Towards Analytic‐deliberative Forms of Risk Governance in the UK? Reflecting on Learning in Radioactive Waste

While participatory forms of risk assessment and management have been the focus of much conceptualisation, experimentation, and evaluation, relatively less effort has gone into understanding how so called ‘analytic‐deliberative’ processes are developing across policy‐for‐real decision contexts. This paper develops a novel typology of citizen‐science interaction as a basis for analysing the nature and extent of recent participatory risk assessment practice in the UK. It draws on the reflections of professional actors operating across the UK environmental risk domain, focusing down on practice in the area of radioactive waste between 1998 and 2003. Compared with past science‐centred approaches, analysis shows an ‘opening up’ of risk decision processes to extended actors, knowledges, and values, with particular importance placed on public involvement in front‐end framing. This is being constrained by a failure to integrate engagement throughout decision processes, the exclusion of publics from assessing/evaluating environmental risks, and the upholding of a strict separation between citizens/science. These patterns of analytic‐deliberative practice — determined by contextual influences, barriers and challenges operating across UK environmental risk issue‐areas — highlight the need for further methodological development and systematic evaluation of relations between processes and outcomes.     

Ethical assessment in radioactive waste management: a proposed reflective equilibrium‐based deliberative approach

Radioactive waste management facility siting has often been surrounded by political controversy. By attempting to overcome accusations of technocracy, radioactive waste management organisations are reframing the problem in terms of socio‐technical issues requiring the integrative assessment of complex scientific, political and ethical issues and establishing analytic‐deliberative decision‐making processes involving public and stakeholder involvement. One important aspect of a publicly supportable radioactive waste management strategy is that adequate ethical assessment is incorporated throughout the process. There are, however, certain incompatibilities between pluralistic public and stakeholder‐led engagement processes and the types of ethical justification stemming from normative ethical theory and the input of ethical expertise. An evaluation of previous work on ethics by the UK Committee on Radioactive Waste Management highlights some of the pitfalls of utilising these types of ‘top‐down’ inputs in a primarily ‘bottom‐up’ decision‐making process. This paper then proposes the development of a new approach inspired by John Rawls's concept of ‘reflective equilibrium’, to better bridge the divide between pluralistic analytic‐deliberative decision‐making and ethical assessment.     

Public participation: comparing approaches

Public participation in societal decision‐making is becoming more and more common. There have been numerous studies asserting the benefits of involving citizens and stakeholders in decision‐making at various levels in government and regulation. However, as several writers have noted, there have been few comparative studies demonstrating the relative advantages and disadvantages of different participation instruments. In this paper, we report a small series of experiments that seek to compare the efficacy of a few methods in a variety of circumstances. We argue that, although such experiments provide indications of the relative merits of participation instruments, a much more substantial and co‐ordinated programme is needed. We suggest two components of this programme: first, the development of a public domain knowledge base in which researchers can share, discuss and document their experiences within a common framework that will allow better comparisons; second, a programme of action research in which comparative experiments are attached to ‘live’ participation exercises on contemporary issues.     

An investigation into risk propensity in bull and bear markets

This paper addresses the primary contribution of prospect theory against the landscape of an individual’s self‐attributed risk propensity. Risk propensity is captured using the IPI psychometric questionnaire for a sample of 521 participants. Participants are also presented with probability‐based decisions, that are framed as both negative and positive prospects. Results show that personality constructs, specifically risk‐taking, become a consistent and emerging factor in decision‐making within the positive domain. In the negative domain, personality constructs associated with risk become more muted and are less likely to be a factor in decision‐making.     

A new social contract for technology? – On the policy dynamics of uncertainty

This paper proposes a typology of two fundamentally opposing conceptualizations of managing technology under uncertainty: ‘technology governability’ and ‘technology selection’. A wide variety of different versions of these idealized conceptualizations can be shown to underlie the controversies about scientific‐technological development. The example of genetic engineering indicates that such points of view are reconstructed over time in different forms and diverse settings, not only by the scientific community or during regulatory decision making, but by a rather wide‐reaching spectrum of social actors. Thus, the current efforts to open up science and technology decision making to a wider range of participants is interpreted here as an effort of generating a new social contract for technology management, by way of bridging the differences between the two opposing conceptualizations.     

The EC courts' contribution to refining the parameters of precaution

By virtue of its ambiguity, it has largely been left to the courts to flesh out the scope and application of the precautionary principle. This paper examines the contribution made by EC courts to defining the parameters of precautionary decision making. In so doing, it illustrates that, though the precautionary principle is seen to operate in a number of regulatory contexts, discernible trends in judicial interpretations of precaution and the underlying notion of ‘uncertainty’ can nevertheless be identified. In contrast with early judgments, the courts are beginning to explicitly interpret risk assessment processes as having a pivotal role in determining precautionary intervention. Rather than finding simply that circumstances of uncertainty warrant precautionary measures, the courts have started to require that clear, or ‘concrete’, evidence of harm, deriving from risk assessment, is established before intervention is justified. This paper posits three explanations for this shift: (i) the ‘better regulation’ initiative within Europe; (ii) the Commission's Communication on the Precautionary Principle; and (iii) WTO litigation on precautionary safeguard measures. The judicial move to affiliate precaution with risk assessment processes in decision making can be seen as a reflection of these factors.     

Influences of individual-level characteristics on risk perceptions to various categories of environmental health and safety risks

Over the last five decades, social science researchers have examined how the public perceives the risks associated with a variety of environmental health and safety (EHS) hazards. The body of literature that has been emerged diverse both in the methodology employed to collect and analyze data and in the subject of study. The findings have confirmed that risk perceptions vary between groups of individuals as well as between categories of EHS risks. However, the extant literature on EHS risk perceptions has failed to provide empirical insights into how risk perceptions can be best explained according to the interplay of both (1) the category of EHS hazard appraised and (2) the prominent individual-level characteristics that best explain observed risk perception differences. This study addresses this deficiency in the literature by providing insights into the individual and cumulative roles that various individual-level variables play in characterizing risk perceptions to various categories of EHS risks including ‘agentic risks’ like street drug use and cigarette smoking, ‘emerging technological risks’ like nanoparticles and cloning, and ‘manufacturing risks’ like air and chemical pollution. Our data are drawn from the 2009 Citizens, Science, and Emerging Technologies national study of United States households that investigated public perceptions of EHS risks, traditional and emerging media use, and various individual characteristics like personal demographics, socioeconomic factors, and perceptual filters. The findings show that some categories of EHS risks like those associated with emerging technologies may be more easily predicted than other categories of risks and that individual-level characteristics vary in their explanative power between risk categories even among a single sample of respondents.     

Science and proven experience: a Swedish variety of evidence-based medicine and a way to better risk analysis?

A key question for evidence-based medicine (EBM) is how best to model the way in which EBM should ‘[integrate] individual clinical expertise and the best external evidence’. We argue that the formulations and models available in the literature today are modest variations on a common theme and face very similar problems when it comes to risk analysis, which is here understood as a decision procedure comprising a factual assessment of risk, the risk assessment, and the decision what to do based on this assessment, the risk management. Both the early and updated models of evidence-based clinical decisions presented in the writings of Haynes, Devereaux and Guyatt assume that EBM consists of, among other things, evidence from clinical research together with information about patients’ values and clinical expertise. On this A-view, EBM describes all that goes on in a specific justifiable medical decision. There is, however, an alternative interpretation of EBM, the B-view, in which EBM describes just one component of the decision situation (a component usually based on evidence from clinical research) and in which, together with other types of evidence, EBM leads to a justifiable clincial decision but does not describe the decision itself. This B-view is inspired by a 100-years older version of EBM, a Swedish standard requiring medical decision-making, professional risk-taking and practice to be in accordance with ‘science and proven experience’ (VBE). In the paper, we outline how the Swedish concept leads to an improved understanding of the way in which scientific evidence and clinical experience can and cannot be integrated in light of EBM. How scientific evidence and clinical experience is integrated influences both the way we do risk assessment and risk management. In addition, the paper sketches the as yet unexplored historical background to VBE and EBM.     

A generalized probability framework to model economic agents' decisions under uncertainty

The applications of techniques from statistical (and classical) mechanics to model interesting problems in economics and finance have produced valuable results. The principal movement which has steered this research direction is known under the name of ‘econophysics’. In this paper, we illustrate and advance some of the findings that have been obtained by applying the mathematical formalism of quantum mechanics to model human decision making under ‘uncertainty’ in behavioral economics and finance. Starting from Ellsberg's seminal article, decision making situations have been experimentally verified where the application of Kolmogorovian probability in the formulation of expected utility is problematic. Those probability measures which by necessity must situate themselves in Hilbert space (such as ‘quantum probability’) enable a faithful representation of experimental data. We thus provide an explanation for the effectiveness of the mathematical framework of quantum mechanics in the modeling of human decision making. We want to be explicit though that we are not claiming that decision making has microscopic quantum mechanical features.     

Book Review

Organisational risk propensity directly affects the decision‐making behaviour of employees, with linked impacts on the ongoing prosperity of the organisation. The literature on an individual's risk behaviour is extensive. However, few studies investigate the risk propensity of an organisation. This study uses primary data from interviews within a major change programme in a FTSE100 pharmaceutical organisation to explore the characteristics of organisational risk propensity. The data are analysed using open coding procedures from Grounded Theory in order to fragment the category of ‘organisational risk propensity’ into some constituent properties and dimensions. An integrative framework is then inductively derived which provides insights into risk propensity within the case context; together with some cues for implementing changes to the organisation's risk propensity if so desired. The output from this research also provides a useful base from which to develop a survey instrument for assessing organisational risk propensity.     

Perception of technological risk: insights from research and lessons for risk communication and management

Technology has become a familiar companion in all areas of life. Production consumption, administration, education, communication, and leisure activities are all shaped by the use of technologies. However, people often associate with the term ‘technology’ attributes, such as catastrophic and potentially dangerous, and tend to take the benefits of technological products for granted. This asymmetry in risk–benefit perception is one of the main reasons why many consumers are concerned about ‘hidden’ risks of technologies and why they demand stringent regulatory actions when they feel unduly exposed to potential emissions or waste products associated with the lifecycle of technologies. This situation is often aggravated by social amplification processes, by which even small risks receive high media attention and are blown out of proportion in the public arena. At the same time, however, one needs to acknowledge that many technologies have the potential to harm the human health and the environment. The purpose of this article is to review our knowledge about risk perception with respect to technologies, in particular emerging technologies, and to suggest possible strategies to use this knowledge for improving our risk management practice. Technological risk perception is defined in this article as the processing of physical signals and/or information about a potentially harmful impact of using technology and the formation of a judgment about seriousness, likelihood, and acceptability of the respective technology. Based on the review of psychological, social, and cultural factors that shape individual and social risk perceptions, we have attempted to develop a structured framework that provides an integrative and systematic perspective on technological risk perception and that may assist risk management and regulation in taking perceptions into account.     

The joint influence of financial risk perception and risk tolerance on individual investment decision‐making

The increasing complexity of the investment environment has accelerated the need for better quality financial advice services. Central to quality advice is advisers’ accurate assessment of their clients’ risk characteristics. Typically a client's risk characteristic is assessed by measuring the client's risk tolerance but not risk perception. To assess whether this practice fails to fully capture the client's risk profile, we explore both risk tolerance and risk perception in the investment decision‐making context. Using Australian online survey data of financial adviser clients (n = 364), our results reveal that risk tolerance influences risky‐asset allocation directly and indirectly through risk perception. These results thus clarify the joint role of both risk constructs in the investment making decision and highlight the importance of assessing both in the provision of client financial advice services. Importantly, our results validate a new comprehensive risk perception measure applicable in the financial advice context.     

Learning risk preferences from investment portfolios using inverse optimization

The level of risk an investor can endure, known as risk-preference, is a subjective choice that is tightly related to psychology and behavioral science in decision making. This paper presents a novel approach of measuring risk preference from existing portfolios using inverse optimization on mean–variance portfolio allocation framework. Our approach allows the learner to continuously estimate real-time risk preferences using concurrent observed portfolios and market price data. We demonstrate our methods on robotic investment portfolios and real market data that consists of 20 years of asset pricing and 10 years of mutual fund portfolio holdings. Moreover, the quantified risk preference parameters are validated with two well-known risk measurements currently applied in the field. The proposed methods could lead to practical and fruitful innovations in automated/personalized portfolio management, such as Robo-advising, to augment financial advisors’ decision intelligence in a long-term investment horizon.     

3D,SF and the future

This article assesses the use of ‘science fiction’ (SF) in visioning or prototyping the potential economic and social consequences of so-called 3D printing. What is becoming clear to many commentators as well as science fiction writers is how rapid prototyping, or 3D printing more generally, could permit many final objects to be made near to or even by consumers on just-in-time ‘printing’ machines. This revolution in making would have many implications for the economy-and-society in the future by seriously augmenting, or possibly replacing, current systems of manufactured production, long-distance transportation and consumption. These 3D technologies have featured in SF works, including Neal Stephenson's The Diamond Age, Ian McDonald's Brasyl, Charles Stross's Rule 34 and Cory Doctorow's Makers. The article reports on current research seeking to understand the implications of what may be a major new sociotechnical system in the making. Some creative uses of SF are presented in a professional workshop setting. As well the article documents the use of SF as a methodological prototype in forecasting alternative scenarios of the future. SF prototyping could be a powerful tool in the social science repertoire when put into action in forecasting possible technology and business futures.     

Toward a method for the rapid collection of public concerns and benefits of emerging energy technologies

Abstract

The speed and scale with which new technologies emerge sometimes force decision makers to act without the benefit of thorough risk analyses and environmental and social impact analyses. Insights from interested and affected parties (IAPs) can be tapped to alert decision makers to expected risks and benefits associated with emerging technologies. One of the methodological challenges has been to identify IAPs with relevant knowledge of the emerging technology. Here we show how Facebook’s marketing tool can be employed to reach IAPs with experience and knowledge in a new energy technology and recruit them to a survey instrument. We demonstrate the approach in the context of hydraulic fracturing for oil and gas in the United States. A $200 1-week Facebook ad produced a diverse sample of 379 IAPs from 36 states that identified 41 benefits and 80 risks. This knowledge can be used to steer the direction of analyses for impact assessments. Comparison to a similar study showed a surprising number of differences, suggesting that larger samples are needed.     

The role of managerial risk‐taking in the ‘rise and fall’ of the CDS market

Since the innovation of credit default swaps (CDSs) in 1997, the market for CDSs grew dramatically to $62 trillion in 2007 (ISDA 2010). However, this market declined significantly with the onset of the GFC, prompting the question, ‘What lies behind the phenomenal growth and the eventual collapse of the CDS market?’ Using CDS spread data from 319 bank and non‐bank financial institutions across 33 countries over the period 2001–2010, I provide evidence of the determinants that affect risk‐taking by financial institutions, proxied by CDS spreads, and argue within an agency theoretical framework that managerial risk‐taking contributed to the ‘rise and fall’ of the CDS market.     

Good decisions,bad decisions: the interaction of process and outcome in evaluations of decision quality

Process‐based considerations are generally accepted by experts and analysts as being the fundamental drivers of decision quality. However, little work has been done to account for the role of a risk management decision’s outcome as a key driver of the public judgments about decision quality. To this end, the objective of the research reported here was straightforward to determine – via an experiment – the relative importance of decision‐making process and the associated outcome in lay evaluations of decision quality. Our results demonstrate that people seem to have a difficult time unpacking decision‐making processes, even ones they strongly prefer, from their associated outcomes when evaluating decision quality. From a practical standpoint, our results cast doubt on the generally accepted belief that participatory and deliberative decision‐making processes (e.g., for risk management) will – on their own – contribute to positive evaluations of decision quality.     

Risk as perceived by the German public: pervasive risks and “switching” risks

In 2001, a major project on the perception and evaluation of risks in southern Germany was conducted consisting of survey data as well as of semi‐structured interviews. With reference to the psychometric paradigm, this article analyzes public risk perception, pointing out the perceived risk semantic for nuclear energy, GM‐food, mad cow disease (BSE), crime, global climate change, mobile telephony and its radiation risks. These hazards reveal different patterns of risk perception and different levels of risk acceptability. Secondly, a comparison of qualitative and quantitative findings will be conducted: qualitative analyses indicate that the results of quantitative rating scales on the perception, evaluation and acceptance of technical and environmental hazards might be misleading since the public's focus on risks as elicited by open association stimuli relies much more on ‘everyday‐life’ and ‘pervasive’ risks than for instance on hazards emerging from new technologies. The relevance of technological risks tends to be dependent on the context: If explicitly mentioned in newscasts, in debates or listed in questionnaires memories, fears or other immediate responses become activated, yet they may be forgotten a short time later. We have called this phenomenon “switching effect” and the respective risks “switching risks”. In standardized opinion polls such ‘switching effects’ may evoke firm judgments, even if the importance in the interviewee's mental representation seems marginal.