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14-1190b-innovation-managing-risk-evidence

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1<strong>14</strong><br />

people and institutions behave such that <strong>innovation</strong> achieves<br />

desired outcomes 31 . This framework privileges anticipation,<br />

reflection, deliberation and response 32 , placing an onus on<br />

innovators to reflect and listen to societal concerns and<br />

governance systems that develop social intelligence around<br />

the direction and control of technology 33 .<br />

The UK Royal Commission on Environmental Pollution 34<br />

introduced the concept of continual ‘social intelligence’<br />

gathering as a preferred approach to understanding<br />

how societal views and responses to new technologies<br />

are developing, viewing one-off public engagement as<br />

often being limited by time and, importantly, context.<br />

The recommendation resonated with the international<br />

experience of participatory technology assessment — such<br />

as Real-Time Technology Assessment (RTTA) 35 , for example,<br />

an approach practised for over ten years by the Centre<br />

for Nanotechnology in Society at Arizona State University<br />

— and the various attempts by technology-assessment<br />

organizations in Europe to open up assessment to more<br />

inclusive approaches. The Danish Board of Technology,<br />

for example, sought to combine its more formal role of<br />

assessing technologies with proactive efforts to foster<br />

public debates, particularly using consensus conferences. It<br />

is disappointing that RTTA and similar approaches have not<br />

gained real decision-making traction.<br />

Other chapters in this report highlight the important,<br />

indeed essential, role for communication and engagement<br />

in <strong>risk</strong> decision-making. In Chapter 5, Tim O’Riordan’s plea<br />

to hold a ‘wider conversation’ is tinged with concern for<br />

the demands that opening-up decisions on <strong>innovation</strong> and<br />

<strong>risk</strong> inherently implies. These demands are not simply in the<br />

effective discussion of the science, and the need for honesty<br />

about the uncertainties. Indeed, all of our <strong>evidence</strong> confirms<br />

that through discussion-based engagement, members of the<br />

public can readily engage with science and appreciate that<br />

certainty about outcomes is not possible.<br />

Conclusion – Responding to Culture and Motive<br />

This chapter has sought to show that social, economic,<br />

cultural and political contexts are fundamentally important<br />

to how people and institutions respond to <strong>risk</strong>. How<br />

institutions behave in the public interest has a significant<br />

impact. As Sykes and Macnaghten note: “opening a dialogue<br />

is never a public good in itself: its value depends on the<br />

political culture in which it is enacted” 36 . This was strongly<br />

evident in the case of the waste-strategy development in<br />

Hampshire and East Sussex, two geographically-close local<br />

authorities in the United Kingdom. In each area, the same<br />

waste management company attempted public engagement<br />

around the detailed planning of energy-from-waste plants.<br />

In Hampshire, there was strong political support, and the<br />

need for the technology had been subject to extensive<br />

public engagement — but in East Sussex the opposite was<br />

true. This background meant that it was more difficult for<br />

the company to engage with the public in East Sussex. Public<br />

engagement is never merely a suite of methods that can be<br />

rolled out from place-to-place, regardless of context 37 .<br />

The metaphor of the ‘field of play’ has been applied to<br />

Public engagement is<br />

never merely a suite of<br />

methods that can be<br />

rolled out from placeto-place,<br />

regardless of<br />

context.<br />

the idea of mediated <strong>risk</strong> communication 38 . Developed in<br />

response to the over-simplified view of the role of the<br />

media as perpetrators of the social amplification of <strong>risk</strong>s, the<br />

model sees audiences as active rather than passive receivers<br />

of messages. Government and state agencies, opposition<br />

parties, campaigning groups, corporations, scientific and<br />

expert communities as well as the media engage in a<br />

continual contest for public position and advantage.<br />

Communication and engagement has to be design-based and<br />

user-centered; that is based on an understanding of existing<br />

(and hence inherently changing) knowledge and beliefs. This<br />

requires detailed analysis over time of how different publics<br />

talk about and respond to highly specific and contextdependent<br />

<strong>risk</strong> issues.<br />

This is far easier to say than to do (as discussed in<br />

Chapters 5, 7 and 11). Although a ‘new governance agenda’<br />

(see Chapter 11) is evident, closing the gap between<br />

listening to views and concerns, and developing publiclytrusted<br />

policy responses around <strong>innovation</strong>, remains a<br />

serious challenge not only nationally but particularly in a<br />

trans-national context. This is because the opening up of<br />

decisions on <strong>innovation</strong> challenges preferred and embedded<br />

positions of expertise, power and authority.<br />

Ultimately, <strong>innovation</strong> may not be tolerated at a particular<br />

point in time for perfectly logical reasons that have far less<br />

to do with concerns about the potential <strong>risk</strong>s than with<br />

disquiet about institutional motives and behaviour, and<br />

perceived threats to the things that people value. There is<br />

an onus on decision-makers to proactively enhance their<br />

understanding of the power of context and to appreciate<br />

the common dimensions of responses, even between<br />

apparently unrelated <strong>risk</strong>s. There is an essential need to<br />

gather social intelligence over time rather than merely<br />

supporting one-off public engagement exercises, particularly<br />

where these have more to do with trying to persuade the<br />

public of the benefits and the safety of technology. Effective<br />

<strong>innovation</strong> will require a partnership between decisionmakers<br />

and the public that is characterized by listening,<br />

open and ongoing discussions, and trust. Of course, such<br />

characteristics take time and resources to develop and<br />

perfect. But expending such effort is likely to be more<br />

efficient and effective in supporting <strong>innovation</strong>.

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