Press Release

For decades, fierce debates have raged over the benefits of different programming languages over others: Java vs. C++; Python vs. Ruby; Flask vs. Django. While often waged with religious fervor by computer scientists and programmers, these debates tend to rely on anecdotal evidence, with very little rigorous comparison of programming approaches or the larger question of how software may augment human thinking.

Press Release

For the future of the planet, there are few research subjects more important than the global supplies of food, water, and energy. To comprehensively study, understand, and inform policy around these complex systems, the next generation of researchers in the physical, social, and biological sciences will need fluency with data analysis methods that traverse traditional academic boundaries.

In The News
WIRED

As social networks, apps, and other websites become more adept at turning user data into personalized experiences, more frequent stories appear that highlight the exciting -- and sometimes disturbing -- implications of that technology for health.

Event
Brendan Nyhan, Dartmouth College
June 09, 2017
Harris School Rm. 142

Brendan Nyhan (Dartmouth College) will give a talk for the Computational Social Science and Public Policy Colloquium.

Event
Susan Murphy, University of Michigan
May 05, 2017
Searle 240, 5735 S. Ellis Ave.

Abstract: A critical question in the development of mobile health interventions is, when and in which contexts, is it most useful to deliver treatments to the user.  This question

In The News
Politico

Politico Magazine features the Data Science for Social Good project with the City of Syracuse using data to predict water main breaks  so that the city can make proactive repairs rather than responding to catastrophe.

Event
January 12, 2017
Searle 240, 5735 S. Ellis Ave.

The Center for Data Science and Public Policy has started a Data Science Happy Hour to get people across campus together who’re working in different areas us

In The News
Chicago Tribune

For the last two summers, fellows at Data Science for Social Good and researchers at the Center for Data Science and Public Policy (DSaPP) have worked with police departments around the country on developing a data-driven model for predicting police officer behavior.

Event
May 12, 2016
Searle 240, 5735 S. Ellis Ave.
Press Release

In recent years, city and local governments have increasingly used data to discover innovative new ways to improve their operations and serve their citizens. But the spread of these solutions between and within cities has been limited by obstacles including lack of replicability, resources, and technical expertise.