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Learning as an objective within a structured risk management decision process.

Timothy L McDaniels1, Robin Gregory

  • 1Institute for Resources and Environment, School of Community and Regional Planning, University of British Columbia, Room 415, 6333 Memorial Road, Vancouver, British Columbia, Canada, V6T 1Z2. timmcd@interchange.ubc.ca

Environmental Science & Technology
|April 29, 2004
PubMed
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This study proposes a simple method to improve risk management by making learning an explicit objective. This approach enhances decision-making for current and future challenges.

Area of Science:

  • Environmental Policy
  • Decision Science
  • Risk Management

Background:

  • Adaptive management offers potential for improved risk management through social learning.
  • Fostering social learning in adaptive management initiatives has yielded mixed results, necessitating practical guidance.
  • Risk management is increasingly viewed as a policy-analytic process involving diverse stakeholders.

Purpose of the Study:

  • To present a heuristic for enhancing risk management decisions by explicitly incorporating learning objectives.
  • To broaden the concept of the value of information to the value of learning.
  • To provide practical steps for treating learning as an explicit objective in policy decisions.

Main Methods:

  • Framing risk management as a policy-analytic decision process.

Related Experiment Videos

  • Developing the concept of the value of learning.
  • Reviewing concepts and steps for integrating learning as a decision objective.
  • Illustrating with a case study on water resource management.

    • Main Results:

    • Specifying learning as an explicit objective can improve risk management decisions.
    • Viewing learning as an objective offers benefits for stakeholders, institutions, and the decision process.
    • The heuristic provides a practical approach for applied risk management.

    Conclusions:

    • Explicitly defining learning objectives is a valuable strategy for adaptive management and risk reduction.
    • This approach enhances the adaptive capacity of decision-making frameworks.
    • The proposed heuristic offers a clear path for implementing learning-focused risk management.