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  1. Engaged, Embedded, Enjoined: Science and Technology Studies in the National Science Foundation.Edward J. Hackett & Diana R. Rhoten - 2011 - Science and Engineering Ethics 17 (4):823-838.
    Engaged scholarship is an intellectual movement sweeping across higher education, not only in the social and behavioral sciences but also in fields of natural science and engineering. It is predicated on the idea that major advances in knowledge will transpire when scholars, while pursuing their research interests, also consider addressing the core problems confronting society. For a workable engaged agenda in science and technology studies, one that informs scholarship as well as shapes practice and policy, the traditional terms of engagement (...)
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  • Image and Logic: A Material Culture of Microphysics.Peter Galison (ed.) - 1997 - University of Chicago Press: Chicago.
    Engages with the impact of modern technology on experimental physicists. This study reveals how the increasing scale and complexity of apparatus has distanced physicists from the very science which drew them into experimenting, and has fragmented microphysics into different technical traditions.
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  • Simulating Science: Heuristics, Mental Models, and Technoscientific Thinking.Michael E. Gorman - 1992
    This study of cognitive processes and scientific research begins with an autobiographical account of a research program that was designed to simulate scientific thinking. It explores such questions as: How do mental models, representations, expectations, and presumptions affect the creation of scientific knowledge? What is the effect of confirmation or disconfirmation on the process of experimentation and the direction of research? How does a scientist decide whether a model or theory is correct? The first-person narrative allows readers to follow the (...)
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  • The Processes of Scientific Discovery: The Strategy of Experimentation.Deepak Kulkarni & Herbert A. Simon - 1988 - Cognitive Science 12 (2):139-175.
    Hans Krebs' discovery, in 1932, of the urea cycle was a major event in biochemistry. This article describes a program, KEKADA, which models the heuristics Hans Krebs used in this discovery. KEKADA reacts to surprises, formulates explanations, and carries out experiments in the same manner as the evidence in the form of laboratory notebooks and interviews indicates Hans Krebs did. Furthermore, we answer a number of questions about the nature of the heuristics used by Krebs, in particular: How domain‐specific are (...)
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