Duncan, R2020-08-052016-11-23https://hdl.handle.net/10182/12346This paper examines the role of science and predictive modeling in rescaling environmental governance. Drawing theoretical insight from the field of science and technology studies and deploying a critical co-production analytical framework, the paper assembles a discourse of limits, scientific representations of catchment scale diffuse pollution, a 'fast-track' institutional pathway, and identities of scientists and government as knowledge broker and the community as decision-maker. The analysis identifies the paradoxical scripting of 'predictable nature' and 'uncertain nature' and the enrolment of the future as a governance space essential for resolving water resource conflict. The paper illustrates a role for science and modeling well beyond informing and facilitating environmental decision-making to constituting the identities, objects and spaces of governance.24 pagespredictive modellingConference Contribution - unpublished