• Le 08 mars 2021
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  • Deadline: March 8, 2021 –  Abstracts for papers, closed panels, making & doing, screenings due

Cet appel à communication pour un panel est co-organisé par Margo Bernelin (DCS) avec Marie Le Clenche Piel (CNRS - Centre d'Etude des Mouvements Sociaux), Adeline Perrot ( Ethox Centre - University of Oxford)

The Prediction Factor: Medical Decision in the Age of Big Data
Cet appel à communication pour un panel est organisé pour la conférence annuelle de l'association The Society for Social Studies of Science, conférence qui se tiendra du 6 au 8 octobre 2021.
=> Deadline : avant le 8 mars 2021

Healthcare professionals are making increasing use of decision-making support systems. Those tools thrive on the accumulation of socio-demographic and medical data. Ever more detailed databases allow the actors to refine and accelerate diagnoses. Computer-assisted analysis of a large number of clinical studies offer the possibility of optimizing the use of health resources (drugs, organs, vaccines, tests, hospitalizations) by anticipating reactions to treatments and personalizing care. The creation of large national databases dedicated to Covid-19 demonstrate that, more than ever, big data are thought to be the future of healthcare, especially when uncertainty dominates debates.
The use of big data and predictive tools in health raises many questions at the articulation of socio-technical, legal and ethical levels. Among them: What are the impacts of predictive devices on patients' care trajectories? What do they imply in terms of equal access to treatments, informed choice and protection of personal data? To what extent should predictive tools (using algorithms, genomic sequencing etc.) and those who design them be allowed to control/impact medical decisions?
This panel seeks to create a dialogue among researchers interested in the use of big data to manage health, in the construction of data processing tools for AI purposes, as well as in the regulation of data access. Whether the papers are based on quantitative or qualitative research, they will be invited to shed light on the impacts of big data on health practices, individual futures, especially for minority groups, and collective imaginary.