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  1. How Academic Opinion Leaders Shape Scientific Ideas: An Acknowledgment Analysis.Catherine Herfeld & Malte Doehne - forthcoming - Scientometrics.
    In this paper, we examine how a research institution’s social structure and academic opinion leaders’ presence shaped the early adoption of a scientific innovation. Our case considers the early engagement of mathematical economists at the Cowles Commission with John von Neumann and Oskar Morgenstern’s Theory of Games and Economic Behavior. We argue that scholars with administrative leadership functions who were not only scientifically but also organizationally central – in our case the director of research Jacob Marschak – played a crucial (...)
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  • Détente Science? Transformations of Knowledge and Expertise in the 1970s.Rüdiger Graf - 2017 - Centaurus 59 (1-2):10-25.
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  • Introduction: Perspectives on Cold War Science in Small European States.Matthias Heymann & Janet Martin-Nielsen - 2013 - Centaurus 55 (3):221-242.
    With this introduction we aim to illuminate Western Europe's place on the map of Cold War science and, specifically, to draw attention to the differences in and the diversity of Western European Cold War science in comparison to the United States. By discussing narratives of Cold War science in small states and asking how they fit into the European condition, we suggest that the fact of being a small state affects the conditions for and the scope of Cold War science. (...)
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  • In Accordance with a “More Majestic Order”: The New Math and the Nature of Mathematics at Midcentury.Christopher J. Phillips - 2014 - Isis 105 (3):540-563.
    ABSTRACT The “new math” curriculum, one version of which was developed in the 1950s and 1960s by the School Mathematics Study Group under the auspices of the National Science Foundation, occasioned a great deal of controversy among mathematicians. Well before its rejection by parents and teachers, some mathematicians were vocal critics, decrying the new curriculum because of the way it described the practice and history of the discipline. The nature of mathematics, despite the field’s triumphs in helping to win World (...)
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  • Five reasons for the use of network analysis in the history of economics.Herfeld Catherine & Malte Doehne - 2018 - Journal of Economic Methodology 25 (4):311-328.
    Network analysis is increasingly appreciated as a methodology in the social sciences. In recent years, it is also receiving attention among historians of science. History of economics is no exception in that researchers have begun to use network analysis to study a variety of topics, including collaborations and interactions in scientific communities, the spread of economic theories within and across fields, or the formation of new specialties in the discipline of economics. Against this backdrop, a debate is emerging about how (...)
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