RCC
Data Visualization
Laboratory

Since 2012, the RCC’s Data Visualization Laboratory has served as the hub of data analysis, visualization, and technology-enabled pedagogy at the University of Chicago. Located in the Kathleen A. Zar room of the Crerar Science Library, the lab is home to a suite of visualization resources including high-end 3D graphics processing and display hardware, virtual reality and haptic display systems, support for interactive supercomputing, and custom remote visualization tools for in-situ visualization of data stored on the RCC’s compute cluster. Access to these resources is provided to all University of Chicago faculty, researchers, and students. The lab provides introductions to and hands-on training with its tools through a set of workshops that are offered annually. In addition, the lab hosts hackathons, symposia, and other outreach events designed to support faculty research and share their findings with future students, faculty, alumni and visitors from granting agencies.

Data Analysis

Visualization

Education

Data Analysis

For over a century, the University of Chicago has produced field defining scholarship in the physical sciences, the social sciences, and the humanities. The RCC partners with scholars from across the divisions to clean, analyze, process, and model their data. Through these partnerships, the RCC helps to further the University’s legacy of innovative research.

Visualization

The RCC Visualization Lab creates compelling visual narratives out of scientific, humanistic, and social scientific data. These narratives enable insights that further scholarship, and they support research dissemination within both professional and lay audiences.

Education

Every year, educators from across campus use the Lab’s technological resources to enhance their pedagogy. The RCC provides training and support for these educators as they do so. The RCC also maintains an ongoing outreach program that trains faculty, researchers, and students in computational analysis and visualization methods.

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