News

05
Mar
2018

The application of scientific techniques to the process of science itself -- a field known as the “science of science” or SciSci -- reveals patterns that can be used to fuel more efficient and faster discoveries. In a new paper for Science, a team of authors including Knowledge Lab director and CI Senior Fellow James Evans reviews recent SciSci achievements and discusses how researchers, funding agencies, universities, and other entities can apply the findings to drive innovation and progress.

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.

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.

The National Center for Opportunity Engineering & Analysis, NCEOA, will create a new field of applied data engineering and analysis with the goal of providing new tools, open services and a research platform. These efforts will increase access to opportunities for all Americans in the job markets, education attainment, career training, and the utilization of support services.  

Researcher Spotlight