We use the term “Zoomification” to refer to the primary mode of research collaboration used by academic researchers during much of the COVID-19 pandemic. While neither video-enabled technology or remote collaboration is new, the technology developments and needs that occurred during the pandemic proved exceptional, indeed a step-change in approaches to research collaboration. This study, based on in-depth interviews with 65 tenured and tenure track professors in dozens of United States universities in a wide variety of STEM disciplines, focuses on (...) collegial effects of Zoomification on research collaboration, including research with graduate students. We find diverse impacts according to career status, with younger faculty and doctoral students faring least well with an absence of face-to-face communication. As expected, impacts vary according to the nature of work, including the need to work in the field, reliance on laboratory equipment, laboratory animals, samples and high cost, centralized equipment. The effects of remote collaboration are to some extent predictable but there are results that point toward realignment in some of the ways research collaboration is established and maintained. We conclude with speculations about the long-range implications of Zoomification of research collaboration. (shrink)

Until the recent spread of public-private partnerships, pharmaceutical firms had avoided research and development into neglected tropical diseases (NTDs). Because these are diseases that affect the poorest populations in developing regions, research and development initiatives have for the most part depended on the resources and expertise drawn from academia, international organizations, and intermittent state interventions in disease-endemic countries. Over the last few decades, however, public-private product development partnerships (PDPs) have been introducing new collaborative agreements in which the existing resources and (...) expertise combine with the those traditionally withheld by the pharmaceutical industry and global health NGOs. This paper explores recent transformations in the representation of NTDs by examining the shifting logic and spaces of knowledge production which the advent of PDPs has enabled. An analysis of two case studies focused on Chagas disease-related initiatives addresses recurring preoccupations in Science, Technology and Society studies as well as in critical analyses of PDPs: that is, the back-and-forth movement of the disease from being an object of scientific inquiry to a public health concern, and the legitimacy risks and material asymmetries entailed in global health PDPs. Both cases show that it is major global health stakeholders and experts in non-endemic countries, rather than transnational pharmaceutical firms, that exert the greatest influence upon these changing representations: PDPs attempt to expand the preexisting biomedical focus on NTDs by means of incorporating “real world” drug development preoccupations (which I term epistemic shifts), but they also combine their stated global humanitarian aim with security concerns about the diseases spreading to non-endemic, industrialized countries (which I term geographical shifts). (shrink)

Public research organizations respond to external pressures from national research evaluation systems, performance-based funding systems and university rankings by translating them into internal goals, rules and regulations and by developing organizational identities, profiles and missions. Organizational responses have primarily been studied at the central organizational level, and research on the steering of research has primarily focused on the impacts of performance-based funding systems. However, research evaluation exercises may also have a formative impact, especially below the central organizational level. This paper (...) uses a case study of a research unit of a biomedical research school in the Netherlands to explore the organizational response to a relatively critical external assessment report. It shows that the participation in the Dutch research evaluation cycle legitimated the formation of a new organizational identity for the research unit, which functions as a frame that suggests to staff members a new interpretation of the type of research that is at the core of what the research unit does. We identify three additional steering mechanisms that support the enactment of the organizational identity: steering by resource allocation, by suggesting and by re-organizing. We, furthermore, explore the epistemic effects – the direction and conduct of research – of the organizational response, through interview data in combination with a bibliometric analysis. (shrink)

Higher education institutes both foster the advancement of knowledge and address society's socioeconomic and environmental challenges. To fulfil these multiple missions requires significant changes to how the role of a researcher is perceived e.g. a researcher identity that is congruent with the objective of contributing to fundamental knowledge while also engaging with non-academic actors, broadly, and entrepreneurship, in particular. We argue that the early stages of an academic career—namely the PhD training trajectory—and the knowledge networks formed during this period have (...) a major influence on the scientist’s future capacity to develop an appropriate researcher role identity. We draw on knowledge network and identity theories to investigate how the knowledge networks (i.e. business, scientific and career knowledge networks) of PhD students promote changes to, reinforce or conflict with the perception of a researcher role identity. Our longitudinal qualitative network study includes PhD students and their supervisors funded by the H2020 FINESSE project. At the network level, we show that scientific knowledge is distributed equally throughout young academics’ networks but that entrepreneurial (business) and career knowledge tend to be concentrated around certain individuals in these networks. On the PhD student level, we observe different pronunciations of the researcher role identity linked to students’ interactions with their knowledge networks. We distinguish identity conflicts due to misalignment between ego and alters which leads to withdrawal from the network. Our findings have practical implications and suggest that universities and PhD student supervisors should support PhD students to develop a researcher identity which is in line with the individual PhD student’s expectations. (shrink)

Many Big Science projects and networks experience conflict. A plethora of disciplines have examined conflict causes in science collaboration and Big Science, contributing to a more nuanced understanding of why conflicts emerge. Yet, so far, there is no theoretical model that explains which mechanisms connect conflict cause and outbreak in Big Science. Drawing on interdisciplinary literature on science collaboration and Big Science as well as on scholarship on strategic action fields (SAFs), I address this blind spot by proposing a model (...) that outlines which mechanisms induce and fuel conflict in Big Science projects and networks. Five interlinked mechanisms – attribution of threat or opportunity, mobilization of resources, coalition-building, boundary deactivation and innovative action – are central to it. Tracing these mechanisms in conflictual episodes which emerged in three typical, yet most-different, Big Science cases – the International Experimental Thermonuclear Reactor (ITER), the Human Brain Project (HBP) and the Thirty Meter Telescope (TMT) – this study also provides a proof of concept for the model. (shrink)

In this article, we examine the ways in which the notion of interdisciplinarity was understood, implemented and experienced by researchers at a government-funded Chilean climate research centre. Our multi-site ethnography, consisting of interviews, participant observations, and document analysis, was motivated by three key aims. First, to generate an inductive, multi-faceted picture of the lived meaning of “interdisciplina” at the Centre; second, to explore whether and to what extent the “peripheral” features of the research context would exacerbate the challenges associated with (...) practicing interdisciplinarity, and third, to see whether frictions between disciplines at the Centre could be considered productive “dissonances” in Stark’s sense of the term. We found that despite the centre efforts to produce a common framework to regulate interdisciplinary research, its researchers nevertheless understood, enacted and experienced it in diverse ways. More specifically, we found that researcher´s conceptions of interdisciplinarity were coloured by their lived experiences of attempting to practice it, and in particular by the benefits and costs they associated with doing so. This in turn was linked to several variables, including the specific balance between disciplines, the absence or presence of shared, clearly-defined goals, the affirmation of a common research ethic or motivational commitment, and the structural-material conditions of the research in question. We also found that the research conditions characteristic of the Global South do tend to exacerbate the well-documented challenges associated with interdisciplinarity, yet that the adversities associated with precarious conditions were often met by increased resilience and bonding among researchers, who use creative and collaborative strategies to adapt to adversity. (shrink)

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. (shrink)

By analyzing the discussion on a health forum, we examine how wearing sanitary masks during the Covid-19 pandemic changed people’s lives and what adjustments were required. During our review, we encountered theories referred to by participants as “conspiracy theories” that led to heated exchanges on the forum. Surprisingly, these interactions promoted, rather than prevented, collective exploration and resulted in a rich discussion of the issues related to wearing masks. Using a combination of quantitative and qualitative methods, we first analyze the (...) dynamics of the discussion, its progression, and the conditions under which it was maintained over time, even given the radical expression of irreconcilable positions. Second, we examine the results of the discussion in terms of describing the problems triggered by the mask and the different authorities on which these descriptions were based. We conclude that the boundaries between science and non-science were occasionally blurred because of the wavering of scientific authorities and the uncertainty of the questions related to the pandemic, rather than because of a generalized distrust of science. We recognize that paradoxically, “conspiracist” theories contribute to the production of knowledge and that the adherence to these theories may stem more from the personal experiences of the individuals who profess them, rather than from the contaminating power of conspiracy theories. (shrink)

The paper argues that one of the reasons the suppression of scientific dissent during the Covid pandemic has been so severe was because the dominant scientific Covid narrative has been turned into a political myth, i.e. a narrative mobilizing groups in support of key moral values. Taking the example of Covid vaccination, I show the key values with which it became linked in Czechia. Questioning vaccination came to be seen as endangering these values, which made scientific dissent appear as particularly (...) dangerous. I further analyse how this schematic discourse dealt with “free-vax” scientists, who were not against Covid vaccination as such but only against its blanket application. I show that their discreditation was mainly carried out by various fact-checking NGOs or social media influencers, who attempted to delegitimize them not by scientific arguments but rather by associating them with more dubious groups of social actors, or labelling their views as “disinformation”. This discrediting strategy was largely successful, but it also had some undesirable social and political backfire effects, in that it pushed some of the free-vaxxers out of the liberal democratic mainstream and forced them to seek alliance with more anti-systemic segments of the population in attempts at political resistance. (shrink)

This paper examines the trust relations involved in Israel’s COVID-19 vaccination campaign, focusing on vaccine hesitancy and the concept of ‘trust’. The first section offers a conceptual analysis of ‘trust’. Instead of analyzing trust in the vaccination campaign as a whole, a few objects of trust are identified and examined. In section two, the Israeli vaccination campaign is presented, and the focus is placed on vaccine hesitancy. In section three, different trust relations are examined: public trust in the Israeli government (...) and health institutions, interpersonal trust in healthcare professionals and experts, trust in the pharmaceutical companies that make the COVID-19 vaccine, the US FDA, and trust in the new vaccine and the new technology. Through this complexity of trust relations, I argue that it is impossible to completely separate the trust that the vaccine is safe and effective from social aspects of mistrust. Additionally, practices of silencing and censoring the concerns of vaccine hesitaters – both experts and among the public, are pointed out. I contend that these cases further minimize vaccine hesitaters' trust in vaccine-related entities. In contrast, in section four, I suggest the ‘trust-based approach’: since vaccine hesitancy is not solely the result of knowledge deficiency but also a lack of trust relations, any campaign that addresses vaccine hesitancy should also focus on trust. The advantages of this approach are spelled out. For governments, a discussion based on trust is, ultimately, the best democratic way to encourage hesitaters to take the plunge and get vaccinated. (shrink)

Ever since the start of the Corona pandemic, different and often conflicting views have emerged about the virus and how to appropriately deal with it. Such epistemic, societal, and economic criticisms, including those about government imposed measures, have often been dismissed as dangerous forms of conspiratorial disinformation that should be (and have been) excluded from the realm of reasonable political discussion. However, since these critiques of emerging hegemonic knowledge and policies often involve significant and complex questioning of epistemic and political (...) claims, and since corresponding plausibilities change over time, such clear distinctions between correct knowledge and foolish, fraudulent, and/or dangerous, disinformation are not easy to draw. In fact, they can be considered political acts in these epistemic disputes over the pandemic. These conflicts, which we refer to as the “Corona Truth Wars,” are not just about knowledge, but have turned into societal conflicts and even outright identity wars that run through families, circles of friends, organizations, and entire societies. In this special issue, we illuminate these dynamics by bringing together a range of scholars who have been struck by the complexity of these controversies and their far-reaching social consequences. Far from understanding these controversies as simple dichotomies between truth and disinformation, or between disinterested science and manipulative politics, these scholars are interested in the various ways in which these dimensions are intertwined. Building on a long tradition of exploring (scientific) knowledge controversies, the six contributions to this special issue show how epistemic struggles over truth are not only fought in the realm of science, but increasingly manifest and interact in everyday politics, social media platforms, daily talk shows, and family dinners. The scholars brought together in this issue, with diverse disciplinary backgrounds and from different geographical regions (Denmark, France, Germany, the Czech Republic, and Israel), present their studies on the various epistemic and social conflicts that have emerged during the Corona pandemic of the last three years. (shrink)

Based on anthropological fieldwork among protesters against the Covid policy in Germany, this paper elaborates the symmetry of accusations made against each other by proponents and opponents of the state-imposed protection measures against the backdrop of an asymmetrical distribution of power. The social dynamics that emerged during the pandemic are often understood as the result of a knowledge controversy that most participants thus categorize as a media problem. A key finding of my research on protests against the German Covid policy (...) is that, as in my research on the controversy over mediumism, the controversy is about the agency of human and nonhuman actors and carried out to a great extent based on the same values on both sides, which at the same time accuse each other of not conforming to these values. The protesters are part of a heterogeneous minority that in large parts embodies the values of the majority and, in a way, exceeds them, i.e., a minority that is hypercritical and has extreme expectations about the values of the majority society – in this case: of solidarity, science, transparency, rationality, and coherence. From its marginal position, the minority develops a canny eye for the unfulfilled promises of the majority: its contradictions and conscious or unconscious double standards are perceived as bigotry against the backdrop of the aspiration to absence of contradiction. Therefore, this minority suspects that the motivations and goals behind the measures taken are other than just the protection of health, while the majority in turn see the minority’s commitment to society and democracy as (self-)deception and also suspect hidden motives and actors behind it. This mutual suspicion leads to a hysterical state of doubt and distrust, which is rooted in the nature of mediality. (shrink)

Although the topic of data-sharing has boomed in the past few years, practices of datasharing have attracted only scant attention within working groups and scientific cooperation (peer-to-peer data-sharing). To understand these practices, the author draws on Max Weber’s concept of social relationship, conceptualizing data-sharing as social action that takes place within a social relationship. The empirical material consists of interviews with 34 researchers representing five disciplines—linguistics, biology, psychology, computer sciences, and neurosciences. The analysis identifies three social forms of data-sharing in (...) peer-to-peer relationships: (a) closed communal sharing, which is based on a feeling of belonging together; (b) closed associative sharing, in which the participants act on the basis of an agreement; and (c) open associative sharing, which is oriented to “institutional imperatives” (Merton) and to formal regulations. The study shows that far more data-sharing is occurring in scientific practice than seems to be apparent from a concept of open data alone. If the main goal of open-data policy programs is to encourage researchers to increase access to their data, it could be instructive to study the three forms of data-sharing to improve the understanding of why and how scientists make their data accessible to other researchers. (shrink)

Biodiversity informatics produces global biodiversity knowledge through the collection and analysis of biodiversity data using informatics techniques. To do so, biodiversity informatics relies upon data accrual, standardization, transferability, openness, and “invisible” infrastructure. What biodiversity informatics mean to society, however, cannot be adequately understood without recognizing what organizes biodiversity data. Using insights from science and technology studies, we story the organizing “visions” behind the growth of biodiversity informatics infrastructures in Sweden—an early adopter of digital technologies and significant contributor to global biodiversity (...) data—through interviews, scientific literature, governmental reports and popular publications. This case story discloses the organizational formation of Swedish biodiversity informatics infrastructures from the 1970s to the present day, illustrating how situated perspectives or “visions” shaped the philosophies, directions and infrastructures of its biodiversity informatics communities. Specifically, visions related to scientific progress and species loss, their institutionalization, and the need to negotiate external interests from governmental organizations led to unequal development across multiple infrastructures that contribute differently to biodiversity knowledge. We argue that such difference highlights that the social and organizational hurdles for combining biodiversity data are just as significant as the technological challenges and that the seemingly inconsequential organizational aspects of its infrastructure shape what biodiversity data can be brought together, modelled and visualised. (shrink)

Automatic screening tools such as plagiarism scanners play an increasing role in journals’ efforts to detect and prevent violations of research integrity. More than just neutral technological means, these tools constitute normatively charged instruments for governance. Employing the analytical concept of the digital imaginary, this contribution investigates the normative concepts that play a role in journals’ use of automatic screening. Using survey data of journal editors, as well as guidance documents by academic publishers and the Committee of Publication Ethics, it (...) traces how editors normatively situate their (non-)use of automatic screening tools in two opposing imaginaries of academic publishing: One that portrays academic publishing as a small and safe community, and one that sees it as a vast and dangerous space. These imaginaries reflect the social and epistemic characteristics and publication cultures in different academic fields, and both entail different modes of control. Additionally, they are shaped by a focus on plagiarism screening as a specific form of automatic screening that critically hinges on the issue of size of the publishing space, which exemplifies the mutual constitution of a specific problem, an imaginary where this problem becomes meaningful, and the availability of a tool that targets this problem. (shrink)

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. (shrink)

The “reproducibility crisis” has been one of the most significant stories in science in the past 15 years and has led to significant policy changes across the research landscape. Yet, scandals, irreproducible studies, and cries of crisis have occurred for decades in science. This article seeks to explain why the reproducibility crisis has taken root and become a force in science policy in ways previous crises have not. In short, we argue that it was through the scientific, institutional, and cultural (...) efforts of a group of scientific activists we are calling metascientists. Metascience is a scientific social movement that seeks to use quantification and experimentation to diagnose problems in research practice and improve efficiency. It draws together data scientists, experimental and statistical methodologists, and open science activists into a project with both intellectual and policy dimensions. Metascientists have been remarkably successful at winning grants, motivating news coverage, and changing policies at science agencies, journals, and universities. The social movement lens is useful for understanding the popularization and impact of the reproducibility crisis narrative and suggests ways the institutions of science are adapting to meet a changing political and technological landscape. (shrink)

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. (shrink)

With the rise of research impact as a ‘third’ space (next to research and teaching) within the universities in the United Kingdom and beyond, academics are increasingly expected to not only produce research but also engage in brokering knowledge beyond academia. And yet little is known about the ways in which academics shape their practices in order to respond to these new forms of institutionalised expectations and make sense of knowledge brokering as a form of academic practice. Drawing on 51 (...) qualitative interviews with researchers and research users involved in two large knowledge brokering initiatives in the UK, this study identifies four repertoires of co-production practices: (i) _Challenge_ to the existing policy framework, (ii) _Deliberation_ between diverse stakeholders, (iii) _Evidence intervention_ producing of actionable knowledge, and (iv) _Advocacy_ for specific evidence-based options. By exploring knowledge brokering as navigation of different knowledge production regimes – traditionally academic and policy-oriented – the paper contributes to the existing debates by providing insights into the nature of navigating science-policy interactions as a process of epistemological bricolage, requiring an assemblage of different meanings, values and practices into new repertoires of practice. Importantly, the choice of a repertoire is not limited to the individual choice of a researcher but rather, it is shaped by the broader institutional context of higher education, risking _instrumental bias_ in which practices oriented towards practical solutions are incentivised over critical or participatory forms of engagement. (shrink)

Despite the existence of studies addressing the historical development of digital platforms, none of them has yet drawn a coherent and comprehensive interpretation of the emergence of scientific digital platforms. The previous literature (i) focuses on specific scientific practices; (ii) does not reach far enough back into the past; (iii) does not cover all relevant groups of social actors; (iv) does not propose a taxonomy for scientific digital platforms; and (v) does not provide a definition for scientific digital platforms. We (...) propose in this paper a long-term view (from 1990 onwards), allowing us to identify the participation of distinct groups of social actors—within State, Market and Science subsystems—in the process of science platformization. Dialoguing with the most up-to-date literature, we broaden our understanding of the ongoing process of platformization of the research life cycle, proposing a taxonomy and a definition for scientific digital platforms. The evidence provided throughout the paper unveils that (i) the changes (caused by platformization) in each of the phases of the research cycle are not at all linear and are not happening simultaneously; (ii) actors from different subsystem played important roles in the platformization of science; and, (iii) specific categories of platforms have consolidated themselves as infrastructures and certain scientific infrastructures have been platformed, although this varies by category. (shrink)

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. (shrink)

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. (shrink)

This discourse analysis of metaphors of the crossdisciplinary composite of inter- and trans-disciplinary research gleans in sights for science today. The first section establishes a baseline by comparing spatial images to growing use of organic metaphors in an ecology of knowledge production. Following logically from the comparison, the second reflects on metaphors of exchange and transaction in trading zones, transaction spaces, and third spaces, then addresses implications for the earlier exemplar of Mode 2 knowledge production. The third section considers the (...) current exemplar of convergence as a new dynamic of fundamental and applied research then challenges the premise translation is a one-way transfer and application of findings from one domain to another, thereby recognizing complexity of relational capital, platforms as sites of collaboration, and ensuing tensions. The fourth reflects a widespread tendency to map domains of knowledge, building on Sheila Jasanoff’s cartographic metaphor of Science, Technology, and Society Studies as an archipelago and broader implications for the nature and status of interdisciplinary fields. The fifth section weighs the balance of disciplinarity and interdisciplinarity, questioning the premise of a New Disciplinarity reinscribing a disciplinary home versus transversal flow and flux. The sixth recognizes growing momentum for decolonizing crossdisciplinarity, including the role of lay, traditional, and Indigenous knowledge in fostering a transdisciplinary science of sustainability. The seventh closing section reflects on preceding metaphors against the backdrop of a century of developments that have made interdisciplinarity and transdisciplinarity part of the fabric of science today, though more often in incremental ways than radical refiguration. (shrink)

Park rangers hold a unique set of knowledge—of science, of publics, of institutional structures, of place, and of self—that should be recognised as valuable. For too long, models of the knowledge of scientists and publics have set people like rangers in an inbetweener position, seeing them as good at communicating, translating or negotiating from one side to the other, but not as making knowledge that is powerful in its own right. In this paper we argue that focus groups with park (...) rangers across regional and conservation parks in Aotearoa/New Zealand reveal the complexity and multiplicity of rangers’ knowledge-making that shows the science-public model as incomplete. We argue further that the model is flawed for its focus on the making and holding of knowledge and not also on how it is enacted. Rangers, we argue, are responsible every day for making knowledgeable decisions for the health and well-being of parks and people. Making good decisions, though, requires not just knowledge but also care. An understanding of the many ways rangers know and enact their knowledge is important for biosecurity practice, especially in models of adaptive governance. (shrink)