Prediction as an Impediment to Preparedness: Lessons from the US Hurricane and Earthquake Research Enterprises

No matter one’s wealth or social position, all are subject to the threats of natural hazards. Be it fire, flood, hurricane, earthquake, tornado, or drought, the reality of hazard risk is universal. In response, governments, non-profits, and the private sector all support research to study hazards. Each has a common end in mind: to increase the resilience of vulnerable communities. While this end goal is shared across hazards, the conception of how to get there can diverge considerably. The earthquake and hurricane research endeavors in the US provide an illustrative contrast. The earthquake community sets out to increase resilience through a research process that simultaneously promotes both high quality and usable – preparedness-focused - science. In order to do so, the logic suggests that research must be collaborative, responsive, and transparent. Hurricane research, by contrast, largely promotes high quality science – predictions - alone, and presumes that usability should flow from there. This process is not collaborative, responsive, or transparent. Experience suggests, however, that the latter model – hurricane research - does not prepare communities or decision makers to use the high quality science it has produced when a storm does hit. The predictions are good, but they are not used effectively. Earthquake research, on the other hand, is developed through a collaborative process that equips decision makers to know and use hazards research knowledge as soon as an earthquake hits. The contrast between the two fields suggests that earthquake research is more likely to meet the end goal of resilience than is hurricane research, and thus that communities might be more resilient to hurricanes were the model by which research is funded and conducted to change. The earthquake research experience can provide lessons for this shift. This paper employs the Public Value Mapping (PVM) framework to explore these two divergent public value logics, their end results, and opportunities for improvement.     

The Stakes in Bayh-Dole: Public Values Beyond the Pace of Innovation

Evaluation studies of the Bayh-Dole Act are generally concerned with the pace of innovation or the transgressions to the independence of research. While these concerns are important, I propose here to expand the range of public values considered in assessing Bayh-Dole and formulating future reforms. To this end, I first examine the changes in the terms of the Bayh-Dole debate and the drift in its design. Neoliberal ideas have had a definitive influence on U.S. innovation policy for the last thirty years, including legislation to strengthen patent protection. Moreover, the neoliberal policy agenda is articulated and justified in the interest of “competitiveness.” Rhetorically, this agenda equates competitiveness with economic growth and this with the public interest. Against that backdrop, I use Public Value Failure criteria to show that values such as political equality, transparency, and fairness in the distribution of the benefits of innovation, are worth considering to counter the “policy drift” of Bayh-Dole.     

New Trends at National Exhibition of Fine Arts

<正>Judged by the artist’s painting technique, The Young Couple is far from being the best of hundreds of oil paintings selected from across the country. However, to the surprise of many, The Young Couple     

How Technological Platforms Reconfigure Science-Industry Relations: The Case of Micro- and Nanotechnology

With reference to the recent science studies debate on the nature of science-industry relationship, this article focuses on a novel organizational form: the technological platform. Considering the field of micro- and nanotechnology in Switzerland, it investigates how technological platforms participate in framing science-industry activities. On the basis of a comparative analysis of three technological platforms, it shows that the platforms relate distinctly to academic and to industrial users. It distinguishes three pairs of user models, one model in each pair pertaining to how platforms act toward and conceive of academic users, the other model regarding users from industry. The article then discusses how technological platforms reconfigure the science-economy divide. While the observed platforms provide new institutional contact and interaction between academia and industry, new research collaboration does not necessarily materialize in practice. In this respect, science-industry mediation by way of technological platforms does not make science-industry boundaries more porous. Instead, the declared openness of public research with respect to industry, in the case of technological platforms, may contribute to maintain public science’s autonomy.     

A Fish out of Water? Management Consultants in Academia

What happens when management consultants enter the academic arena and offer their services to universities? In the following article, we examine this question by drawing on findings from a qualitative study based on a series of 30 interviews with senior management consultants and academic managers in Germany. The aim of this explorative study is, first of all, to provide theoretically informed observations about the working mechanisms of management consulting in academia. A second, and related objective, is to contribute to the ongoing debate on the changing nature, role, and implications of managerial expertise and authority in higher education institutions. We begin our study by providing an overview of the literature on the changing nature of university management. Although these studies show a shift in the power constellation of universities from professional to managerial authority, we argue that they remain suspiciously vague as concerns the way academics and managers actually deal with this conflicting situation. By drawing on the insights of consulting studies, we then explore the stakes of consultancy in academic change projects and determine the analytical factors that will guide our qualitative analysis. Finally, we present and discuss the findings before concluding with more general remarks on the nature of academic management in German universities.     

Mediating Science and Society in the EU and UK: From Information-Transmission to Deliberative Democracy?

In this paper we critically review recent developments in policies, practices and philosophies pertaining to the mediation between science and the public within the EU and the UK, focusing in particular on the current paradigm of Public Understanding of Science and Technology (PEST) which seeks to depart from the science information-transmission associated with previous paradigms, and enact a deliberative democracy model. We first outline the features of the current crisis in democracy and discuss deliberative democracy as a response to this crisis. We then map out and critically review the broad outlines of recent policy developments in public-science mediation in the EU and UK contexts, focusing on the shift towards the deliberative-democratic model. We conclude with some critical thoughts on the complex interrelationships between democracy, equality, science and informal pedagogies in public-science mediations. We argue that science and democracy operate within distinct value-spheres that are not necessarily consonant with each other. We also problematize the now common dismissal of information-transmission of science as inimical to democratic engagement, and argue for a reassessment of the role and importance of informal science learning for the “lay” public, provided within the framework of a deliberative democracy that is not reducible to consensus building or the mere expression of opinions rooted in social and cultural givens. This, we argue, can be delivered by a model of PEST that is creative and experimental, with both educational and democratic functions.     

Virology Experts in the Boundary Zone Between Science,Policy and the Public: A Biographical Analysis

This article aims to open up the biographical black box of three experts working in the boundary zone between science, policy and public debate. A biographical-narrative approach is used to analyse the roles played by the virologists Albert Osterhaus, Roel Coutinho and Jaap Goudsmit in policy and public debate. These figures were among the few leading virologists visibly active in the Netherlands during the revival of infectious diseases in the 1980s. Osterhaus and Coutinho in particular are still the key figures today, as demonstrated during the outbreak of novel influenza A (H1N1). This article studies the various political and communicative challenges and dilemmas encountered by these three virologists, and discusses the way in which, strategically or not, they handled those challenges and dilemmas during the various stages of the field’s recent history. Important in this respect is their pursuit of a public role that is both effective and credible. We will conclude with a reflection on the H1N1 pandemic, and the historical and biographical ties between emerging governance arrangements and the experts involved in the development of such arrangements.     

Normal Accidents of Expertise

Charles Perrow used the term “normal accidents” to characterize a type of catastrophic failure that resulted when complex, tightly coupled production systems encountered a certain kind of anomalous event. These were events in which systems failures interacted with one another in a way that could not be anticipated, and could not be easily understood and corrected. Systems of the production of expert knowledge are increasingly becoming tightly coupled. Unlike classical science, which operated with a long time horizon, many current forms of expert knowledge are directed at immediate solutions to complex problems. These are prone to breakdowns like the kind discussed by Perrow. The example of the Homestake mine experiment shows that even in modern physics complex systems can produce knowledge failures that last for decades. The concept of knowledge risk is introduced, and used to characterize the risk of failure in such systems of knowledge production.