Current Research

Exploring the contextual factors contributing to the success of data-sharing architectures

Incorporating interdisciplinary Great Lakes data to address ecosystem-level management questions is currently challenging because the data critical to characterizing the Great Lakes ecosystems are scattered and uncurated when accessible. The need for accessible data is greater than ever given the many interdisciplinary management problems that exist due to human-driven ecosystem change. We are currently in the very early stages of developing a data-sharing initiative (Project Janus) that offers an integrative approach to organize, catalog, share, and curate data to support research and management, which in turn can help the push for ecosystem-based approaches to management in the Basin. As part of the developmental stages of this initiative, we are exploring the contextual factors contributing to the success of data-sharing architectures by conducting semi-structured interviews with different individuals who were either previously or currently involved in the development, implementation, or management of a data-sharing architecture.


Characterizing and comparing wild turkey hunters with deer hunters

Recent research has indicated that hunting communities like the wild turkey hunting community may be distinct from other hunting communities like deer hunters when comparing different trends in demographics and when exploring mentorship and how the individual was introduced to that respective hunting community. To further explore this, we are distributing surveys to multiple states to compare the characteristics of wild turkey hunters with deer hunters and to compare their involvement with mentorship and how they were originally introduced to either deer hunting or turkey hunting.