In this article I set out to trace some of the implications of recharging the political potency of nature in more-than-human terms. This shifts attention from a biopolitical focus on the inventiveness of the life sciences and what this means in terms of the emergence of ‘cyborg’ political subjects to an onto-political focus on the inventiveness of knowledge controversies and what these mean for techno-political practices. Specifically, the article examines the onto-politics of ‘natural’ hazard events and their capacity to force (...) thought in those affected by them, and so to place new demands on research practices in terms of rendering such events affective and amenable to political interrogation. I work these arguments through the demanding experimental ethos of the philosopher Isabelle Stengers, for whom scientific practices produce reliable knowledge claims only in so far as the questions they address are at risk of being redefined by the phenomena mobilized in them, and who extends this ethos to elaborate an understanding of, even a test for, an adequate political theory and practice. I do so with reference to a recent research experiment in which I collaborated with social and natural scientists and people affected by flooding in the UK. (shrink)

ArgumentThis paper challenges three assumptions common in the literature on expertise: that expertise is linearly derived from scientific knowledge; that experts always align with the established institutional order; and that expertise is a property acquired by individuals. We criticize these ideas by juxtaposing three distinct expert practices involved with flood risk management in England. Virtual engineering is associated with commercial consultancy and relies on standardized software packages to assess local flood inundation. Mathematical experimentation refers to academic scientists creating new digital (...) renderings of the physical dynamics of flooding. Participatory modeling denotes research projects that aim to transform the relationships between experts and local communities. Focusing on different modes of modeling we contribute an analysis of how particular models articulate with specific politics of knowledge as experts form relationships with flood risk management actors. Our empirical study also shows how models can contribute to re-distribution of expertise in local flood risk management. (shrink)

It has been convincingly argued that computer simulation modeling differs from traditional science. If we understand simulation modeling as a new way of doing science, the manner in which scientists learn about the world through models must also be considered differently. This article examines how researchers learn about environmental processes through computer simulation modeling. Suggesting a conceptual framework anchored in a performative philosophical approach, we examine two modeling projects undertaken by research teams in England, both aiming to inform flood risk (...) management. One of the modeling teams operated in the research wing of a consultancy firm, the other were university scientists taking part in an interdisciplinary project experimenting with public engagement. We found that in the first context the use of standardized software was critical to the process of improvisation, the obstacles emerging in the process concerned data and were resolved through exploiting affordances for generating, organizing, and combining scientific information in new ways. In the second context, an environmental competency group, obstacles were related to the computer program and affordances emerged in the combination of experience-based knowledge with the scientists’ skill enabling a reconfiguration of the mathematical structure of the model, allowing the group to learn about local flooding. (shrink)