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The COVID-19 pandemic has been a data-political spectacle. Data are omnipresent in prediction and surveillance, and even in resistance to governmental measures. How have citizens, whose lives were suddenly governed by pandemic data, understood and reacted to the pandemic as a data-political phenomenon? Based on a study carried out in Denmark, we show how society became divided into those viewing themselves as supporters of the governmental approach to the COVID-19 pandemic, and those who oppose it. These groups seem to subscribe to very different truths. We argue, however, that both sides share a positivist ideal and think that data and facts ought to rule. Both sides have also come to acknowledge that data are not unambiguous, and both cast increasing doubts on political uses of data. Though the people agreeing with, and the people opposing, the government strategy are in many ways surprisingly similar with respect to epistemic norms, they differ in what they perceive as dangerous or desirable, and in who they believe are telling the "truth" about the pandemic. These different perceptions result in different types of pandemic-related activism. Resistance against restrictions is often understood as inspired by conspiracy theories and in some countries anti-restrictions activism has turned violent. In our case, however, we suggest that when looking at similarities and differences across both groups, the gap between those opposing and those agreeing with the government approach is not as unbridgeable as might be suggested by their beliefs in differing truths and the emerging societal division.

Technology assessment (TA) is a paradigmatic case for the manifold and, at times, ambiguous processes of identity formation of researchers in inter- and transdisciplinary settings. TA combines the natural, technical, and social sciences and follows the multiple missions of scientific analysis, public outreach, and policy advice. However, despite this diversity, it also constitutes a genuine community with its own discourses, conferences, and publications. To which extent "being a TA practitioner" also provides for a genuine scholarly identity is still unclear. Building on interviews with technology assessment practitioners at an academic TA institute, we ask what inter/trans/disciplinary identification patterns emerge in this field. Our analysis shows that TA practitioners adopt multiple identities, from "enthusiastic TA practitioner" to "strong interdisciplinarian" or "disciplinarian" - with distinct identity troubles inherent in all these options. We find that generational affiliation plays a vital role in identity formation. It relates to different primary orientations (towards research or advisory practices), inter/disciplinary backgrounds, contracting modes, and lengths of time spent at the TA institute. We conclude firstly, that disciplinary categories figure strongly in transdisciplinary identities; secondly, that the relation of chronos and identity warrants more substantial consideration: as time spent at a transdisciplinary institute as or as perceived options for "futuring one's identity"; thirdly, that our understanding of academic generations could profit from a more sociological conception; and, fourthly, that TA's multidisciplinary setup and threefold orientation towards science, society, and policy result in multiplying possible identities and thus making it difficult to form a stable community.

The present work looks at what we call "the multiverse of quantification", where visible and invisible numbers permeate all aspects and venues of life. We review the contributions of different authors who focus on the roles of quantification in society, with the aim of capturing different and sometimes separate voices. Several scholars, including economists, jurists, philosophers, sociologists, communication and data scientists, express concerns or identify critical areas of our relationship with new technologies of 'numericization'. While mindful of the important specificities of the different families of quantification, we use our broad and holistic canvas to explore possible spaces for a more systematic investigation of incumbent and novel quantifications, as to increase communication among disciplinary communities, and among these and society, in the pursuit a democratic agency and self-defence.

In recent years, we have been observing the phenomenon of an emerging scientific field: digital transformation research (DTR). Due to the diversity and complexity of its object of research digital, transformation is not effectively researchable if confined to the boundaries of individual disciplines. In the light of Scientific/Intellectual Movement theory (Frickel and Gross 2005), we wonder how interdisciplinarity could and should be mobilized to further advance the development of the field of DTR. To answer this question, we (a) need to understand how interdisciplinarity is conceived and (b) how it is considered in research practice by researchers in the emerging field. This is important, as scientists' application of interdisciplinarity will highly influence an emerging field, shape its growth, consolidation as well as its academic establishment. We conducted six group discussions with 26 researchers from different disciplines and career levels (PhD students, postdocs, professors). The discussions were studied with a structuring qualitative content analysis. The results reflect the vagueness of the concept of interdisciplinarity. Interdisciplinarity is largely conceived as multidisciplinarity. Further, the interviewees mentioned more challenges than opportunities when it comes to interdisciplinary DTR. The present study widens the scientific understanding about how researchers of different career levels perceive, learn, and practice interdisciplinarity in DTR. It further provides valuable indications of how interdisciplinary research in an emerging field can be profitably shaped for practice.

Academic entrepreneurship and the commercialization of science have transformed higher education in recent decades. Although there is ample research on the topic, less is known about how individual scientists experience and perceive the transformation. Drawing on a narratological approach to sensemaking, this study examines how entrepreneurial scientists in Finland and Israel make sense of and narrate the perceived changes in the interface between science, university, and industry. An analysis of 53 semi-structured interviews reveals three sensemaking narratives demonstrating how scientists' interactions with the industry have engendered perceived shifts in 'regimes of value' in universities. These narratives focus on: (1) bi-directional learning between academy and industry; (2) the use of new valuation devices and practices; and (3) changing relationships between scientists and universities. Our findings advance research on academic entrepreneurship by highlighting the coexisting regimes of value and the consequences they have for science, value, and power.