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You are here: Home Nicholas Institute Events J. Marty Anderies-Design Principles for Robust Governance Systems

J. Marty Anderies-Design Principles for Robust Governance Systems

Students, faculty and staff are invited to a joint seminar sponsored by the Duke Center for Sustainability & Commerce at the Nicholas Institute for Environmental Policy Solutions and the Nicholas School of the Environment Division of Earth and Ocean Sciences.

When Mar 22, 2011
from 03:00 pm to 04:00 pm
Where Gross Chemistry, 107

Anderies talk will present a framework for the study of policy implementation in highly uncertain natural resource systems where uncertainty cannot be characterized by probability distributions. He will apply the framework to parametric uncertainty in the traditional Gordon-Schaefer model of a fishery to illustrate how performance can be sacrificed for reduced sensitivity, and increased robustness, with respect to model parameter uncertainty. He will highlight several key insights that emerge from the analysis:

 

  • Classical optimal control policies can be very sensitive to parametric uncertainty
  • Even mild robustness properties are difficult to achieve for the simple Gordon-Schaefer model; and
  • Achieving increased robustness with respect to some parameters (e.g. biological parameters) necessarily results in increased sensitivity (decreased robustness) with respect to other parameters (e.g. economic parameters). 

 

Taken together, these insights illustrate fundamental robustness-vulnerability trade-offs and the limits to robust natural resource management. 

 

About Anderies:

J. Marty Anderies is an Associate Professor with a joint appointment in the School of Human Evolution and Social Change and School of Sustainability at Arizona State University. Dr. Anderies received his Ph.D. in Mathematics from The University of British Columbia. His current research interests focus on robust management and robust institutional design for coupled social-ecological systems. He studies a range of archaeological, historical, and present-day examples of social-ecological systems using formal mathematical modeling and analysis to develop an understanding of ecological, behavioral, social, and institutional factors that generate vulnerability and/or enhance resilience and robustness in social-ecological systems. Other areas of interest include economic growth, demographics, and the environment.

 

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