This paper aims to contribute to the expanding discourse on inter- and transdisciplinarity. Referring to well-established distinctions in philosophy of science, the paper argues in favor of a plurality of four different dimensions: Interdisciplinarity with regard to objects, knowledge/theories, methods/practices, and further, problem perception/problem solving. Different philosophical thought traditions can be related to these distinguishable meanings. The philosophical framework of the four different dimensions will be illustrated by some of the most popular examples of research programs that are labeled interdisciplinary (...) : nanoresearch/nanoscience/nanotechnology, complex systems theory/chaos theory, biomimicry/bionics, and technology assessment/sustainability research. Thus, a minimal philosophy of science is required to understand and foster inter- and transdisciplinarity. (shrink)

The relationship between statistical mechanics and population genetics has a long history. Both take advantage of statistics to address the behavior of large groups of entities. The main objective of this article is to assess the obstacles population genetics is meeting in its claim to explain biological phenomena from the conceptual apparatus of statistical mechanics according to two recent articles. Several tools available to the latter are missing in the former. Thus, in the absence of an adequate justification of the (...) relevance of the analogy and without the satisfaction of certain basic assumptions, I argue that the explanatory strategy of the analogously based model is seriously compromised. La relation entre mécanique statistique et génétique des populations a une longue histoire. À l’instar de la première, la seconde tire profit des statistiques afin de traiter le comportement des grands ensembles d’entités. L’objectif principal du présent article est d’identifier les obstacles que rencontre la génétique des populations dans sa prétention d’explication des phénomènes biologiques à partir de l’appareillage conceptuel de la mécanique statistique selon deux articles récents. Or, plusieurs outils dont dispose cette dernière manque à la première. Ainsi, en l’absence d’une justification adéquate de la pertinence de l’analogie et sans la satisfaction de certaines hypothèses fondamentales, je soutiens que la stratégie explicative du modèle analogue est sérieusement compromise. (shrink)