Artificial Intelligence in the form of different machine learning models is applied to Big Data as a way to turn data into valuable knowledge. The rhetoric is that ensuing predictions work well—with a high degree of autonomy and automation. We argue that we need to analyze the process of applying machine learning in depth and highlight at what point human knowledge production takes place in seemingly autonomous work. This article reintroduces classification theory as an important framework for (...) understanding such seemingly invisible knowledge production in the machine learning development and design processes. We suggest a framework for studying such classification closely tied to different steps in the work process and exemplify the framework on two experiments with machine learning applied to Facebook data from one of our labs. By doing so we demonstrate ways in which classification and potential discrimination take place in even seemingly unsupervised and autonomous models. Moving away from concepts of non-supervision and autonomy enable us to understand the underlying classificatory dispositifs in the work process and that this form of analysis constitutes a first step towards governance of artificial intelligence. (shrink)

In contemporary societies, the processes of transindividuation by which knowledges are transformed into cycles and rhythms of metastability have been dramatically short-circuited. In turn, this has provoked the spiritual misery and pseudo-fabulations so prevalent all around us, including our educational contexts. For Stiegler, this is nothing short of a noetic reticulation that deprives us from ways of thinking ourselves beyond or outside of our digital experience. But digitality has not only intensified the commodification of knowledges (savoirs), it has also rendered (...) even knowledge production automated, recursive and probabilistic, the uncritical implementation of ChatGPT being a prime example. What this means is that knowledge and knowledge production have been subsumed under the rubric of recursive optimization for predictive performance. To understand this transformation, I discuss the implications of the widespread use of Bayesian statistics in machine learning. My argument is that we need to develop new speculative tools aimed at what is known as priors in Bayesian models, which is to say the probability of an occurrence before the collection of new data. What this means for education is that we need to address not only the effects of automation, but also the very conditions that give rise to these. (shrink)

Scientific knowledge production is a domain of human excellence, but recently this position became progressively challenged by machine intelligence. Some human tasks will be conquered sooner; others, which include design, may still require human intuition. Would the automated knowledge production truly challenge the human, or is one just an extension – a prosthetic – of the other? What could be the place of art in such environment? Mess and messy scientific models have the potential to (...) provide paradigm shifts in molecular modelling, cancer research and systems biology where not only living humans but also machine learning algorithms craft knowledge. Together with art they have the potential for different reading and re-framing, which are the qualities scientists are looking for when engaging works of art within their molecular modelling process. In my opinion, these are the same qualities scientists are also looking for in the outputs of machine learning and computational chemistry modelling. (shrink)

With slogans such as ‘Tell the stories hidden in your data’ and ‘From data to clear, insightful content – Wordsmith automatically generates narratives on a massive scale that sound like a person crafted each one’, a series of companies currently market themselves on the ability to turn data into stories through Natural Language Generation techniques. The data interpretation and knowledge production process is here automated, while at the same time hailing narrativity as a fundamental human ability of (...) meaning-making. Reading both the marketing rhetoric and the functionality of the automated narrative services through narrative theory allows for a contextualization of the rhetoric flourishing in Big Data discourse. Building upon case material obtained from companies such as Arria NLG, Automated Insights, Narrativa, Narrative Science, and Yseop, this article argues that what might be seen as a ‘re-turn’ of narrative as a form of knowledge production that can make sense of large data sets inscribes itself in – but also rearticulates – an ongoing debate about what narrative entails. Methodological considerations are thus raised on the one hand about the insights to be gained for critical data studies by turning to literary theory, and on the other hand about how automated technologies may inform our understanding of narrative as a faculty of human meaning-making. (shrink)

In the classic study Little science, big science (New York: Columbia University Press, 1963), Derek Price traces the historical shift from what he calls little science?exemplified by early?modern ?invisible colleges? of scientific amateurs and enthusiasts engaged in small?scale, informal interactions and personal correspondence?to 20th?century big science, dominated by professional scientists and wealthy institutions, where scientific information (primarily in print form and its analogues) was mass?produced, marketed and circulated on a global scale. This article considers whether the growing use of more (...) participatory, interactive ?Web 2.0? technologies and social media in science today (e.g. wikis, blogs, tagging and bookmarking, conferencing, etc.) may signal a revival of little science modes of communication that contrast with big science conventions that continue to dominate research policy, scientific institutions, and the publishing industry. A brief historical review of responses to the scientific ?information explosion? since the early 1900s is presented, with a particular focus on the idealization of large?scale, automated information systems and the privileging of formal (document?producing) over informal (interpersonal) modes of scientific communication. Alternative frameworks for scientific communication that incorporate both documents and interaction are used to examine contemporary examples of so?called Science 2.0 and citizen science projects to determine whether such projects indicate the emergence of new modes of communication in science that bridge the immediacy and involvement of invisible colleges and the rigor of peer?reviewed publishing. The implications for traditional documentary forms such as the journal article are also discussed. (shrink)

Scientific knowledge production is currently affected by the dissemination of data on an unprecedented scale. Technologies for the automated production and sharing of vast amounts of data have changed the way in which data are handled and interpreted in several scientific domains, most notably molecular biology and biomedicine. In these fields, the activity of data gathering has become increasingly technology-driven, with machines such as next generation genome sequencers and mass spectrometers generating billions of data points within (...) hours, and with little need for human supervision. Given the relative ease and low costs with which datasets can be produced (that is, once a laboratory has been able to afford .. (shrink)

New production concepts rely on the active (co-) shaping of planning, control and organisation processes on the shop floor level. Established CAPM technologies (CAPM =Computer Aided Production Management) only provide insufficient support, and a complete automation of the production management is not suited to close this gap. This is why new principles of system design have to be developed which meet various requirements: from taking into account a multidimensionality and contradiction of planning targets and the integration of (...) learning opportunities with the use of systems up to the promotion of work process knowledge. (shrink)

Recent developments in artificial intelligence (AI) promise cognitive optimization in many areas of our lives, ranging from automated decision-making to superintelligence. In a predominant narrative, the black-box of machine learning systems is identified as one of the biggest obstacles from an epistemic point of view. The problem is expected to be solved by algorithmic counteractions emerging from the field of explainable artificial intelligence (XAI). However, deeper questions about a meaningful cognitive division of labor between AI algorithms and human actors (...) who use these systems are vastly ignored. The article aims to replace the dominant anthropomorphizing metaphors by a reconceptualization based on philosophy of technology. The new framework allows to interpret AI technology as an epistemic tool, which co-shapes a specific milieu of reflection and which is based on an epistemic model of automated knowledge production. This re-conceptualization offers a new perspective on AI technologies, where epistemic empowerment and epistemic sovereignty are in the center. (shrink)

In recent years drastic shifts in the paradigms of politics, economics and technologies have occurred throughout the world. The shifts in these three fields are all related. It is our responsibility to investigate these shifts from the aspects of society and mankind for the prosperity of future generations. For this, societies should share with each other their wisdom and knowledge in an effort to plan for the future.

This paper is discusses some central points in a dissertation for the degree of dr. phil., "Regulation as Productive Tool Use - a Participatory Observation in the Control Room of a District Heating System." An earlier version of the paper was presented by the author as part of the defense of the dissertation at Roskilde University Center June 14 2002. As suggested by the title, the dissertation was an empirical study of regulation in a control room. The object of the (...) authors participatory observation was how the operators in the control room followed rules when they regulated a highly automated plant. When I was shown the plant I was told that the technology ran smoothly and without error. Its control structures are based on formal logic and mechanical principles, all the same human beings are required in the control room to take care of anomalies. Among other things, the observations provide an opportunity to discuss the limitations of psychologies that study human beings on the basis of formal principles. The present paper focuses on two characteristic aspects of this discussion in the dissertation. First, it takes its point of departure in some practical problems of the control structures of the control room. It will demonstrate that the practical problems are problems of principle, and that formal principles are not adequate to study the object of human sciences, namely, human beings. Second, it sketches out what is required of a conception of human beings. As human beings are trusted to handle anomalies, we must explain how they are able to act on an incomplete understanding of the situation. And since they are able to identify what is wrong, we must explain how they develop new knowledge. The paper presented at the defense summarized the main arguments of the dissertation and alluded to an expansion of the main point using a particular instance. Here the weight is shifted to the latter expansion. (shrink)

Automated facial recognition methods have become widely used as a way to ascertain the identity of individuals. Yet the methods by which facial recognition technologies (FRT) operate – the machinic performance of the perception of the human face – are often invisible to those under their gaze. This article investigates the machinic perception of the face through an FRT method known as eigenface, in order to both reveal and problematize the ways of seeing that underlie it. As part of (...) its algorithmic processes, eigenface produces an image. This image can be understood as a portrait of machine recognition, making visible the processes through which the algorithm performs recognition and ‘sees’ the human face. The eigenface portrait reveals a way of seeing that is based on statistical processes of pattern recognition. An analogue antecedent of this application of statistics to the recognition of facial images can be found in the composite portrait. Through a dialectical discussion of composite portraiture in multiple disciplinary fields ranging from sociology to philosophy and the visual arts, this article experiments with providing a cultural and social translation of machine processes of visual perception. The discussion shifts the focus of enquiry towards the aesthetics of the algorithmic process in order to provide an entry point for critique and a possible reimagination on algorithmic knowledge production. (shrink)

Expert systems provide new languages and a new methodology for automating knowledge-intensive processes. Whilst the benefits expected are ubiquitously stated, probable negative impacts are seldom admitted by the dominant actors in the field. We deal with probable problematic impacts on employment as well as contents and structure of work both in production and the service and administration areas and make some suggestions concerning measures to be taken to account for these impacts assuming no radical change as to the (...) prevailing ideology of working organization. (shrink)

Digital social analytics is a subset of Big Data methods that is used to understand the social environment in which people and organizations have to act. This paper presents an analysis of eight projects that are experimenting with the use of these methods for various purposes. It shows that two specific technological features influence the work with such methods in all the cases. The first concerns the need to distribute choices about the structure of data to third-party actors and the (...) second concerns the need to balance machine intelligence and human intuition when automating the analysis. These features set specific conditions for knowledge production, and the paper identifies two opposite approaches for engaging with each of these conditions. These features and approaches are finally combined into a two-dimensional affordance space that illustrates how there is flexibility in the way project leaders interact with the features of the data environment. It thereby also shows how digital social analytics come to have different affordances for different projects. (shrink)

Pervasive digitality reveals us as analogue creatures that are unprepared for a world and a logic generated increasingly through automation. Promulgated by capitalism, digitality has created a new form of alienation, one far more powerful and comprehensive than that envisaged by either Marx or Lukács in the analogue-industrial age. Digital alienation-through-automation is the central process in our digital post-modernity. The effects reach increasing registers and spheres of culture, economy and politics. This essay considers the effects within the production of (...) knowledge within higher education. Through a critique of Clayton Christensen’s concept of ‘disruptive technologies’, it develops the argument that knowledge produced in our higher institutions of learning suffer from two forms of ‘knowledge capture’. The first and most comprehensive is knowledge increasingly oriented toward instrumental outcomes, generated in vocationally oriented and market-pressured contexts, and produced by the general-sector institutions; second is knowledge, much of it profound and potentially world-changing—in economics and climate science in the cases discussed here. These are generated in both prestigious general-sector universities, and in the elite Ivy League and Russell Group universities but are unable to gain traction with an ascendant and alien post-Westphalian, post-modern and post-Enlightenment political context—created by a globalising digitality. I argue that unless we recognise our analogue essence, and that this has been alienated by digital automation, then the aporias of digitality, with knowledge production an important element, then our institution of higher learning will continue to produce much valuable knowledge that has diminishing practical (political) effect. (shrink)

Using contemporary insights from feminist critical theory and the literary image of synecdoche, we argue that transdisciplinary knowledge is productive because it “maximizes serendipity.” We draw on student learning experiences in a course on Gender and Science to illustrate how the dichotomous frameworks and part-whole correspondences that are predominant in much disciplinary discourse must be dismantled ifor innovative intellectual work to take place. In such a process, disciplinary presumptions interrogate and unsettle one another to produce novel questions and answers.

Contemporary debates on decolonising knowledge production, inclusive of research on Africa, are crucial and challenge researchers to reflect on the legacies of colonial power relations that continue to permeate the production of knowledge about the continent, its peoples, and societies. Yet these are not new debates. Sixty years ago, Ghana’s first president and pan-Africanist leader, Dr Kwame Nkrumah, highlighted the importance of Africa-centred knowledge. Similarly, in the 1980s, Claude Ake advocated for endogenous knowledge (...) class='Hi'>production on Africa. But progress has been slow at best, indicated by the enduring predominance of non-African writers on African issues within leading scholarly journals. Thus, we examine why decolonisation of knowledge production remains so necessary and what can be done within the context of scholarly research in the humanities and social sciences. These questions are addressed at two levels, one more practical and one more reflective . At both levels, issues of power inequalities and injustice are critical. At the practical level, the asymmetrical power relations between scholars in the Global North and South are highlighted. At a deeper level, the critiques of contemporary African authors are outlined, all contesting the ongoing coloniality and epistemic injustices that affect knowledge production on Africa, and calling for a more fundamental reorientation of ontological, epistemological, and methodological approaches in order to decolonise knowledge production. (shrink)

Misinformation, disinformation, or fake news pose a new societal challenge. Through Kantian philosophy, we postulate this as an ethical challenge, one driven by social forces that shape social media’s use towards unethical knowledge production. However, automated or intelligent technologies can also be a solution in acting as a polygraph on social media platforms. We propose such technology could be ethical-by-design if we bring moral philosophy into a software architecture. Kant’s philosophical formalism is well-aligned with computing logic, especially (...) blockchain applications. However, we must also remain highly vigilant to the conceptual complexities, the existing critiques on Kantian ethics and deontology, and the general approach of imbuing moral thinking into a machine-especially if based on only one, rather hard-lined philosophy. While the principled nature of Kant’s propositions make for a suitable architecture, it poses in itself critical ethical concerns and considerations. (shrink)

This article discusses the ethics of knowledge production from a cultural point of view, in contrast with the more usual emphasis on the ethical issues facing individuals involved in KP. Here, the emphasis is on the cultural environment within which individuals, groups and institutions perform KP. A principal purpose is to suggest ways in which reliable scientific knowledge could be produced more efficiently. The distinction between ethical hazard and ethical behaviour is noted. Ethical hazards cannot be eliminated (...) but they can be reduced if the cultural ambience is suitable. The main suggestions for reducing ethical hazards in KP relate to the review process. It is argued that some defects of the current, largely anonymous, review process could be ameliorated by a process of comprehensive, open and ongoing review. This includes partial professionalisation of the work of reviewing. Review at several stages is a vital part of the long filtering that incorporates some claims into the canon of reliable knowledge. The review process would be an acknowledged and explicit part of KP—a respected, public and rewarded activity. COOR would be expensive but cost-effective. The costs should be built explicitly into research culture. Finally, the considerations about a more ‘KP friendly’ culture lead to advocacy of a ‘long-term, short-term’ synthesis; that is, of the synthesis of long-term vision, such as a more cooperative and less competitive culture, with incremental changes which may be implemented in the short term. (shrink)

This article is based on a perspective on circulation of knowledge that allows the consideration of science as the result of the encounter between diverse communities. We tell a story that constantly changes places, scales, and cultures in order to stress the importance of networks as an alternative to the centre/periphery trope, which entangles world histories of science. The result is a picture much more complex and intertwined than the one suggested by these simplifying dichotomies. We focus on a (...) case study that illuminates the process of knowledge production in non-European spaces of modernity. The return of the Society of Jesus to the newly independent nation-states of Latin America is the point of departure to analyse the circulation of a specific scientific idea in Ecuador: Darwin’s theory of biological evolution through natural selection. The article follows the paths of three different knowledge makers whose encounters are seen as sites of knowledge production: a religious order, a Latin American... (shrink)

The past years have witnessed a growing awareness of the role of institutions of knowledge production in reproducing the global climate crisis, from research funded by fossil fuel companies to the role of mainstream economics in fuelling the idea of growth. This essay argues that rethinking knowledge production for post-carbon futures requires engaging with the co-determination of modes of knowing and modes of governing. The ways in which knowledge production is embedded in networks of (...) global capitalism shapes how we (can) think about the future. The essay argues for an attentivity to the material and infrastructural sides of knowledge production, which will enable us to re-think transition to post-carbon futures in ways that recognize the deep structural, spatial and social inequalities underpinning knowledge production. (shrink)

Capitalist dynamics in knowledge production are not limited to situations in which economic interests influence researchers’ practices. Building on laboratory studies and the French “pragmatic” tradition in sociology, this article proposes an approach to tackle more pervasive capitalist logics at work in contemporary research and their consequences. It uses the term epistemic capitalism to denote the accumulation of capital, as worth made durable, through the act of doing research, in and beyond academia. In doing so, it conceptualizes capitalism (...) primarily not as a system of circulation and accumulation of monetary value but rather as a cultural way of producing, attributing, and accumulating specific forms of worth, which need not be monetary. Empirically, the article studies variants in epistemic capitalism by addressing the differing role of the accumulation of different forms of capital and the regimes connected to it in two institutional settings in Austria, academic life science laboratories and biotechnology start-up companies. Concluding, it argues that analytically dissociating the concept of capitalism from its link to economic value allows a finer-grained cultural analysis of the importance and effects of processes of accumulation in contemporary research. It ends with discussing the normative implications of these findings for debates about the commercialization of academia. (shrink)

In this paper, I analyze how recent calls to internationalize publication behavior affect research practices at an automotive engineering department in Germany. Automotive engineering is a field with traditionally rather scarce publication activity and strong connections to industry. Substantial authority to define suitable research problems and ways of organizing knowledge production on a daily basis was therefore reserved for local academic elites as well as corporate partners. However, as engineers are increasingly expected to prove their performance through publishing (...) in international peer-reviewed journals, the judgment as to what should be considered “interesting” or “robust” research is partly relegated to a gradually globalizing community of academic peers. This generates a variety of tensions with established ways of coordinating epistemic work at the department studied here. For example, the thematic interests of journals tend to exert a disruptive centrifugal pull in the context of an otherwise highly modular research culture, and possibilities to publish in international venues are unequally distributed across individual research projects. But while department members agree that there is a lack of fit between current practices and new expectations towards their publishing behavior, their opinions about the conclusions that should be drawn differ significantly. Some researchers argue that profound organizational changes are necessary to foster the academic rigor of German engineering research. Others believe that evaluation criteria should simply be adapted. This situation is arguably characteristic for research areas with a traditionally strong orientation to local stakeholders, and it suggests a need for more deliberative, participatory approaches to research evaluation in such fields. (shrink)

The notion of economic violence has long been recognized in the work of Johan Galtung and others. The work of Thomas Pogge and the field of global justice have addressed the impact of economic disparities between the Global North and the Global South, and their impact on human well-being, and social and economic development more broadly. Patents, publication in scholarly journals, academic collaborations, access to academic journals, and so forth do not on their face seem to be closely tied to (...) indicators of human well-being. However, disparities in knowledge production, including access to academic resources and publication venues, are tied directly or indirectly to infrastructure, food security, health and mortality rates, employment, and gender equity. (shrink)

Framing datafication as new form of knowledge production has become a trope in both academic and commercial contexts. This special theme examines and ultimately rejects the familiar grand claims of datafication, to instead pay attention to emergent conversations that seek to take a more nuanced stock of the status and nature of datafied knowledge production. The articles in this special theme thus engage with datafied knowledge production through elaborate explorations of how datafied knowledge (...) depends on the contexts of its production and the forms of knowledge production that precede it in those contexts. Our basic argument is that while the resources, material features and analytical operations involved in datafied knowledge production may be different, many fundamental concerns about epistemology, ontology and methods remain relevant to understand what shapes it. We still need to understand and explicate the assumptions, operations and consequences of emergent forms of knowledge production. If datafied knowledge production is neither a clean revolutionary break with past forms of knowledge production nor a balloon of pure hype, the articles in this special theme ask: what does the phenomenon of datafied knowledge production look like? Which digital and datafied infrastructures support its future development? And what potentialities and limits do such forms of analysis and knowledge production contain? (shrink)

Algorithms and automated learning systems have been successfully applied to produce images, pieces of music, or texts that are appealing to humans and that are often compared to artworks. Computational technologies are able to find surprising and original solutions–new patterns that humans cannot anticipate– but does this mean we ascribe to them the kind of creativity that is expressed by human artists? Even though AI can successfully detect humans’ preferences as well as select the objects that satisfy taste, can (...) we ascribe to them the capacity of recognizing the intrinsic value of artworks? To answer these questions, I am first going to explain the kind of creativity that is expressed by contemporary predictive systems, then, in the second part of this paper, I will try to show the difference between the creativity of algorithms and the creativity of artists by expanding on Deleuze’s reflections. (shrink)

Calhoun is interviewed regarding the relationship of his work on the university to his other research interests. Calhoun elaborates on his hope for a debate over transformations in the structure of the university that is much more sensitive to the public role universities play and the importance of the collective goods they create. In the process he articulates the possibilities for an institutional analysis of the university that meets scholarly standards of knowledge production while remaining engaged with central (...) issues that arise out of institutional transformation. By situating universities in relationship with the public sphere, Calhoun provides a basis for debates about the transformation of the university to overcome the structured and structuring dispositions of the participants, while remaining grounded in social and historical analysis-an approach that can be considered an alternative public sociology. (shrink)

Today universities are increasingly seen as motors of innovation: they not only need to provide trained manpower and publications to society, but also new products, new processes and new services that create firms, jobs, and economic growth. This function of universities is controversial, and a huge and still expanding literature has tried to understand it. The approach of this paper is integrative; it uses the existing literature to answer a number of straightforward questions about the creation of innovations with university (...) knowledge production: how does this happen, to what extent, and if it is desirable. In this way this article grounds the issue. Creating innovation with university knowledge production is relevant, justified and important but this has not been, is not and will not become the core function of universities. The existing literature, in other words, overestimates the importance of university knowledge production - in general, and for innovation in particular. (shrink)

This paper examines how officials of the Qin (221–207 BCE) and Former Han (202 BCE–9 CE) empires gathered information on their far-flung domains. These empires were able to maintain control over large areas of the East Asian subcontinent because they had an effective system for obtaining information on the things that mattered most to them: people, land, resources, and transport. We have various sources on these information collection systems from both excavated and received texts. These can be considered to include (...) not only maps, surveys, and population records, but also communication infrastructures such as roads, canals, and postal systems. The information-gathering systems of this period are important both because they worked relatively well and because they were recorded in the histories and became a model for later administrators. (shrink)

In Toward a Pragmatist Philosophy of the Humanities (Pihlström 2022) Sami Pihlström argues that the humanities are truth-aiming and knowledge-producing. Reductive ontological and narrow epistemological views, and “post-truth” views in the humanities, have devalued their cognitive contributions as knowledge-producing research programs. Pihlström argues that a pragmatic approach to knowledge in a Peircean vein suggests a broader ontological and epistemological framework that avoids the Scylla a...

French poststructuralist philosopher Michel Serres writes about knowledge production throughout his work. He is of particular importance to educationists because the production of knowledge...

Rejection is an essential part of the scholarly publishing process, acting as a filter to distinguish between robust and less credible scientific works. While rejection helps reduce entropy and increase the likelihood of disseminating useful knowledge, the process is not devoid of subjectivity. Providing more informative rejection letters and encouraging humility among editors and reviewers are essential to enhance the efficiency of knowledge production as they help ensure that valuable scientific contributions are not overlooked.

The Aysén Hydroelectric Project in Chilean Patagonia proposed the construction of the country’s largest power facility to supply its capital, nearly 2,000 kilometres away. We seek to explain the way science, politics, law, business and the civilian population are joined up. To this end, we analyse the project’s evolution, the construction of techno-scientific arguments by the participants and how Chilean regulations are adapting to this process.

Abstract:Ecofeminists have called for adding an ecological dimension to gender research to address various forms of oppression that women experience in their daily lives and to explain how feminine exploitation of the planet results from the same logic of patriarchal domination. Now that the flow of essentialism-phobia (Field 2000, 39) has decreased, it seems that it is time to deal with the risky topic of the body in ecofeminist research and theory to make it more central in feminist epistemologies. Yet (...) feminist theory needs to avoid repeating the past mistakes in theorizing embodiment from an ecofeminist point of view and pay proper attention to the questions of difference and diversity: whose body is being discussed and generalized? This paper builds upon the postcolonial ecofeminist perspectives of embodiment and highlights the diversity of lives and experiences of living in Others of cisgender heterosexual male bodies with a focus on covered raced body. (shrink)

ABSTRACTThis article explains the implications and benefits of founding transdisciplinary collaborations of knowledge production in critical realism. We call such equal partnerships of researchers and practitioners knowledge alliances. Drawing on the distinction between the referent to which we refer and our references, we show that practitioners can contribute to the process of knowledge production by providing access to referents and producing references but also by achieving societal relevance. In order to accomplish excellence, knowledge (...) class='Hi'>production should be organized in ways that engage different types of knowledge in a constructive interplay and use the respective strong points of researchers and practitioners. Abduction and retroduction, two modes of inference vital to critical realism, are particularly inclined to benefit from involving practitioners in knowledge production. We call such an approach potential-oriented and put... (shrink)

The traditional researcher-driven environment of medical knowledge production is losing its dominance with the expansion of, for instance, community-based participatory or participant-led medical research. Over the past few decades, sociologists of science have debated a shift in the production of knowledge from traditional discipline-based to more socially embedded and transdisciplinary frameworks. Recently, scholars have tried to show the relevance of Mode 2 knowledge production to medical research. However, the existing literature lacks detailed clarifications on (...) how a model of Mode 2 knowledge production can be constructed in the context of medical research. This paper calls for such further clarifications. As a heuristic means, the advocacy for a controversial experimental stem cell therapy is examined. It is discussed that the example cannot be considered a step towards Mode 2 medical knowledge production. Nonetheless, the example brings to the fore some complexities of medical knowledge production that need to be further examined including: the shifting landscape of defining and addressing vulnerability of research participants, the emerging overlap between research and practice, and public health implications of revising the standard notions of quality control and accountability. (shrink)

ArgumentUsing the notion of styles of knowledge we refer to the ways diverse scientific communities claim to produce true knowledge, their understandings regarding the attitudes and values that scientists should have in order to grasp natural and social reality, and the practices and technologies developed within such styles. This paper analyzes scientific and medical enterprises that explored the relationship between environment, population, and society in Colombia between 1850 and 1920. We argue that similar styles of knowledge (...) class='Hi'>production were shared in human geography, medical geography, and climatic physiology at the mid-nineteenth century; and that some physicians working in bacteriology and physiology since the 1880s established epistemic boundaries between their work and earlier scientific activities, while others found these distinctions irrelevant. However, the historical actors committed to any of the styles of knowledge production explored in this article agreed on the local specificity of their objects of inquiry, therefore questioning European science. These styles of knowledge production also shaped different ways of perceiving and addressing national problems. Hence, this article is a contribution to the recent literature on both historical epistemology and social and cultural history of science and medicine. (shrink)

A rise of academic capitalism over the past four decades has been well documented within many research-intensive universities. Largely missing, however, are in-depth studies of how particularly situated academic groups manage the uncertainties that come with intermittent and fickle commercial funding streams in their daily research practice and problem choice. To capture the strategies scientists adopt under these conditions, this article provides an ethnographically detailed (and true) story about how a single project in Artificial Intelligence grew over several years from (...) a peripheral idea to the very center of an academic lab’s commercial portfolio. The analysis theorizes an epistemic form—nimble knowledge production—and documents three of its lab-level features: 1) rapid prototyping to keep sunk costs low, 2) shared search for “real world problems” rather than “theoretical” ones, and 3) nimble commitment to research problem choice. While similar forms of academic knowledge transfer have been lauded as “mode 2,” “innovative,” or “hybrid” for initiating cross-institutional collaboration and pushing science beyond disciplinary silos, this case suggests it can rely on fleeting attention to problems resistant to a quick fix. (shrink)

Adaptation to changing and new environmental conditions is of fundamental importance to sustainability and requires concerted efforts amongst science, policy, and practice to produce solution-oriented knowledge. Joint knowledge production or co- production of knowledge has become increasingly popular terms to describe the process of scientists, policy makers and actors from the civil society coming together to cooperate in the production, dissemination, and application of knowledge to solve wicked problems such as climate change. Networks (...) are particularly suited to produce knowledge in a joint fashion. However, the process of joint knowledge production (JKP) in networks has rarely been examined. In this paper, we present a sketch of the adaptation network landscape and assess how joint knowledge production supports the development of solution-oriented knowledge in climate change adaptation networks. We conclude that the processes of JKP are diverse, complex, and highly dependent on the interests and roles of actors within the network. To keep such processes alive, signposts in form of analysis and intermediary products along the network lifetime should be positioned as means of stocktaking and monitoring for the future. (shrink)

Recent reports and papers on chimeric research highlight the promise of chimeric models of human neuropsychiatric disorders to ameliorate human suffering due to autism spectrum disorders, depression, and schizophrenia. These calls, however, typically do not acknowledge, much less address, criticisms of model creation and validation, or concerns about scientific conduct more generally. The ethical justification for the use of nonhuman animals in research depends on the production of benefits to humans based on such research. But the assessment and (...) class='Hi'>production of benefits are highly uncertain and rife with both practical and conceptual challenges. This essay provides a general framework for classifying the benefits of biomedical research and then focuses on two factors that directly impact—and threaten—the production of knowledge in research that models neuropsychiatric disorders. (shrink)

In September 2014, students and Hong Kong citizens took to the streets demanding universal suffrage. Cell phones and video cameras in hand, amateur student filmmakers were some of the first to capture the police tear-gassing young people that brought the city to its feet. Young people were positioning themselves as storytellers and knowledge producers on the streets. How has this restructured hierarchy of knowledge production often found in university education in Hong Kong? How too has being active (...) participants and/or passive observers of the events of the Umbrella Movement translated into a pedagogy of experience in student’s daily lives, and how has this knowledge returned to the classroom? Specifically, I am interested in ways that young women who are not Cantonese first-language speakers understand their role in the movement and the kinds of knowledge they produced. Through interviews with these diverse students, and visual data from the footage they shot during the protests, we gain a rare g... (shrink)

This book seeks to provide an introductory outline of the history and theory of knowledge production, notwithstanding the vastness of the subject. It is a brief history of intellectual formation or history of ideas. One can see it as a textbook of historical epistemology, which in spatio-temporal terms historicises knowledge production and contextualises methodological development. It addresses the historical process of the social constitution of knowledge, that is, the social history of the making of (...) class='Hi'>knowledge. (shrink)

In this paper I ask whether the University has a special role to play in democratic societies. I argue that the modern University can no longer lay claim to a research monopoly since nowadays research is conducted in many places outside of the University. The University can, however, still lay claim to a kind of knowledge monopoly which has to with the central role Universities play in the definition of what counts as scientific knowledge. The problem is, however, (...) that the University’s knowledge monopoly is predominantly understood in epistemological terms. This leaves only one role for the University in a democratic society, viz., that of the expert. Based on ideas from John Dewey and Bruno Latour I suggest a different way to understand the distinction between ‘scientific’ and ‘everyday’ knowledge. Against this background I argue that the University can contribute towards the democratisation of knowledge if it articulates the difference between scientific and everyday knowledge in non-epistemological terms. (shrink)

In Seminar XVII, entitled The reverse side of psychoanalysis, Jacques Lacan presents his famous theorem of the four discourses. In this rereading I propose to demonstrate that Lacan’s theorem entails a transferable dialectical method for studying processes of knowledge production, enabling contemporary scholars to develop a diagnostic of the present, notably scholars interested in issues such as the vicissitudes of knowledge production under capitalism, the crisis of the university and the proliferation of electronic gadgets. In short, (...) I will argue that Lacan’s theorem of the four discourses entails a dialectical diagnostic of technoscientific knowledge during late capitalism. First, the four discourses will be briefly outlined, emphasising the extent to which they entail, albeit in an ambivalent manner, a return or detour to the logic of Hegel. Subsequently, each discourse will be presented in more detail, emphasising how they allow us to come to terms with the current status of technoscientific knowledge. Special attention will be given to the political backdrop of the seminar: the crisis of the university. Finally, I will discuss the historical dimension, outlining both the predecessor of the four discourses and their current predicament under neoliberal/capitalist conditions. (shrink)