File:Block diagram showing an iterative and adaptive decision strategy (US CCSP).svg

Summary
These block diagrams show two decision strategies:
- A is a decision strategy in which nothing is done until research resolves all key uncertainties
- B is an iterative and adaptive decision strategy, where action is taken before all key uncertainties are resolved.
According to M. Granger Morgan et al. (2009), and decision strategy B is better than A when there is deep uncertainty over decisions, as is the case with <a href="https://en.wikipedia.org/wiki/global_warming" class="extiw" title="en:global warming">climate change</a>. For decision strategy B, policy is continually reassessed based on the success of previous policies, and allowing for information based on new research. See also <a href="https://en.wikipedia.org/wiki/economics_of_global_warming" class="extiw" title="en:economics of global warming">economics of global warming</a>.
Summary of diagrams
Decision strategy A:
- starts off with (1) identifying the problem at hand. This flows to:
- (2): do research. This flows to:
- (3): gain a full understanding of all the relevant issues. This feeds back to (2) and to:
- (4): identify policy options. This flows to:
- (5): implement the optimal policy. This flows to:
- (6): solve the problem.
Decision strategy B:
- starts off with (1): identifying a problem. This flows to:
- (2): do research. This flows to:
- (3): learn what you can and what you can't know (at least now). This flows to two tasks: (4) and (5):
- (4): identify adaptive policies and choose one that currently looks best. An adaptive policy can be revised based on new evidence. (4) flows to (6).
- (5): continue research. (5) flows to (7).
- (6): implement policy and observe how it works. This flows to:
- (7): Reassess policy in light of new understanding. This flows to:
- (8): Refine problem identification as needed. This feeds back to (4) and (2).
Licensing
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File history
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 00:06, 15 January 2017 | ![]() | 1,502 × 1,240 (82 KB) | 127.0.0.1 (talk) | These block diagrams show two decision strategies: <ul> <li>A is a decision strategy in which nothing is done until research resolves all key uncertainties</li> <li>B is an iterative and adaptive decision strategy, where action is taken before all key uncertainties are resolved.</li> </ul> <p>According to M. Granger Morgan <i>et al.</i> (2009), and decision strategy B is better than A when there is deep uncertainty over decisions, as is the case with <a href="https://en.wikipedia.org/wiki/global_warming" class="extiw" title="en:global warming">climate change</a>. For decision strategy B, policy is continually reassessed based on the success of previous policies, and allowing for information based on new research. See also <a href="https://en.wikipedia.org/wiki/economics_of_global_warming" class="extiw" title="en:economics of global warming">economics of global warming</a>. </p> <p><i>Summary of diagrams</i> </p> <p>Decision strategy A: </p> <ul> <li>starts off with (1) identifying the problem at hand. This flows to:</li> <li>(2): do research. This flows to:</li> <li>(3): gain a full understanding of all the relevant issues. This feeds back to (2) and to:</li> <li>(4): identify policy options. This flows to:</li> <li>(5): implement the optimal policy. This flows to:</li> <li>(6): solve the problem.</li> </ul> <p>Decision strategy B: </p> <ul> <li>starts off with (1): identifying a problem. This flows to:</li> <li>(2): do research. This flows to:</li> <li>(3): learn what you can and what you can't know (at least now). This flows to two tasks: (4) and (5):</li> <li>(4): identify adaptive policies and choose one that currently looks best. An adaptive policy can be revised based on new evidence. (4) flows to (6).</li> <li>(5): continue research. (5) flows to (7).</li> <li>(6): implement policy and observe how it works. This flows to:</li> <li>(7): Reassess policy in light of new understanding. This flows to:</li> <li>(8): Refine problem identification as needed. This feeds back to (4) and (2).</li> </ul> |
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