The Charlotte Observer wrote up our work with the Charlotte-Mecklenberg Police Department. Read all about the partnership here.
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.
Joe Walsh, DSaPP Senior Researcher, along with Eugenia Giraudy and Matthew Burgess, DSSG 2015 Fellows, will present their work on the Legislative Influence Detector (LID) at SXSW this March. The panel, “Using Data Science to Catch Legislators in the Act,” will be on March 12th. Additional information is available here.
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 […]
Our work with the City of Cincinnati on targeting and preventing the spread of urban blight was recently featured in Backchannel. Check out the article and read all about our “astrophysics Ph.D. turned warrior against urban blight,” Jen Helsby: Bluegrass, Blight, and the Future of Cities: How a Fiddler and an Astrophysicist Introduced Predictive Analytics […]
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 […]
The DSaPP team presented Our Legislative Influence Detector (LID) at the Bloomberg Data For Good Exchange in New York at the beginning of October. Fast Company wrote up explanation of this project and the policy implications of the prototyping tool. Check out the article here.
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 […]
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 […]
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 […]