People

Dr. Antonia Sohns, Postdoctoral Researcher

PhD in Geography, McGill University (2020); MSc in Water Science, Policy and Management, University of Oxford (2011); BSc in Earth Systems (Oceans Track), Stanford University (2010).

Interests: natural resource management, freshwater policy, political ecology, science communication

Antonia’s doctoral work evaluated factors that influence household access to drinking water in the Arctic. She has worked on environmental policy in the U.S., and as a consultant for the World Bank’s Thirsty Energy initiative. She is particularly interested in the social processes that affect trust, control, and risk in governance networks, especially in the context of conservation and natural resource management.

 

 


Project Summary:

This research is part of a five-year research project that aims to enhance the capacity of civil servants, Indigenous and non-Indigenous community leaders, and economic stakeholders participating in transboundary fishery governance networks operating in Canada and the U.S. to coordinate their activities and collaborate across organizational boundaries. The project brings together a community of scholars from the U.S., Canada, and the Netherlands. The project team will employ a mixed-methods approach to examine different alliance networks underpinning transboundary fisheries governance in the Salish Sea and Gulf of Maine marine regions shared by Canada and the U.S.

Dr. Sohns is leading research on the factors affecting inter-organizational collaboration among partners who play a role in protecting (directly or indirectly) the North Atlantic Right Whale in the Gulf of Maine.


Project Publications:

Sohns, A., Hickey, G. M. and Temby, O. (2022). Exploring the potential impacts of machine learning on trust in fishery management. Fish and Fisheries: Accepted.

Sohns, A., Hickey, G. M., de Vries, J. R., and Temby, O. (2021). Methodological challenges in studying trust in natural resources management. Land 10(12): 1303.

My full list of research publications prior to joining the lab can be found on Google Scholar.

 


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