Science advisers must open up about uncertainties

Early warnings about risks posed to the ozone layer were a minority view Copyright: Flickr/NASA Goddard Photo and Video

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<h1>Science advisers must open up about uncertainties</h1>
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<p><span>Experts offering scientific advice will serve policymakers best by communicating uncertainties and by breaking with the current practice of giving overly simplified messages about risk, says Andy Stirling.</span></p>
<p><span>Scientists called on to offer policy guidance tend to do so with definitive answers — a single interpretation of the available evidence, which is considered best practice. The uncertainties end up hidden away in quantified measures of risk, leaving no room for different interpretations.</span></p>
<p><span>This does not go far enough to ensure a complete understanding of scientific information, says Stirling, and leaves science advice open to political manipulation by special-interest groups. </span></p>
<p><span>There is a need to move from a narrow focus on risk to broader and deeper understanding of incomplete knowledge, he argues. Accepting that knowledge is complex by nature promises to deliver guidance that is more rigorous and robust, leaving policymakers accountable for their decisions.</span></p>
<p><span>The scientific community should also learn from past mistakes, adds Stirling. Early warnings about risks to the ozone layer posed by the release of halogenated hydrocarbons came from scientists opposed to the mainstream view. And most experts initially discounted the idea that spongiform encephalopathies — diseases such as the mad cow disease — could spread in ways not seen before.</span></p>
<p><span>Stirling backs thorough and explicit assessments of incomplete knowledge that focus on neglected uncertainties, tackle disagreements that stem from ambiguity, and resist ‘one-track’ views of progress that can stifle innovation. </span></p>
<p><span>Experts should adopt methods that highlight alternative interpretations — and document the regulatory questions to be answered as well as assumptions, value judgments or intentions that go with each of them. The few examples of where this approach has been used suggest that it can work, says Stirling, creating a more open process of making policy decisions. <br />
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<p><span><a href="http://www.nature.com/nature/journal/v468/n7327/full/4681029a.html">Link to full article in <em>Nature</em></a></span></p>

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Experts offering scientific advice will serve policymakers best by communicating uncertainties and by breaking with the current practice of giving overly simplified messages about risk, says Andy Stirling.

Scientists called on to offer policy guidance tend to do so with definitive answers — a single interpretation of the available evidence, which is considered best practice. The uncertainties end up hidden away in quantified measures of risk, leaving no room for different interpretations.

This does not go far enough to ensure a complete understanding of scientific information, says Stirling, and leaves science advice open to political manipulation by special-interest groups.

There is a need to move from a narrow focus on risk to broader and deeper understanding of incomplete knowledge, he argues. Accepting that knowledge is complex by nature promises to deliver guidance that is more rigorous and robust, leaving policymakers accountable for their decisions.

The scientific community should also learn from past mistakes, adds Stirling. Early warnings about risks to the ozone layer posed by the release of halogenated hydrocarbons came from scientists opposed to the mainstream view. And most experts initially discounted the idea that spongiform encephalopathies — diseases such as the mad cow disease — could spread in ways not seen before.

Stirling backs thorough and explicit assessments of incomplete knowledge that focus on neglected uncertainties, tackle disagreements that stem from ambiguity, and resist ‘one-track’ views of progress that can stifle innovation.

Experts should adopt methods that highlight alternative interpretations — and document the regulatory questions to be answered as well as assumptions, value judgments or intentions that go with each of them. The few examples of where this approach has been used suggest that it can work, says Stirling, creating a more open process of making policy decisions.

Link to full article in Nature