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.


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.


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.


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 joint initiative of the Division of Social Sciences and the Computation Institute, the Center for Spatial Data Science (CSDS) develops state-of-the-art methods for geospatial analysis, spatial econometrics, and geo-visualization; implements them through open source software tools; applies them to policy-relevant research in the social sciences; and disseminates them through training and support to a growing worldwide community of over 200,000 spatial analysts. The CSDS succeeds the GeoDa Center for Geospatial Analysis and Computation at Arizona State University. 

Researcher Spotlight