DSaPP’s Lead Poisoning Prevention and Early Intervention for Police Projects Featured in GovTech Magazine

DSaPP Director Rayid Ghani talks about our work with predictive analytics and city agencies. Our projects on preventing lead poisoning and predicting adverse police/public interactions are both featured. Check out the full article, “Grounding AI: Artificial Intelligence is Closer — and Less Awesome — than Most Realize,” in Government Technology.

In light of recent police misconduct, The Chicago Reporter highlights DSaPP’s Early Indicator System

The Chicago Reporter highlighted our work with the Charlotte-Mecklenburg Police Department in developing a more accurate, predictive policing system. The article highlights that part of the solution to recent policing oversight woes might “be right in CPD’s backyard.” “If they came to us,” Ghani said, “we’d definitely be interested in working with them.” Check out […]

DSaPP featured in the White House’s Police Data Initiative

On October 27th, President Obama spoke to the 122nd annual conference of the Internal Association of Chiefs of Police (IACP). In his speech he drew attention to Early Intervention System (EIS) developed by DSaPP and the Charlotte-Mecklenburg Police Department, as part of the White House Police Data Initiative. Read more about this project at the […]

Applying Data Science! A Monthly Discussion Series

Applying Data Science! Join us for a monthly discussion series organized by The Center for Data Science & Public Policy, bringing together faculty, researchers, and students from across the university interested in applying new and emerging data science methods and tools to problems they’re tackling. The goal is to start discussions around applied data science […]

Welcoming the second class of Computational Analysis & Public Policy students

The Harris School of Public Policy and the Computer Science Department will welcome their second class for the Master’s degree program in Computational Analysis & Public Policy (CAPP) in September 2015.   We’re excited to continue along this path of training the next generation of policy-makers with new and emerging computational and data science skills. Visit the […]

Data Science for Social Good Summer 2015 Fellowship Begins!

Reducing infant mortality, improving graduation rates for high school and first-generation college students, preventing home abandonment, and identifying legislative plagiarism are just some of the project goals for the 2015 Eric & Wendy Schmidt Data Science for Social Good Summer Fellowship. For fourteen weeks, 42 fellows in Chicago will work with nonprofit and government partners […]