HPS Virtual Conversation - Calculating Trust

Duration: 1 hour 40 mins

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Description:	Trust is a central category in the social history of science and philosophy of scientific practice. It is far from obvious that trust should be placed in the veracity and relevance of scientific claims in political decision processes, especially if one keeps in mind that scepticism and pluralism are sometimes highly valued by scientists themselves. This virtual conversation will question the epistemological, cultural and political settings that generate trust in knowledge claims, or else lead to its breakdown. Particular attention will be paid to disciplines that rely on statistical modelling, since these can be seen as trading in uncertainty and the calculability of trust.

Description:

Trust is a central category in the social history of science and philosophy of scientific practice. It is far from obvious that trust should be placed in the veracity and relevance of scientific claims in political decision processes, especially if one keeps in mind that scepticism and pluralism are sometimes highly valued by scientists themselves. This virtual conversation will question the epistemological, cultural and political settings that generate trust in knowledge claims, or else lead to its breakdown. Particular attention will be paid to disciplines that rely on statistical modelling, since these can be seen as trading in uncertainty and the calculability of trust.


Created:	2020-06-10 15:14
Collection:	Virtual Conversations
Publisher:	University of Cambridge
Copyright:	University of Cambridge
Language:	eng (English)


Abstract:	Trust is a central category in the social history of science and philosophy of scientific practice. It is far from obvious that trust should be placed in the veracity and relevance of scientific claims in political decision processes, especially if one keeps in mind that scepticism and pluralism are sometimes highly valued by scientists themselves. This virtual conversation will question the epistemological, cultural and political settings that generate trust in knowledge claims, or else lead to its breakdown. Particular attention will be paid to disciplines that rely on statistical modelling, since these can be seen as trading in uncertainty and the calculability of trust. Speakers: Stephanie Dick (University of Pennsylvania) Sabina Leonelli (University of Exeter) Staffan Müller-Wille (University of Cambridge) Ted Porter (UCLA) Chair: Dániel Margócsy

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