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  1. Ag-tech, agroecology, and the politics of alternative farming futures: The challenges of bringing together diverse agricultural epistemologies.Summer Sullivan - 2023 - Agriculture and Human Values 40 (3):913-928.
    Agricultural-technology (ag-tech) and agroecology both promise a better farming future. Ag-tech seeks to improve the food system through the development of high-tech tools such as sensors, digital platforms, and robotic harvesters, with many ag-tech start-ups promising to deliver increased agricultural productivity while also enhancing food system sustainability. Agroecology incorporates diverse cropping systems, low external resource inputs, indigenous and farmer knowledge, and is increasingly associated with political calls for a more just food system. Recently, demand has grown for the potentially groundbreaking (...)
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  • Science and Engineering Doctoral Student Socialization, Logics, and the National Economic Agenda: Alignment or Disconnect?Matthew M. Mars, Kate Bresonis & Katalin Szelényi - 2014 - Minerva 52 (3):351-379.
    This study explores the institutional logics and socialization experiences of STEM doctoral students in the context of the current American economic narrative that is specific to science and technology. Data from qualitative interviews with 36 students at three research universities first reveals a disconnect between a well-established national science and technology policy narrative that is market-oriented and the training, experiences, and perspectives of science and engineering doctoral students. Findings also indicate science and engineering doctoral students mostly understand entrepreneurship and innovation (...)
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  • Convergence or Divergence: Practice of Science by Migrant Faculty in India and the United States.Roli Varma & Meghna Sabharwal - 2017 - Science, Technology, and Human Values 42 (5):775-794.
    Do immigrant faculty trained in American higher education institutions adopt the outlook and practices of native US scientists and engineers, or do they diverge from such practices? The modern science paradigm holds that location will not matter significantly and that immigrants in either place will converge to a common standard of scientific practice. Drawing upon 134 in-depth interviews, this paper compares the scientific practices of two groups of Indian immigrant faculty in science and engineering: those who studied and worked in (...)
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  • Local food systems, citizen and public science, empowered communities, and democracy: hopes deserving to live.William Lacy - 2022 - Agriculture and Human Values 40 (1):1-17.
    Since 1984, the AHV journal has provided a key forum for a community of interdisciplinary, international researchers, educators, and policy makers to analyze and debate core issues, values and hopes facing the nation and the world, and to recommend strategies and actions for addressing them. This agenda includes the more specific challenges and opportunities confronting agriculture, food systems, science, and communities, as well as broader contextual issues and grand challenges. This paper draws extensively on 40 years of AHV journal articles (...)
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  • A story of nimble knowledge production in an era of academic capitalism.Steve G. Hoffman - 2021 - Theory and Society 50 (4):541-575.
    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 (...)
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  • A Public Trial De Novo: Rethinking “Industrial Interests”.Christopher Gad & Jane Bjørn Vedel - 2011 - Bulletin of Science, Technology and Society 31 (6):506-517.
    This article addresses the concept of “industrial interests” and examines its role in a topical controversy about a large research grant from a private foundation, the Novo Nordisk Foundation, to the University of Copenhagen. The authors suggest that the debate took the form of a “public trial” where the grant and close(r) intermingling between industry and public research was prosecuted and defended. First, the authors address how the grant was framed in the media. Second, they redescribe the case by introducing (...)
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  • Democratizing ownership and participation in the 4th Industrial Revolution: challenges and opportunities in cellular agriculture.Robert M. Chiles, Garrett Broad, Mark Gagnon, Nicole Negowetti, Leland Glenna, Megan A. M. Griffin, Lina Tami-Barrera, Siena Baker & Kelly Beck - 2021 - Agriculture and Human Values 38 (4):943-961.
    The emergence of the “4th Industrial Revolution,” i.e. the convergence of artificial intelligence, the Internet of Things, advanced materials, and bioengineering technologies, could accelerate socioeconomic insecurities and anxieties or provide beneficial alternatives to the status quo. In the post-Covid-19 era, the entities that are best positioned to capitalize on these innovations are large firms, which use digital platforms and big data to orchestrate vast ecosystems of users and extract market share across industry sectors. Nonetheless, these technologies also have the potential (...)
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  • Managing Ambiguities at the Edge of Knowledge: Research Strategy and Artificial Intelligence Labs in an Era of Academic Capitalism.Steve G. Hoffman - 2017 - Science, Technology, and Human Values 42 (4):703-740.
    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 (...)
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