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  1. What difference does quantity make? On the epistemology of Big Data in biology.Sabina Leonelli - 2014 - Big Data and Society 1 (1):2053951714534395.
    Is Big Data science a whole new way of doing research? And what difference does data quantity make to knowledge production strategies and their outputs? I argue that the novelty of Big Data science does not lie in the sheer quantity of data involved, but rather in the prominence and status acquired by data as commodity and recognised output, both within and outside of the scientific community and the methods, infrastructures, technologies, skills and knowledge developed to handle data. These developments (...)
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  • Causality: Philosophical theory meets scientific practice.Phyllis McKay Illari & Federica Russo - 2014 - Oxford, UK: Oxford University Press. Edited by Federica Russo.
    Scientific and philosophical literature on causality has become highly specialised. It is hard to find suitable access points for students, young researchers, or professionals outside this domain. This book provides a guide to the complex literature, explains the scientific problems of causality and the philosophical tools needed to address them.
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  • (1 other version)Representing and Intervening.Ian Hacking - 1987 - Revue de Métaphysique et de Morale 92 (2):279-279.
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  • (1 other version)Representing and Intervening.Ian Hacking - 1983 - British Journal for the Philosophy of Science 35 (4):381-390.
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  • Models as Mediators: Perspectives on Natural and Social Science.Mary S. Morgan & Margaret Morrison (eds.) - 1999 - Cambridge University Press.
    Models as Mediators discusses the ways in which models function in modern science, particularly in the fields of physics and economics. Models play a variety of roles in the sciences: they are used in the development, exploration and application of theories and in measurement methods. They also provide instruments for using scientific concepts and principles to intervene in the world. The editors provide a framework which covers the construction and function of scientific models, and explore the ways in which they (...)
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  • Pharmaceutical Matters.Andrew Barry - 2005 - Theory, Culture and Society 22 (1):51-69.
    Drawing on the work of Bernadette Bensaude-Vincent and Isabelle Stengers on the history of chemistry, this article develops the idea that drug molecules can be understood as ‘informed materials’. This study argues that molecules should not be viewed as discrete objects, but as constituted in their relations to complex informational and material environments. Through a case study of commercial pharmaceutical R&D, the article examines the role of combinatorial and computational chemistry in enriching the informational and material environment of potential drug (...)
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  • The Fifth Branch: Science Advisers as Policymakers.Sheila Jasanoff - 1990 - Harvard Univ Press.
    These are just some of the many controversial and timely questions that Sheila Jasanoff asks in this study of the way science advisers shape federal policy.
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  • Causality and causal modelling in the social sciences.Federica Russo - 2009 - Springer, Dordrecht.
    The anti-causal prophecies of last century have been disproved. Causality is neither a ‘relic of a bygone’ nor ‘another fetish of modern science’; it still occupies a large part of the current debate in philosophy and the sciences. This investigation into causal modelling presents the rationale of causality, i.e. the notion that guides causal reasoning in causal modelling. It is argued that causal models are regimented by a rationale of variation, nor of regularity neither invariance, thus breaking down the dominant (...)
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  • Regulatory Toxicology in Controversy.David Demortain - 2013 - Science, Technology, and Human Values 38 (6):727-748.
    This article examines the way in which public controversies affect regulatory science. It describes the controversy that unfolded in Europe around the use of the ninety-day rat-feeding tests for the risk assessment of genetically modified plants. This type of test had been criticized for almost two decades by toxicologists, nongovernmental organizations, and industry alike for its inability to capture the specific health effects of GM plants. But GM risk assessment experts showed great reluctance to move toward a more systematic use (...)
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