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.


To encourage building owners to assess and reduce their energy usage, the City of Chicago passed the Building Energy Use Benchmarking Ordinance in 2013, requiring certain properties to report energy data. Late last year, that mandate produced the first Building Energy Benchmarking Report, containing insight and visualizations produced in part with the CI’s Urban Center for Computation and Data (UrbanCCD).


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 Hack Arts Lab (HAL) provides an open-access laboratory for creative digital fabrication and visualization.  Thismakerspace-styled workshop is designed to support a breadth of activity ranging from undergraduate projects to faculty-led exploration.  

HAL resources include 3D printers, laser cutter, advanced graphics, and microcontroller workbenches, all offered at minimal cost.

Researcher Spotlight