This paper explores the implications of conceptual entropy in interdisciplinary collaboration, examining perspectives from philosophy and contemporary social science. Conceptual entropy, the degree of disorder in a conceptual system, is analyzed from the viewpoints of those advocating for reducing ambiguity to achieve scientific precision, as well as those advocating for embracing ambiguity to reflect real-world complexity. We aim to demonstrate the need for conceptual clarity and thereby criticize deliberate conceptual vagueness. Semantic vagueness may arise due to fuzzy ontological mechanisms guarding (...) the relevant object domain. However, vagueness may also result from the unwarranted use of metaphors. We address the risk of precision loss in interdisciplinary teams by proposing a framework for studying conceptual entropy. On this basis, we argue that ‘conceptual entropy’ is useful for reflecting on how unclear, messy, and ambivalent concepts and conceptual systems may lead to an accelerating state of semantic disorder and vagueness. (shrink)

In this paper, I present a philosophical analysis of interdisciplinary scientific activities. I suggest that it is a fruitful approach to view interdisciplinarity in light of the recent literature on scientific representations. For this purpose I develop a meta-representational model in which interdisciplinarity is viewed in part as a process of integrating distinct scientific representational approaches. The analysis suggests that present methods for the evaluation of interdisciplinary projects places too much emphasis non-epistemic aspects of disciplinary integrations while more or less (...) ignoring whether specific interdisciplinary collaborations puts us in a better, or worse, epistemic position. This leads to the conclusion that there are very good reasons for recommending a more cautious, systematic, and stringent approach to the development, evaluation, and execution of interdisciplinary science. (shrink)