Judges

We are excited to announce our judges for the first annual Data Visualization Challenge! The judges come from very different areas but each utilize data and computation to produce excellent work in their fields. We know that their expertise in areas from social impact to visual aesthetics will provide effective insight in the judging process, and we hope you will join us in welcoming them.

Rayid Ghani

Rayid Ghani

Rayid Ghani, Research Director at the Computation Institute and a Senior Fellow at the Harris School of Public Policy at the University of Chicago, uses data and analytics for high impact social good problems in education, healthcare, energy, transportation, and public safety. He is also the co-founder of Edgeflip, an analytics startup helping non-profits and social good organizations turn their supporters into influencers to raise money, recruit, engage, and mobilize volunteers, and do targeted outreach and advocacy. Visit his website »

Jason Salavon

Jason Salavon

With a background in computer programming and software design, Professor Jason Salavon in the UChicago Department of Visual Arts employs the language of digital prints, video, painting, and sculpture to explore the intersections between scientific systems, technology, visual aesthetics, and art history. He uses software of his own design as an image-generating tool, and with it, explores the underlying biological and societal systems that inform our identities and unite us. Visit his website »

Geoff Goldberg

Geoff Goldberg

Geoff Goldberg has practiced architecture and urban and design in Chicago for the past 25 years. His research and practice operate in a particular way, with the advantage of long and in-depth exposure to a broad range of architectural issues. At the large scale, he is interested in integration across disciplines in the design of complex infrastructures, finding in the overlays opportunities otherwise overlooked. With an enduring interest in synthesizing both theory and execution, projects undertaken are notable for the establishment of analytic rigor with speculative explorations.