20
Oct
2017

As part of the Exascale Computing Project, CI Senior Fellow Charlie Catlett and the Multiscale Couple Urban Systems team will create a computational framework for integrating models of city systems and processes, from building energy use to environmental airflow.

25
Aug
2017

A new Innovation Generation grant from the Motorola Solutions Foundation will help Array of Things expand its educational curriculum to additional Chicago Public Schools classrooms in 2018. Building upon two successful years of workshops with over 300 students at Lane Tech High School, the program will train teachers and package materials for a hands-on experience with the Internet of Things, coding, data science, and other key computer science and technology concepts.

05
Jul
2017

Using lists of names collected from publicly available websites, two University of Chicago researchers have revealed distinctive patterns in higher education systems, ranging from ethnic representation and gender imbalance in the sciences, to the presence of academic couples, and even the illegal hiring of relatives in Italian universities.

03
May
2017

The modern “shop class” is no longer the bandsaws and sandpaper of the old days. High school students today learn how to use high-tech instruments such as 3D printers and laser cutters, how to solder computer boards with sensors, lights, and processors, and how to write the code that makes these creations work. The best projects give students a chance to apply all these skills to a device of their own invention, giving them valuable experience in digital design and manufacturing.

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.

Chicago Magazine
01
Mar
2017

Most people don't want to imagine an earthquake or deadly disease outbreak hitting their city, but for a team at Argonne National Laboratory, envisioning the worst is their job. Chicago Magazine recently profiled Argonne's Global Security Sciences division, including the Social and Behavioral Systems group led by CI Senior Fellow Chick Macal, which uses agent-based modeling techniques to simulate various types of disaster scenarios.

13
Feb
2017

What does the field of science look like? Is there a metaphor that can accurately describe millions of scientists in hundreds of countries, simultaneously collaborating, competing, and crawling towards new discoveries? In his talk at the Computation Institute on February 3rd, UCLA’s Jacob Foster proposed one humble comparison -- the complex communities of ants.

30
Jan
2017

Around the world, cities are showing signs of old age. For urban areas, one of the first signs of advancing years comes in its circulatory system — the water infrastructure — as pipes laid underground over a century ago start to break down. Beyond the direct cost of repairing water main breaks and replacing the broken components, these incidents cause major headaches for nearby residences, businesses, and traffic. Last summer, Data Science for Social Good partnered with the City of Syracuse to help address this problem proactively by predicting where future water main breaks would occur.