decision making in an uncertain world · fischbach, j., managing new orleans flood risk in an...
TRANSCRIPT
Decision Makingin an Uncertain World
Robert LempertDirector
RAND Pardee Center on Longer-Range Global Policyand the Future Human Condition
Keeping Our Heads Above Water:Adapting to Climate Change in Southern California
May 2, 2011
2
Adaptation to Climate Change Poses BothAnalytic and Organizational Challenges
• Solution requires rethinking how we use uncertainclimate information in our planning
• Recent reports suggests:– There are limits to the applicability and usefulness of
classic decision analysis to climate-related problems
– Seeking robust strategies may prove a preferableapproach
– Any analytic approach should be embedded inappropriate process of stakeholder engagement
• Planning with statistics of future climate based on projections,rather than just replicating recent history, requires
• Usefully summarizing incomplete information from new, fast-moving, and potentially irreducibly uncertain science
• Justifying analytic choices to diverse constituencies, many ofwhom may object to implications of some particular choices
3
Believing Forecasts of the UnpredictableCan Contribute to Bad Decisions
• In the early 1970sforecasters madeprojections of U.Senergy use based ona century of data
Gross national product (trillions of 1958 dollars)2.22.01.81.61.41.21.0.8.6.4.20
180
Energy use (1015 Btu per year)0
Historicaltrend
continued1970
1920 19291940
19501960
1910
1973
19731900
1890
20 40 60 80 100 120 140 160
1975 Scenarios
4
Believing Forecasts of the UnpredictableCan Contribute to Bad Decisions
Gross national product (trillions of 1958 dollars)2.22.01.81.61.41.21.0.8.6.4.20
180
Energy use (1015 Btu per year)0
Historicaltrend
continued1970
1920 19291940
19501960
1910
1973
19731900
1890
20 40 60 80 100 120 140 160
2000 Actual
1990
19801977
1975 Scenarios2000 Actual
1990
19801977
• In the early 1970sforecasters madeprojections of U.Senergy use based ona century of data
… they all were wrong
5
Traditional Planning Methods Can ComplicateDecisions Under Deep Uncertainty
Traditional analytic methods characterize uncertainties as aprelude to assessing alternative decisions
Climate change (and many other challenges) confrontdecisionmakers with deep uncertainty, where
– They do not know, and/or key parties to the decision do not agree on, thesystem model, prior probabilities, and/or “cost” function
Decisions can go awry if decisionmakers assume risks are well-characterized when they are not
– Uncertainties are underestimated– Competing analyses can contribute to gridlock– Misplaced concreteness can blind decision-makers to surprise
Predict Act
6
Robust Decision Making (RDM) Helps Inform GoodDecisions Without Reliable Predictions
Candidateplans
Identifyvulnerabilities
Assess alternativesfor amelioratingvulnerabilities
Key idea – conduct the analysis in reverse order from predict thenact:
1. Start with a proposed plan for a specific decision maker
2. Use analytics to identify (multi-attribute) scenarios that describethe future conditions where proposed plan fails to meet its goals
3. Use these scenarios to identify potential actions to addressvulnerabilities and evaluate tradeoffs among them
4. Repeat until stakeholders agree the resulting plan is robust acrossmultiple views and unknowns regarding the future
7
Currently Applying This RDM Approach WithMany Resource Management Agencies
2004
2005
2006
2007
2008
2009
2010
2011
Long-term WaterResources Planning
Coastal Protection and Restoration
IEUA ClimateAdaptationStudies (NSF)
2005 CaliforniaWater Plan (NSF) US ACE
Risk InformedDecision Framework
Gulf CoastFisheriesStudy
CORiverStudy
SierraNevadaClimateAdaptationStudy(PIER)
2009CaliforniaWater Plan
MWD 2009IntegratedResourcePlan
DenverWaterPilotProject Louisiana OCPR
Annual Plans & 2012Master Plan Update
New OrleansRiskMitigationStudy(NOAA)
Port of L.A.& sea levelrise (NSF)
World BankCase Studies:Mexico City,Vietnam,Kosovo
2013California
Water Plan
Water Resources FoundationCO Springs Utilities & NYC
8
RDM Consists of Analytic Methods Embedded in aProcess of Stakeholder Engagement
Recent U.S. National Academy of Science report recommends forclimate-related decision support a process of deliberation withanalysis, which is an iterative process that:
• Begins with the many participants to a decision working togetherto define its objectives and other parameters,
• Working with experts to generate and interpret decision-relevantinformation, and
• Then revisiting the objectives and choices based on thatinformation.
9
Importantly, RDM Consists of Analytic MethodsEmbedded in a Process of Stakeholder Engagement
Recent U.S. National Academy of Science report recommends forclimate-related decision support a process of deliberation withanalysis, which is an iterative process that:
• Begins with the many participants to a decision working togetherto define its objectives and other parameters,
• Working with experts to generate and interpret decision-relevantinformation, and
• Then revisiting the objectives and choices based on thatinformation.
To address specific cognitive and organizational barriers togood decisions, RDM implements such a process by:
• Beginning with one or more policies under consideration, and anunderstanding of what would constitute success
• Identifying vulnerabilities of those policies
• Identifying and evaluating potentially robust responses
10
– Current water sources include:
• Groundwater 56%
• Imports 32%
• Recycled 1%
• Surface 8%
• Desalter 2%
Helped Inland Empire Utilities Agency (IEUA) IncludeClimate Change in Their Long-Range Plans
– IEUA currently serves 800,000people
• May add 300,000 by 2025
– Water presents a significantchallenge
RAND TR-505-NSF
11
– Current water sources include:
• Groundwater 56%
• Imports 32%
• Recycled 1%
• Surface 8%
• Desalter 2%Focus of IEUA’s 25 year plan
Helped Inland Empire Utilities Agency (IEUA) IncludeClimate Change in Their Long-Range Plans
– IEUA currently serves 800,000people
• May add 300,000 by 2025
– Water presents a significantchallenge
RAND TR-505-NSF
12
Model Performance of plans
IEUA Plans
System data & climate forecasts
Simulation Model Assesses Performance ofIEUA Plans in Many Different Scenarios
Temp: +1.6Temp: +1.6ooC Precip: -10%C Precip: -10%
Scenario BPlan suffers shortages inadverse future climate
005050
100100150150200200250250300300350350400400
20052005 20102010 20152015 20202020 20252025 20302030YearYear
Ann
ual s
uppl
y (ta
f)A
nnua
l sup
ply
(taf)
Recycled
GroundwaterGroundwater
Local SuppliesLocal Supplies
ImportsImports
Dry-year yieldDry-year yieldSurplusSurplus
ShortageShortage
Temp: +0.7Temp: +0.7ooC Precip: +3%C Precip: +3%
Scenario APlan generates surpluses inbenign future climate
005050
100100150150200200250250300300350350400400
20052005 20102010 20152015 20202020 20252025 20302030YearYear
Ann
ual s
uppl
y (ta
f)A
nnua
l sup
ply
(taf)
RecycledRecycled
GroundwaterGroundwater
ImportsImportsSurplusSurplus
Local SuppliesLocal Supplies
Groves et. al. (2007)
13
Many Uncertain Factors Could Impactthe Performance of Current IEUA Plan
NaturalProcesses
• Future temperatures
• Future precipitation
• Changes in groundwater processes
Performance ofManagementStrategies
• Development of aggressive waste-waterrecycling program
• Implementation of groundwaterreplenishment
Costs of FutureSupplies andManagementActivities
• Imported supplies
• Water use efficiency
14
0 1.0 2.0 3.0 4.0PV shortage cost ($ billions)
2.5
3.0
3.5
4.0
PV s
uppl
y co
st ($
bill
ions
)
Scenario A
Scenario B
• Adverse climate• $3.4 billion in supply
cost• $1.9 billion in
shortage cost
Current IEUA plan forever
• Benign climate• $3.3 billion in supply
cost• $0 in shortage cost
“Scenario Maps” Help Decision MakersVisualize a Plans’ Vulnerabilities
Source: David G. Groves, Robert J. Lempert, Debra Knopman, Sandra H. Berry, 2008: Preparing for an UncertainFuture Climate in the Inland Empire: Identifying Robust Water-Management Strategies, DB-550-NSF, RAND
Choosecandidatestrategy
Identifyvulnerabilities
Identify &assessoptions
15
0 1.0 2.0 3.0 4.0PV shortage cost ($ billions)
2.5
3.0
3.5
4.0
PV s
uppl
y co
st ($
bill
ions
)
Current IEUA plan forever
(200 Scenarios)
“Scenario Maps” Help Decision MakersVisualize a Plans’ Vulnerabilities
RAND DB-550-NSF
Consideroptions
Identifyvulnerabilities
Assessalternativeresponses
16
0 1.0 2.0 3.0 4.0PV shortage cost ($ billions)
2.5
3.0
3.5
4.0
PV s
uppl
y co
st ($
bill
ions
)
Current IEUA Plan Forever
$3.75 billioncost threshold
Current plangenerates high costsin 120 of 200Scenarios
“Scenario Maps” Help Decision MakersVisualize a Plans’ Vulnerabilities
Consideroptions
Identifyvulnerabilities
Assessalternativeresponses
17
0 1.0 2.0 3.0 4.0PV shortage cost ($ billions)
2.5
3.0
3.5
4.0
PV s
uppl
y co
st ($
bill
ions
)
Current IEUA plan forever
Statistical “Scenario Discovery” AnalysisIdentifies Scenario Where Existing Plan Fails
These three factorsexplain 70% ofvulnerabilities ofIEUA’s current plans
RAND DB-550-NSF
Consideroptions
Identifyvulnerabilities
Assess alternativeresponses
18
IEUA Considered Response Options ThatEvolve Over Time with New Information
Act now toAct now toaugmentaugment
2005 Plan?2005 Plan?
NO
Monitor, andMonitor, andtake additionaltake additional
action ifaction ifsupplies dropsupplies drop
too lowtoo low
In 2015, 2020, 2025, ….
YES
ImplementImplementadditionaladditionalefficiency,efficiency,
recycling, andrecycling, andreplenishmentreplenishment
In 2015, 2020, 2025, ….
Monitor, andMonitor, andtake additionaltake additional
action ifaction ifsupplies dropsupplies drop
too lowtoo low
Consideroptions
Identifyvulnerabilities
Assessalternatives
19
Compare Alternative Plans With DifferentMixes of “Act Now” vs. “Act Later”
0 20 403010
Static options
Update options
Number of Scenarios(PV Costs > $3.75 billion)
UWMP with updates
UWMP + replenishment with updates
UWMP + efficiency
UWMP + efficiency with updates
UWMP + DYY and recycling with updates
UWMP + all enhancements
Economic CostsDecrease, ButUnquantifiedOpportunity
Costs Increase
RAND DB-550-NSF
Consider options
Identify vulnerabilities
Assess alternatives
Current static UWMPvulnerable in 120 scenarios
20
Compare Alternative Plans With DifferentMixes of “Act Now” vs. “Act Later”
0 20 403010
Static options
Update options
Number of Scenarios(PV Costs > $3.75 billion)
UWMP with updates
UWMP + replenishment with updates
UWMP + efficiency
UWMP + efficiency with updates
UWMP + DYY and recycling with updates
UWMP + all enhancements
IEUA chose to accelerate their dry-year yield and recyclingprograms, and adapt as needed down the road
RAND DB-550-NSF
Economic CostsDecrease, ButUnquantifiedOpportunity
Costs Increase
21
Such Robust Adaptive Plans AlsoProving Useful at the Regional Level
– Blue Ribbon Committee tolook out 50 years and“identify and recommendnew business models andstrategies that will help theregion meet its long-rangewater needs.”
– Planning staff to identifyearly warning indicatorsneeded to implement theiradaptive managementIntegrated Resources Plan
RAND is using these approaches to help theMetropolitan Water District’s:
22
Some Key Ideas for Adaptation Planning
• Approach described here uses sophisticated analytic toolswithin a specific process of stakeholder engagement
• Key idea is even more broadly applicable:• Use analysis to identify vulnerabilities of specific plans and
compare robust responses• See for instance, suite of approaches described by World
Resources Institute: http://www.worldresourcesreport.org/decision-making-in-depth/managing-uncertainty
Encourage policy makers to change the question from
“What will the future bring?”
to
“What steps can we take today to most assuredly shape thefuture to our liking?”
23
More Information
Bryant, B. P., and Lempert, R. J., "Thinking inside the box: A participatory, computer-assisted approach to scenario discovery." Technological Forecasting and SocialChange, 77(1), 34-49, 2010.
Fischbach, J., Managing New Orleans Flood Risk in an Uncertain Future Using Non-Structural Risk Mitigation. Santa Monica, RAND. 2010.
David G. Groves, Robert J. Lempert, Debra Knopman, Sandra H. Berry: Preparing foran Uncertain Climate Future: Identifying Robust Water Management Strategies,RAND DB-550-NSF, 2008.
David G. Groves, Debra Knopman, Robert J. Lempert, Sandra H. Berry, and LynneWainfan, Presenting Uncertainty About Climate Change to Water ResourceManagers, RAND TR-505-NSF, 2007.
Lempert, R., and Collins, M. (2007). "Managing the Risk of Uncertain ThresholdResponses: Comparison of Robust, Optimum, and Precautionary Approaches." RiskAnalysis, 27(4), 2007.
Steven W. Popper, Robert J. Lempert, and Steven C. Bankes: "Shaping the Future,"Scientific American, vol 292, no. 4 pp. 66-71, April 2005
www.rand.org/ise/projects/improvingdecisions/
24
Thank you!