The Citizens Police Data Project (CPDP.co) is a tool for holding police accountable to the public they serve.

CPDP takes records of police interactions with the public – records that would otherwise be buried in internal databases – and opens them up to make the data useful to the public, creating a permanent record for every CPD police officer.

We’ve built CPDP with a focus on making data both accessible and useful by collaborating closely with the people who can best make use of it. If you’ve used CPDP and you’re open to talking with us about your experience, please join our feedback community or click on the live chat bubble in the bottom-right corner to reach out at any time.

The codebase and the growing collection of underlying datasets plus data processing scripts and the original FOIA responses are available publicly here:


Originally intended to serve as a national model for transparency, the Citizens Police Data Project emerged from a decade-long collaboration with the University of Chicago Law School’s Mandel Legal Aid Clinic. CPDP is now the hub of several inter-woven projects and partnerships that share the common goal of making police data more useful to the public through transparency, investigation, and accountability.

What’s next?

Our work on CPDP today can be organized into three key areas.

Strengthening the core frameworks by building out a modular open-source infrastructure for complaint data management, investigative data tools, and data processing pipelines. Apart from becoming more efficient at keeping the information on CPDP up-to-date for the thousands of investigative journalists, community organizers, and civil rights attorneys who rely on it every day, we are also working together with partners who are upstream and downstream in the life cycle of our data. This means helping officials in civilian oversight to improve data quality at the point of initial intake (upstream), and delivering critically useful information about police officers directly into the workflows of public defenders by integrating with their existing work tools (downstream).

Deepening the investigation by enabling theme-based NLP text analysis capabilities for a growing library of 230,000+ pages of complaint documents now being released through the Green v. Chicago lawsuit, creating tools to explore the networks dimension of misconduct data through our research partnership with the N3 Initiative at Northwestern University, and introducing a new dataset of police misconduct lawsuits (and settlements) through our partnership with The Chicago Reporter.

Expanding the impact by cultivating our network of partners/allies in other cities (New Orleans, Dallas, New York City, Oakland, San Francisco, Washington, DC), working together with community leaders and stakeholders to develop strategies for deploying these public tools and implementing best practices in open data stewardship.


Further reading