News

21
Apr
2017

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.

03
Apr
2017

Reader preferences for liberal or conservative political books also attract them to different types of science books, according to a new study from researchers at the University of Chicago, Yale, and Cornell. The result supports observations that the divisiveness of politics in the United States has spread to scientific communication as well, endangering the role of science as politically neutral ground.

15
Mar
2017

The most vulnerable individuals in society often struggle with long-lasting, multi-faceted challenges such as mental illness, substance abuse, chronic health conditions, and homelessness. Individuals experiencing these difficulties tend to interact with public services and departments frequently, yet many communities struggle to identify them and meet their needs in meaningful and cost-effective ways. Read how Data Science for Social Good and the Center for Data Science and Public Policy are working with a Kansas county on data-driven strategies to intervene earlier with those in need of comprehensive assistance.

Research

Urban Center for Computation and Data

The Urban Center for Computation and Data unites scientists from the University of Chicago and Argonne National Laboratory with educators, architects and government officials to capitalize upon the growing availability of city datasets and the emergence of urban sensor networks. The interdisciplinary collaboration will analyze and integrate those data sources and build complex computer models that can anticipate the impact of policy decisions, investments, urban development or other interventions on a city and its residents.

Knowledge Lab logo

Knowledge does not arise from the simple accumulation of facts. Rather, it is a complex, dynamic system, and its emergent outcomes - including scientific consensus - are unpredictable. The complexity of knowledge creation has exploded with the growing number of participating scientists and citizens. If human knowledge is to grow efficiently, we need a deeper understanding of the processes by which knowledge is conceived, validated, shared and reinforced. We need to understand the limits of knowledge in relation to these processes. In short, we need knowledge about knowledge.

A collaboration between the Harris School of Public Policy and the Computation Institute, the Center for Data Science and Public Policy brings together data science and public policy experts. Its mission is to conduct research and create computational and data-driven solutions to large-scale social problems in areas such as healthcare, education, sustainability, and community development.

The Center's goals include:

Researcher Spotlight