Johannes Persson

Interdisciplinary research in the fields of forestry and sustainability studies often encounters seemingly incompatible ontological assumptions deriving from natural and social sciences. The perceived incompatibilities might emerge from the epistemological and ontological claims of the theories or models directly employed in the interdisciplinary collaboration, or they might be created by other epistemological and ontological assumptions that these interdisciplinary researchers find no reason to question. In this paper we discuss the benefits and risks of two possible approaches, Popperian optimism and Kuhnian pessimism, to interdisciplinary knowledge integration where epistemological and ontological differences between the sciences involved can be expected.

The calls for evidence-based public policy making have increased dramatically in the last decades, and so has the interest in evidence-based sustainability studies. But questions remain about what “evidence” actually means in different contexts and if the concept travels well between different domains of application. Some of the most relevant questions asked by sustainability studies are not, and in some cases cannot be, directly answered by relying on research evidence of the kinds favored by the evidence-based movement. Therefore, sustainability studies must also harness other forms of knowledge, based on forms of practical experience. How to integrate these two sources of knowledge is one of the most fundamental epistemological and practical problems society is facing. Identifying what kind of practical experience and research evidence we need to integrate is another challenging question. We draw on examples from our research in the Global South and suggest an efficient principle, problem-feeding, for harnessing practical experience within an adapted version of evidence-based sustainability studies.

Philosophers of science have in recent years become increasingly interested in the notion of interdisciplinarity. One important form interdisciplinarity can take is that of a dynamic exchange of problems and solutions between disciplines—what has recently been called problem-feeding. On this model problems arising within specific disciplines are sometimes solved more effectively by, or in collaboration with, other disciplines. In this paper we explore this model as a framework for thinking about, and actively structuring, interdisciplinary research. We point to the applicability of the problem-feeding model, and to some of the prerequisites of problem-feeding interdisciplinarity, highlighting in particular the harmonisation of goals and the establishment of mutual trust between disciplines.

Kimberly Chuang’s detailed and very helpful reply to my article concerns Jon Elster’s struggle to develop a mechanistic account that sheds light on explanation in social science. I argue that a problem exists with Elster’s current conception of mechanistic explanation in social contexts. Chuang defends Elster’s conception against my critique. I still believe I have identified a problem with Elster’s conception. In this reply I want to recapitulate briefly Elster’s idea, as I understand it, and then use some of Chuang’s critical points to advance the position I advocate.