FiveThirtyEight.com investigates what sets DSaPP's police early warning system apart from the rest of the predictive systems on the market. Check out the full story here.
The Charlotte Observer wrote up our work with the Charlotte-Mecklenberg Police Department. Read all about the partnership here.
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 American Statistical Association just interviewed three of our Data Science for Social Good alums. Jane Zanzig, Amy Hepner, and Roubin Gong provide their insights on the fellowship, and more broadly how they combine their backgrounds in statistics with applied data science and public policy. The interviews are available here.
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 offices in downtown Chicago have all the trappings of a fashionable web startup: brightly colored walls covered in post-it notes, bundles of cords on the floor and ceiling, a well-used ping-pong table. But a closer look at the graphs taped to the walls and the code scrolling across the monitors reveals a purpose deeper