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Tutorial Description Webinar Videos (Coming soon!)

NIMBioS Adaptive Management Webinar Series

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Register here to view these open webinars!

Join us for a series of webinars by experts in the field! Register once for the entire series – you will receive a reminder before each webinar. NIMBioS hosts a Q&A via Zoom. Viewers are able to submit questions, which will be monitored and moderated throughout each talk. You can also up-vote questions.

Due to coronavirus concerns, the NIMBioS Adaptive Management Tutorial, originally scheduled as an in-person event in April, will be conducted remotely. There will be two webinars each evening for which participants will register.


  • Iadine Chadés, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia
  • Paul L. Fackler, Agricultural & Resource Economics, North Carolina State Univ.
  • David Kling, Applied Economics, Oregon State Univ.
  • Michael Springborn, Environmental Science and Policy, Univ. of California, Davis

Co-organized in cooperation with Suzanne Lenhart (NIMBioS and Mathematics, Univ. of Tennessee, Knoxville) and Greg Wiggins (NIMBioS)

Webinar Series Description

Adaptive management seeks to determine sound management strategies in the face of uncertainty concerning the behavior of the system being managed. Specifically, it attempts to find strategies for managing dynamic systems while learning the behavior of the system. These webinars review the key concept of a Markov Decision Process (MDP) and demonstrate how quantitative adaptive management strategies can be developed using MDPs. Additional conceptual, computational and application aspects will be discussed, including dynamic programming and Bayesian formalization of learning.

Webinar Schedule (times are eastern US)

Monday, October 26

  • 5:00 p.m. Introduction and overview 2
  • 5:30-7:00 p.m. Session 1: Introduction to decision problems
  • 8:30-9:15 p.m. Session 2: Introduction to Markov decision processes (MDPs)
  • 9:15 p.m. Day 1 wrap up

Tuesday, October 27

  • 5:00 p.m. Recap of Day 1, introduction to Day 2
  • 5:15-6:45 p.m. Session 3: Solving Markov decision processes (MDPs)
  • 8:30-9:15 p.m. Session 4: Modeling beliefs
  • 9:15 p.m. Day 2 wrap up

Wednesday, October 28

  • 5:00 p.m. Recap of Day 2, introduction to Day 3
  • 5:15-6:45 p.m. Session 5: Conjugacy and discrete model adaptive management (AM)
  • 8:30-9:15 p.m. Session 6: More on AM problems (Dirichlet/multinomial and Gaussian prior/likelihood)
  • 9:15 p.m. Day 3 wrap up

Thursday, October 29

  • 5:00 p.m. Recap of Day 3, introduction to Day 4
  • 5:15-6:45 p.m. Session 7: Partially observable Markov decision processes (POMDPs)
  • 8:30-9:15 p.m. Session 8: Frontier topics (projection methods, approximate DP, communicating solutions)
  • 9:15 p.m. Day 4 wrap up

Video playlist coming soon! Webinars are streamed live and recorded for later viewing. A playlist of recorded presentations will be posted here when available. Slides and other resources will also be posted.

Updated 10/28/2020

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NIMBioS is supported by the National Science Foundation through NSF Award #DBI-1300426, with additional support from The University of Tennessee, Knoxville. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
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