Dr. Mira Mishkin

Instructor, Center for Wildlife Studies

Ph.D. Environmental Geography and CONACYT Fellow, Department of Environmental Geography, Universidad Nacional Autónoma de México.

M.S. Interdisciplinary Ecology, University of Florida, Gainesville

B.S. Plant Sciences, Department of Biology, Central Washington University

Email: miramanni@centerforwildlifestudies.org

Mira is a Geographer and Interdisciplinary Ecologist who is broadly interested in understanding how how to understand, predict, and monitor complex human-ecological systems. She focuses primarily on Bayesian modeling and decision science. She is currently active in using Bayesian Causal Networks to understand protected area management in the Monarch Butterfly Biosphere Reserve. The primary goal of her research is to refine methods to predict how particular variables interact in complex systems to provide intervention foci and efficient management monitoring over the short and long term.

Before joining CWS, Mira worked as a faculty member at Unity College and as a Postdoctoral Scholar at the University of Florida and Universidad Nacional Autónoma de México as a CONACYT fellow. She is a lecturer III at the University of Southern Maine and is a Subject Matter Expert for various universities.

    • Introduction to Bayesian Causal Networks for Resource Management

    • Batool, K., Mishkin, M., and Bridg, H. (2024). The Challenges for Women in STEM in the Gs vs GN- Chapter 11 Science in the Global South: Challenges and perspectives. Springer Nature 2024 (in revision)

    • Mishkin, M. 2024. On the same page: providing theoretical context for the critical list of variables for sustaining the commons. International Journal of the Commons (in revision)

    • Mishkin, M. And Kiker, G. 2021. Managing with logic: A Bayesian Causal Network assessment in the Monarch Reserve using the critical list of variables for sustaining the commons. Global Ecology and Conservation. Dec. 2021 https://doi.org/10.1016/j.gecco.2021.e01931

    • Mishkin M. And Navarrete-Pacheco, J.A. 2022. Rapid assessment remote sensing of forest cover change to inform forest management: case of the Monarch Reserve. Ecological Indicators. March 2022 https://doi.org/10.1016/j.ecolind.2022.108729