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  • UW Tech Exploration Lab banner

UW Tech Exploration Lab Student Projects Highlight Innovation, Emerging Technologies

At a recent open house for the University of Wisconsin–Madison’s Tech Exploration Lab at the Wisconsin Institute for Discovery (WID) a partnership between the Wisconsin School of Business  bold ideas and community impact come to life through the Tech Exploration Lab. Kevin Ponto and Jon Eckhardt, brought deep expertise in design thinking and entrepreneurship to support students in turning innovative ideas into real-world solutions.

  • Kevin Ponto

UW Researchers Developing App to Easily Assess Home for Accessibility Improvements

Wisconsin Institute for Discovery researcher Kevin Ponto was featured on Channel3000 to discuss the development of an app designed to easily assess homes for accessibility improvements. Along with Professor Jung-Hye Shin, chair of UW’s Design Studies Department, they developed the Augmented Reality Home Assessment Tool, or ARHAT. The app aims to make it easier to identify accessibility enhancements using mobile devices.

  • PhD student Lee holds up a device with the ARHART app to measure living spaces.

App under development at UW could make it easier, more affordable to ‘age in place’

Researchers are using augmented reality to help make homes safer for older adults through a tool called ARHAT—the Augmented Reality Home Assessment Tool. ARHAT guides users through a process to measure key features of a living space and suggests accessibility improvements. By streamlining what can be a clunky and expensive process, the tool supports a more affordable, community-based approach to home safety. The project is led by Jung-hye Shin and Kevin Ponto from the Department of Design Studies and the Wisconsin Institute for Discovery, alongside occupational therapist and kinesiology professor Beth Fields.

  • Discovery Fellow Jim Luedtke works with a student

New advanced optimization course provides industry preparation

WID Discovery Fellow, Jim Luedtke created a course to build on students’ basic knowledge of optimization, teach them to apply more advanced modeling techniques and introduce them to real-world considerations like prioritizing computational efficiency. This course bridges the gap between introductory topics and real world applications.

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