Centers

The Department of Fisheries and Wildlife is home to several world-class research centers. We view our disciplinary diversity as our strength, providing exciting opportunities for collaboration, and creating the capacity to respond with academic vigor to new challenges.

  • Boone and Crockett Quantitative Wildlife Center
    The Boone and Crockett Quantitative Wildlife Center (QWC) is recognized as a center of excellence and serves as a catalyst for advancing the power of quantitative methods for informing decisions in wildlife conservation. The Center is pioneering innovative tools and new solutions for some of the most complex issues of today: land-use change, climate change, wildlife disease and wildlife stewardship.
  • Center for Water Sciences
    The mission of The Center for Water Sciences (CWS) is to advance scientific research and knowledge for understanding, protecting, and restoring water resources and their sustainable use by humans and ecosystems around the Great Lakes and the world.
  • Center for Advancing Microbial Risk Assessment
    The Center for Advancing Microbial Risk Assessment (CAMRA) is an interdisciplinary research center established to develop scientific knowledge on the fate and risk of bioterrorist and other high priority infectious agents.

  • Center for Systems Integration and Sustainability
    The mission of the Center for Systems Integration and Sustainability (CSIS) is to develop and maintain a center of excellence that integrates ecology with socioeconomics, demography, and other disciplines for ecological sustainability from local, national, to global scales.

  • Quantitative Fisheries Center
    The Quantitative Fisheries Center (QFC) seeks to provide a research, outreach/service and teaching program to (1) build greater capacity within fishery management agencies in quantitative methods; (2) improve quantitative methods for assessing fish stocks; (3) assist agencies to use model-based approaches in decision making; (4) develop a better understanding of fish community and population dynamics.

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