Abstract“Hypernormal science” has minimal potential for contestation on matters of principle and practice so that information exchange can be unproblematic. Sciences comprise hypernormal domains and more contestable “normal” domains where knowledge diffusion, like acquiring linguistic fluency, depends on face-to-face interaction. Hypernormal domains belonging to molecular biology are contrasted with normal domains in gravitational wave detection physics. Sciences as a whole should not be confused with their typical domains. The analysis has immediate implications for proposed transitions out of the Covid-19 lockdown, (...) proposed solutions to the replication crisis, and, perhaps, our understanding of the early development of social studies of science. (shrink)

While interdisciplinarity is not a new concept, the political and discursive mobilisation of interdisciplinarity is. Since the 1990s, this movement has intensified, and this has affected central funding bodies so that interdisciplinarity is now a de facto requirement in successful grant application. As a result, the literature is ripe with definitions, taxonomies, discussions and other attempts to grasp and define the concept of interdisciplinarity. In this paper, we explore how strategic demands for interdisciplinarity meet, interact with and change local research (...) practices and results of higher education and research. Our aim is to question and trace the consequences of applying the slippery and difficult term interdisciplinarity in research. The paper is based on ethnographic fieldwork in a Danish interdisciplinary research programme, where we observed and analysed practices of writing, publishing, collaboration and educational development in five different research projects. We show how the call for interdisciplinarity was mobilised in a way that rendered the incentives and motives behind the programme unclear. Furthermore, we argue that the absence of clear definitions and assessment criteria produced a dominant, all-inclusive, but vague, configuration of interdisciplinarity that affected the research outcome, and ultimately, promoted and reproduced the existing monodisciplinary research and power structures. (shrink)

This paper argues that analyses of the ways in which Big Data has been enacted in other academic disciplines can provide us with concepts that will help understand the application of Big Data to social questions. We use examples drawn from our Science and Technology Studies analyses of -omic biology and high energy physics to demonstrate the utility of three theoretical concepts: primary and secondary inscriptions, crafted and found data, and the locus of legitimate interpretation. These help us to show (...) how the histories, organisational forms, and power dynamics of a field lead to different enactments of big data. The paper suggests that these concepts can be used to help us to understand the ways in which Big Data is being enacted in the domain of the social sciences, and to outline in general terms the ways in which this enactment might be different to that which we have observed in the ‘hard’ sciences. We contend that the locus of legitimate interpretation of Big Data biology and physics is tightly delineated, found within the disciplinary institutions and cultures of these disciplines. We suggest that when using Big Data to make knowledge claims about ‘the social’ the locus of legitimate interpretation is more diffuse, with knowledge claims that are treated as being credible made from other disciplines, or even by those outside academia entirely. (shrink)