Authors
Michiru Nagatsu
University of Helsinki
Miles MacLeod
University of Twente
Abstract
In this paper we take a close look at current interdisciplinary modeling practices in the environmental sciences, and suggest that closer attention needs to be paid to the nature of scientific practices when investigating and planning interdisciplinarity. While interdisciplinarity is often portrayed as a medium of novel and transformative methodological work, current modeling strategies in the environmental sciences are conservative, avoiding methodological conflict, while confining interdisciplinary interactions to a relatively small set of pre-existing modeling frameworks and strategies (a process we call crystallization). We argue that such practices can be rationalized as responses in part to cognitive constraints which restrict interdisciplinary work. We identify four salient integrative modeling strategies in environmental sciences, and argue that this crystallization, while contradicting somewhat the novel goals many have for interdisciplinarity, makes sense when considered in the light of common disciplinary practices and cognitive constraints. These results provide cause to rethink in more concrete methodological terms what interdisciplinarity amounts to, and what kinds of interdisciplinarity are obtainable in the environmental sciences and elsewhere.
Keywords Interdisciplinarity  environmental sciences  economics and ecology  model coupling  model template
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DOI 10.1016/j.shpsa.2018.01.001
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Putting multidisciplinarity (back) on the map.Julie Mennes - 2020 - European Journal for Philosophy of Science 10 (2):1-23.
Interdisciplinarity in Historical Perspective.Mitchell G. Ash - 2019 - Perspectives on Science 27 (4):619-642.
Research Problems.Steve Elliott - 2021 - British Journal for the Philosophy of Science 72 (4):1013-1037.

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