19
Jan
2017

Some of the most important crops risk substantial damage from rising temperatures. To better assess how climate change caused by human greenhouse gas emissions will likely impact wheat, maize and soybean, an international team of scientists has run an unprecedentedly comprehensive set of computer simulations of US crop yields.

18
Jan
2017

For the past four years, the Data Science for Social Good summer fellowship has brought over 160 fellows from around the world to Chicago to work on data-driven projects with real world significance. They've used machine learning and predictive analytics to improve graduation rates, anticipate urban blight and water infrastructure issues, direct hazardous waste inspections, deliver targeted social services, and much more. Now, the program, run by the CI's Center for Data Science and Public Policy, is looking for fellows, mentors, project managers, partners, and funders for 2017, with applications due at the end of January.

10
Jan
2017

Social science and public policy have always been connected, to varying degrees of success. In an ideal world, understanding the mechanisms behind social processes -- both good and bad -- would directly inform the creation of policies that promote social benefits and reduce consequences. But language, whether academic or political, often separates the two disciplines.

03
Jan
2017

Using the University of Chicago Medicine data warehouse, a team led by CI faculty and fellow Samuel Volchenboum detected a dangerous ripple effect in hospitals: when one patient becomes critically ill, chances of a similar setback increase for others in the same unit.

22
Dec
2016

As the year comes to a close, it's time to look back at an exciting 2016 of discoveries, events, announcements, and exploration at the Computation Institute. Enjoy this recap of our work in climate change, particle physics, education, cyberinfrastructure, genomics, spatial analytics, and much, much more.

12
Dec
2016

A drought on the scale of the legendary Dust Bowl crisis of the 1930’s would have similarly destructive effects on U.S. agriculture today despite technological and agricultural advances, a new study in Nature Plants reports. Additionally, warming temperatures in the future could lead to crop losses at the scale of the Dust Bowl in even normal precipitation years by the middle of the 21st Century, CI/RDCEP scientists conclude.

07
Dec
2016

The newly launched National Center for Opportunity Engineering & Analysis (NCOEA) at the Computation Institute will use the latest computation and data science tools to help close the skills gap, reduce economic inequality, and provide new ways to search for training connected to employment and career opportunities.

01
Dec
2016

A new modeling approach developed at the University of Chicago and Argonne National Laboratory more accurately describes storm behavior, forecasting future rainstorm features that will help clarify flood risk and other climate impacts.

30
Nov
2016

On November 17th, the second Campus as a Lab hackathon brought together 50 people for a night of education, exploration, and collaboration at Saieh Hall. Working with real, building-level data on UChicago campus energy usage, participants conducted preliminary analyses meant to better understand and eventually improve sustainability at the university. Workshops led by representatives from EPIC, the Computation Institute, and UChicago Facilities Services provided information on building automation, energy prices, industry analytics, and technical tools such as visualization, databases, and project scoping.

15
Nov
2016

As the U.S. Department of Energy’s (DOE's) Exascale Computing Project (ECP) works towards its goal of creating computing systems at least 50 times faster than the nation’s most powerful supercomputers in use today, it needs research on how hardware and software will work together at these unprecedented speeds. As part of a 4-year $48 million funding award to tackle this challenge, the ECP recently selected four "co-design" centers, including one led at Argonne National Laboratory by CI Director Ian Foster.