Presentation Summary

In this Wildlife Wednesday presentation, Dr. Mira Mishkin will explore the power of Bayesian Networks in understanding complex systems. Discover how these cutting-edge tools help uncover hidden connections between variables, predict outcomes, and guide informed decision-making—essential for managing wildlife and environmental data.

Learn how Bayesian Causal Networks (BCNs) integrate both qualitative and quantitative data to offer a dynamic, adaptable approach for monitoring and intervening in complex ecosystems. Whether you're working on wildlife conservation or environmental management, BCNs provide valuable insights that can transform the way we understand and manage natural systems. We will touch on a powerful case study using BCNs in the Monarch Butterfly Biosphere Reserve.

Don't miss this opportunity to see how Bayesian Networks are shaping the future of research and management!

Looking to Learn More?

Check out Dr. Mishkin’s course on Bayesian Causal Networks here.

Presenter Bio

Dr. Mishkin is a Geographer and Interdisciplinary Ecologist who is broadly interested in understanding 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, Dr. Mishkin 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.