3/WebGL front end, and analyses of 5,600 misconduct records narrowed to 290 abuse cases revealing one in ten cases results in firing.
AI-written summary · about
chapters (13)
- 0:00Introduction
- 8:27What is The Marshall Project
- 10:45Death Row Tracker
- 13:30Prison Misconduct
- 16:35News Apps
- 18:05How does a story begin
- 24:55Datadriven investigations
- 27:10The Next to Die
- 29:15Return to Data
- 31:00US Criminal Justice System
- 35:05Coming Soon
- 36:25Funding Cuts
- 40:50Getting into Journalism
