David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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Poiesis and Praxis 7 (4):249-274 (2011)
Among others, the term problem plays a major role in the various attempts to characterize interdisciplinarity or transdisciplinarity, as used synonymously in this paper. Interdisciplinarity is regarded as problem solving among science, technology and society and as problem orientation beyond disciplinary constraints. The point of departure of this paper is that the discourse and practice of ID have problems with the problem. The objective here is to shed some light on the vague notion of problem in order to advocate a specific type of interdisciplinarity: problem-oriented interdisciplinarity. The outline is as follows: Taking an ex negativo approach, I will show what problem-oriented ID does not mean. Using references to well-established distinctions in philosophy of science, I will show three other types of ID that should not be placed under the umbrella term problem-oriented ID : object-oriented ID, theory-oriented ID, and method-oriented ID. Different philosophical thought traditions can be related to these distinguishable meanings. I will then clarify the notion of problem by looking at three systematic elements: an undesired state, a desired state, and the barriers in getting from the one to the other. These three elements include three related kinds of knowledge: systems, target, and transformation knowledge. This paper elaborates further methodological and epistemological elements of problem-oriented ID. It concludes by stressing that problem-oriented ID is the most needed as well as the most challenging type of ID
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References found in this work BETA
Ian Hacking (1983). Representing and Intervening: Introductory Topics in the Philosophy of Natural Science. Cambridge University Press.
Michael Gibbons (ed.) (1994). The New Production of Knowledge: The Dynamics of Science and Research in Contemporary Societies. Sage Publications.
Bryan G. Norton (2005). Sustainability : A Philosophy of Adaptive Ecosystem Management. University of Chicago Press.
Jürgen Habermas (2008). Erkenntnis Und Interesse. Felix Meiner Verlag Gmbh.
C. E. Harris, Michael S. Pritchard & Michael J. Rabins (1995). Engineering Ethics Concepts and Cases. Monograph Collection (Matt - Pseudo).
Citations of this work BETA
Michael H. G. Hoffmann, Jan C. Schmidt & Nancy J. Nersessian (2013). Philosophy of and as Interdisciplinarity. Synthese 190 (11):1857-1864.
Michael Hg Hoffmann, Jan C. Schmidt & Nancy J. Nersessian (2013). Philosophy of and as Interdisciplinarity. Synthese 190 (11):1857-1864.
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