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Presentation . 2021
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Hacking's Human Kinds and the Ethics of Participatory Science

Authors: Ismael Kherroubi Garcia; Georgia Aitkenhead; Susanna Fantoni;

Hacking's Human Kinds and the Ethics of Participatory Science

Abstract

{"references": ["Bargiela, S., Steward, R. & Mandy, W. (2016) The Experiences of Late-diagnosed Women with Autism Spectrum Conditions: An Investigation of the Female Autism Phenotype, J Autism Dev Disord, 46, 3281\u20133294, DOI: 10.1007/s10803-016-2872-8", "Fricker, M. (2007) Epistemic Injustice: Power and the Ethics of Knowing, Oxford Scholarship Online, DOI: 10.1093/acprof:oso/9780198237907.001.0001", "Hacking, I. (1996) The Looping Effects of Human Kinds, in Causal Cognition: A Multidisciplinary Debate, by Sperber, D., Premack, D. & Premack, A.J. (eds.), Oxford: Oxford University Press, DOI: 10.1093/acprof:oso/9780198524021.003.0012", "Lippmann, W. (1922) Public Opinion, New York: Harcourt, Brace and Company.", "Whitaker et al. (2021) Autistica Citizen Science, [Available online] https://github.com/alan-turing-institute/AutisticaCitizenScience"]}

We make the case that participatory approaches to the social sciences mitigate the risk of epistemic injustice. We define the social sciences as those that study what Hacking calls "human kinds", which are subject to "looping effects". We argue that the line between theory and practice in the social sciences is blurred and theoretical frameworks and definitions can feed into what Fricker calls "epistemic injustice". We discuss the case of epistemic injustice that autistic females are subject to due to scientific notions that feed into widely held stereotypes. We finally introduce how participatory approaches in the Autistica Project mitigate the risk of epistemic injustice in autism research.

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Keywords

Austism, Participatory Science, Philosophy of Science

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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