The Sensors in a Shoebox project focuses on empowering Detroit youth as agents of change for their city.

The goal of this project is to explore seamless and independent mobility for people with physical disabilities.

The Urban Collaboratory is working with the USEPA and the Great Lakes Water Authority to remediate and restore the Rouge River.

Recommendations were developed to promote regional planning to ensure infrastructure investments are equitable and result in high-quality drinking water.

The MCFI will leverage research in water technology and work with stakeholders to translate research into practice, stimulate business growth and job creation.

Robots are anticipated to make the global construction industry safer and more attractive to workers, easing a worker shortage in the United States.

While parks are designed and managed to generate community benefits, there remains a need for tools that can more rigorously measure how communities use parks.

The city of Benton Harbor wishes to transform Ox Creek into a residential, recreational and commercial centerpiece linking important segments of the community.

The goal of this project is to develop a data-driven asset management framework that quantifies risk in the water distribution network for southeast Michigan.

The University of Michigan is developing a structural reliability framework to quantify the probability of failure of pipe segments throughout the GLWA system.

A PFAS treatment approach for groundwater using low-temperature plasma with a concentration phase

Mapping detailed geographies of digital access and exclusion across Detroit’s neighborhoods.

A major source of bridge deterioration requiring constant maintenance is mechanical expansion joints installed between adjacent simple span bridge decks.

Using wireless sensors to monitor water quality and flow conditions and to control drains to Ox Creek in Benton Harbor.

A grassroots train-the-trainer program on how to install, operate and maintain faucet-mounted point-of-use filters to protect for lead in drinking water.

Application of real-time sensing and dynamic control on existing wastewater infrastructure to reduce the frequency and volume of Combined Sewer Overflows.

Structural monitoring of highway retaining walls using remote sensing techniques to assess performance and prioritize infrastructure investments.

Using remote sensing and security camera data to better understand how people are using the Detroit RiverFront Conservancy public spaces.

Using big data, data mining, and artificial intelligence to improve performance of the highly advanced Grand Rapids Water Resource Recovery Facilities.

Limiting the volume of stormwater in the Detroit system to prevent untreated sewage from being released into the Detroit and Rouge Rivers.

The first in a series of health clinic prototypes that bring technology-enabled chronic health care monitoring to remote, underserved global populations.

Improving Benton Harbor’s aging water system using risk assessment and risk analysis techniques, as well as mobile sensors.

Investigating the use of cutting-edge molecular tools that characterize and optimize water quality process performance.

Using wearable-based technology to help seniors stay mobile and age in place, while avoiding exposure to falls and environmental risks or hazards.

Optimizing phosphorus removal at Detroit’s water treatment facility, to keep it out of lakes and rivers.

Using autonomous sensors and valves to create “smart” stormwater systems to reduce flooding forecasting, and improve water quality.