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)

Many research-intensive universities have moved into the business of promoting technology development that promises revenue, impact, and legitimacy. While the scholarship on academic capitalism has documented the general dynamics of this institutional shift, we know less about the ground-level challenges of research priority and scientific problem choice. This paper unites the practice tradition in science and technology studies with an organizational analysis of decision-making to compare how two university artificial intelligence labs manage ambiguities at the edge of scientific knowledge. One (...) lab focuses on garnering funding through commercialization schemes, while the other is oriented to federal science agencies. The ethnographic comparison identifies the mechanisms through which an industry-oriented lab can be highly adventurous yet produce a research program that is thin and erratic due to a priority placed on commercialization. However, the comparison does not yield an implicit nostalgia for federalized science; it reveals the mechanisms through which agency-oriented labs can pursue a thick and consistent research portfolio but in a strikingly myopic fashion. (shrink)

This essay is about the ensuing problem that in general it is nothelpful to talk about non-standard knowledge practices as modeled after our Western ideas of what knowledge is. It negotiates this problem by arguing that artisanal knowledge is an independent and self-contained mode of knowledge and is arranged in three parts. In the first part an outline is given of the key assumptions of the interactionist conception of knowledge that needs to be put in place as an alternative to (...) the basically Kantian mixture of empiricist and rationalist assumptions of the folk model of Western academic thinking about knowledge. In this interactionist conception of knowledgeartisanal knowledge gets center stage. In the second part, the notion of craftknowledge is opened up as much as possible. The third and final part takes upthe question whether craft knowledge is a cultural universal. (shrink)

This paper uses Actor Network Theory to examine two cases of device-mediated educational change, one involving a computer-assisted interactive video module that provided a half-hour of instruction for a university course, the other an assistive communication device that proved a supposedly retarded pre-school child to be intelligent. The paper explores how device construction instigated by middle-level organizational workers can ramify into organizational change, and extends Actor Network theory by augmenting some of its conceptual tools. I argue that the organizational change (...) processes initiated by work on the devices played out in non-linear ways across the decades-long careers of their makers, and that to understand them we not only have to look across such extended time frames, but must also consider how agency and identity positions emerge and shift over time through the mediation of devices. (shrink)

This paper uses Actor Network Theory to examine two cases of device‐mediated educational change, one involving a computer‐assisted interactive video module that provided a half‐hour of instruction for a university course, the other an assistive communication device that proved a supposedly retarded pre‐school child to be intelligent. The paper explores how device construction instigated by middle‐level organizational workers can ramify into organizational change, and extends Actor Network theory by augmenting some of its conceptual tools. I argue that the organizational change (...) processes initiated by work on the devices played out in non‐linear ways across the decades‐long careers of their makers, and that to understand them we not only have to look across such extended time frames, but must also consider how agency and identity positions emerge and shift over time through the mediation of devices. (shrink)

This article combines the idea of the active interview with insights from science studies and suggests that some concepts from science studies, like boundary objects and trading zones, should be utilized to understand and facilitate the production and analysis of data in a transcultural interview. This is illustrated by examples from interviews that the author conducted with women computer science students and faculty in a university in Malaysia. The article argues that the understanding of, as well as the performance of (...) the transcultural interview might benefit from the highly pragmatic character of scientific investigations, focusing on using locally available resources to produce knowledge; and that this in turn may enhance our capacity to do feminist research. (shrink)

Universal, scientific knowledge emerges from research practices. Scientists tinker with and align local conditions to produce scientific knowledge. Research equipment and scientific instruments are essential tools for knowledge production. Scientists differ, however, in their ability to handle these material resources of research. One type of scientist, who also represents a way of handling resources, is referred to by field scientists as a "gadget-man." Drawing upon a participant observation study of a marine labora tory in the Caribbean and a study in (...) which the author traced the development of photographic identification of cetacean, this article characterizes "gadget-scientists" in their research quest for scientific knowledge. (shrink)

A participant–observer who is both informed and interested in ethical issues, and is embedded within a nanotechnology research and development facility may be able to influence the ethical awareness of researchers in nanotechnology, and tease out the societal implications of the work being conducted. Two inter-disciplinary methods were employed: (1) regular involvement in the technical and scientific research at the facility by the participant–observer, and (2) repeated interactions and discussions between the participant–observer and the scientists. As a result of this (...) qualitative approach, an ethics questionnaire was developed and tested. This questionnaire has been incorporated into the admissions procedures for researchers as they commence use of the nanotech facility. The questionnaire highlights the importance of ethical issues in nanotechnology research and draws researchers into an engagement with possible ethical consequences and with future societal implications of their work. (shrink)