Good Morning - PowerPoint PPT Presentation

1 / 20
About This Presentation
Title:

Good Morning

Description:

Chapter 4 'Decision Support Resources' Identifies Four Issues. ... Decision Support Systems for Decisionmaking under Uncertainty. ... – PowerPoint PPT presentation

Number of Views:20
Avg rating:3.0/5.0
Slides: 21
Provided by: robert1421
Category:
Tags: good | morning | support

less

Transcript and Presenter's Notes

Title: Good Morning


1
Good Morning
2
Thoughts for the Breakout Session on Scenario
Development and Risk-Based Decision Support
3
  • Chapter 4 Decision Support Resources
  • Identifies Four Issues..
  • Evaluation and synthesis for policy analysis and
    operational resource management,
  • Analytical techniques for serving decision needs,
  • Applied climate modeling, and
  • Resources for risk analysis and decisionmaking
    under uncertainty.

4
  • Chapter 4 Decision Support Resources
  • Identifies Four Issues..
  • Assessments

5
  • Chapter 4 Decision Support Resources
  • Identifies Four Issues..
  • Assessments,
  • Methods, Models, and Tools

6
  • Chapter 4 Decision Support Resources
  • Identifies Four Issues..
  • Assessments,
  • Methods, Models, and Tools,
  • Scenarios

7
  • Chapter 4 Decision Support Resources
  • Identifies Four Issues..
  • Assessments,
  • Methods, Models, and Tools,
  • Scenarios, and
  • Decision Support Systems for Decisionmaking under
    Uncertainty.

8
  • Chapter 4 Decision Support Resources
  • Identifies Four Issues..
  • Assessments,
  • Methods, Models, and Tools,
  • Scenarios, and
  • Decision Support Systems for Decisionmaking under
    Uncertainty.

9
Experience with Assessments Strongly Suggests
that for.......
  • Assessments to be effective, they should be
    implemented so that they evidence
  • CREDIBILITY They are demonstrably objective and
    science/knowledge-based,
  • SALIENCY Relevant to decision-making needs and
    stakeholders interests,
  • LEGITIMATCY Conducted within a framework that
    complies with recognized rules, standards,
    practices, and common interests acting within
    appropriate entities.
  • These three attributes are tightly
    interdependent, they have proven to be the
    essential characteristics of effective and useful
    assessments.

10
Recent Experience, further Suggests that
Assessments.......
  • Should be implemented so that they involve
  • Not only Scientists, Technical Specialists, and
    other Experts, but
  • Users, Stakeholders, and others impacted by the
    issues being addressed in the assessment and
  • Individuals, Institutions and other implementers
    of decisions, policy-making, and operational
    practices.
  • The concept of co-producing the assessment has
    gained increased legitimacy and is proving to be
    an effective strategy for conducting assessments
    that can lead to decisionmaking and policy
    action.

11
  • Chapter 4 Decision Support Resources
  • Identifies Four Issues..
  • Assessments,
  • Methods, Models, and Tools,
  • Scenarios, and
  • Decision Support Systems for Decisionmaking under
    Uncertainty.

12
Methods, Models, and Tools of Analysis for
Decision-making
  • Case Studies augmented with Semi-Quantitative or
    Statistical Methodologies,
  • Risk Disaster Analysis and Assessment,
  • Re-Analysis of Historical Records,
  • Integrated Modeling Simulation (Emphasizing
    Multi-Agent Approaches and Decision Theatres),
  • Statistical and Stochastic Approaches (e.g.
    Economic Valuation Schemes),
  • Statistical and Dynamic Downscaling Approaches,
  • Extreme-Value Statistics and Non-Linear Dynamics,
  • Linear Algebraic and Operational Research
    Formulations,
  • Integrated Assessment Models,
  • Advanced Versions of Game Theory, Policy
    Exercises, and war games,
  • Matrix and Inverse Transform Methods,
  • Systems Analysis, Optimization, Advanced Control
    Theoretic Models, and Criticality Theory,
  • Semi-Quantitative Typology (Degradation
    Syndromes, etc.),
  • Complex Indicator Approaches,
  • Neural Nets,
  • Expert Systems, Rule-based Models, and other
    Boolean Approaches, and
  • Fuzzy Logic Approaches.

13
Methods, Models, and Tools of Analysis for
Decision-making
  • Case Studies augmented with Semi-Quantitative or
    Statistical Methodologies,
  • Risk Disaster Analysis and Assessment,
  • Re-Analysis of Historical Records,
  • Integrated Modeling Simulation (Emphasizing
    Multi-Agent Approaches and Decision Theatres),
  • Statistical and Stochastic Approaches (e.g.
    Economic Valuation Schemes),
  • Statistical and Dynamic Downscaling Approaches,
  • Extreme-Value Statistics and Non-Linear Dynamics,
  • Linear Algebraic and Operational Research
    Formulations,
  • Integrated Assessment Models,
  • Advanced Versions of Game Theory, Policy
    Exercises, and war games,
  • Matrix and Inverse Transform Methods,
  • Systems Analysis, Optimization, Advanced Control
    Theoretic Models, and Criticality Theory,
  • Semi-Quantitative Typology (Degradation
    Syndromes, etc.),
  • Complex Indicator Approaches,
  • Neural Nets,
  • Expert Systems, Rule-based Models, and other
    Boolean Approaches, and
  • Fuzzy Logic Approaches.

14
Statistical Downscaling to Enhance Understanding
at Local Scales
Source A Study at the Abisko Laboratory of Net
Primary Production under Changing Climate
Conditions
15
  • Chapter 4 Decision Support Resources
  • Identifies Four Issues..
  • Assessments,
  • Methods, Models, and Tools,
  • Scenarios, and
  • Decision Support Systems for Decisionmaking under
    Uncertainty.

16
Scenarios They Set the Frame for the Outcomes
and Products of Assessments.
  • Scenarios that Drive Climate Models A2, B2,
    IS92A, etc. as developed by the IPCC,
  • Scenarios Based on Ensemble and Averaging
    Schemes Ensemble and averaging schemes in order
    to generate robust probabilistic results
    independent of particular uncertainties will be
    essential aspects of the research.
  • Multiple Perturbation Scenarios Introducing both
    regular (smooth) and singular (discontinuous or
    extreme) disturbances as scenarios, urbanization
    or industrial transformation.
  • Historic Transitions -- Analogue Scenarios Using
    past (i.e., using actual climates documented from
    the paleo-record and sliding it forward and
    askingwhat if this happened now?
  • If then Scenarios -- If this set of conditions
    were to exist in the future, then what would be
    the impacts, vulnerabilities, and/or
    consequences?
  • Worldview Scenarios Scenarios derived from
    archetypal views of the world, then transformed
    into scenarios for the analysis of plausible
    futures, e.g.,
  • Conventional World driven by market forces ( Adam
    Smith view)
  • Conventional World driven by policy stewardship (
    Keynes and Brundtland view)
  • A Breakdown World driven by gloom, population
    catastrophe ( Malthus view)
  • A Fortress World driven by social chaos (Hobbes
    view)
  • A Great Transitions World driven by
    eco-communualism (Utopians, Ghandhi view)
  • A Great Transitions World driven by a
    sustainability paradigm (Mills view)
  • A Muddling Through World driven by no grand
    philosophies (The Let George do it approach)

There is a wide range of strategies, we should
broaden our options to analyze and to estimate
plausible futures in response to climate
variability and change.
17
A World Summit Implementation, Focuses the
Scenarios on the Impacts and Consequences in Five
Key Sectors, the WEHAB Approach by Assessment the
Impacts and Vulnerabilities for
  • Water,
  • Energy,
  • Health,
  • Agriculture, and
  • Biodiversity.

18
  • Chapter 4 Decision Support Resources
  • Identifies Four Issues..
  • Assessments,
  • Methods, Models, and Tools,
  • Scenarios, and
  • Decision Support Systems for Decisionmaking under
    Uncertainty.

19
Lets Pause and Look at the Arctic
20
(No Transcript)
Write a Comment
User Comments (0)
About PowerShow.com