Cyberspace, like any neighborhood, has its share of disreputable regions. According to University of Chicago graduate student and Knowledge Lab researcher Cody Braun, though, once you get into the “bad internet,” it’s hard to get out.


An article from Benjamin Recchie of the University of Chicago Research Computing Center looks at how CI Senior Fellow John Goldsmith and graduate student Jackson Lee use high-performance computing to better understand how computers -- and by extension, humans -- learn the rules of language.


Since its announcement last summer, the Array of Things (AoT) urban sensing project has been gradually refining its technology and strategy for its expected pilot launch this spring.


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 Eric & Wendy Schmidt Data Science for Social Good fellowship is a University of Chicago summer program for aspiring data scientists to work on data mining, machine learning, big data, and data science projects with social impact. Working closely with governments and nonprofits, fellows take on real-world problems in education, health, energy, transportation, and more. For three months in Chicago they apply their coding and analytics skills, collaborate in a fast-paced atmosphere, and learn from mentors coming from industry, academia, and the Obama campaign.

Researcher Spotlight