The future of research is interdisciplinary. To address the biggest problems facing the world, researchers need to build connections across disciplines, cultivate skills that enable collaboration, and look to unconventional partnerships for new ideas. By convening experts at the intersections of disciplines, the Wisconsin Institute for Discovery creates an environment ripe for interdisciplinary experimentation.
WID’s research is focused in four areas that need interdisciplinary approaches to solve big problems. Explore WID’s expertise:
WID’s research strength is in its innovative collaborative environment, but each WID faculty member maintains a robust research program. Explore individual labs at WID:
Virtual Environments Group
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Karen Schloss (PI), Kevin Ponto (PI)
The Virtual Environments Group is a space and a place where scholars explore the connections among environment, technology, human action, experience, and visualization, with expertise in virtual and augmented reality.
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Wisconsin Institute for Discovery
Schloss Visual Reasoning Lab
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Karen Schloss (PI)
Investigating how observers make predictions about objects and entities based on their cognitive and emotional responses to perceptual information; focusing on how people’s associations with colors influence cognitive processing in aesthetic response, judgment and decision making, and interpretation of information visualizations.
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Wisconsin Institute for Discovery
Ponto Lab
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Kevin Ponto (PI)
Develop techniques to better the experience of virtual reality through new devices, interfaces, and techniques.
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Wisconsin Institute for Discovery
Wright Research Group
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Stephen Wright (PI)
Numerical optimization, especially problems involving real (as opposed to integer or discrete) variables. Includes theory, algorithms, implementation and application.
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Wisconsin Institute for Discovery
Nowak Research Group
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Robert Nowak (PI)
The NRG focuses on signal processing, machine learning, optimization, and statistics. Areas of focus include sparsity and active learning, learning graphs and networks, and interactive machine learning with humans.
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Rutherford Research Group
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Thomas Rutherford (PI)
Interests include energy markets, Climate Policy, international trade, technical change and computational economics.
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Wisconsin Institute for Discovery
Del Pia Research Group
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Alberto Del Pia (PI)
Theoretical and algorithmic aspects of mixed-integer optimization, with a special emphasis in linear and polynomial functions. Other interests include polyhedral combinatorics and combinatorial optimization.
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Wisconsin Institute for Discovery