4S/EASST Prague 2020: CfP track "Flows and overflows of personal health data"
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Tempini, Niccolo
Dec 17, 2019, 6:27:31 AM12/17/19
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Dear all,
We are convening an Open Panel at the next 4S/EASST conference (Panel #66) titled "Flows and overflows of personal health data” that we hope will be of interest to some.
Abstract below.
Further information on tracks and submission https://www.easst4s2020prague.org/accepted-open-panels-all-abstracts/
Deadline for all papers is 29th February 2020.
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With the explosion of digital technologies that generate massive sets of personal data, from internet networks and big data infrastructures, to wearable devices and sensors, many actors see the analytical potentials of these collections for healthcare and medical research and knowledge production. These data circulate across domains, amongst different types of actors – e.g. academic scientists, corporations, non-profit organizations, individual data subjects, and patient groups – and according to different logics of exchange – e.g. donation, sharing, commodification, and appropriation (Ebeling 2016; Sharon 2018; Tempini and Teira 2019). The promises for the increased circulation of health data are many, including: greater patient empowerment, better population health, and improved interoperability ensuring continuity of care, as well as less health-specific outcomes such as national economic growth. But so are its potential harms, including risks (e.g. privacy breaches), epistemic uncertainties (e.g. questions of data quality and algorithmic transparency), disruptions to existing research standards and protocols (e.g. the conduct of clinical trials), as well as wider concerns regarding the generation of profit based on donated or otherwise publicly available personal health data, and the emergence of new power asymmetries and conflicts of interest between data subjects, data users, and new data intermediaries.
This track invites papers that explore the complex dynamics of the increasing circulation of health data. In particular we seek analyses asking not only how benefits are construed and by whom, and what harms may result, but also what frameworks currently exist for governing flows and what alternative frameworks might be imagined.
Dr Niccolò Tempini
Senior Lecturer in Data Studies & Turing Fellow
Department of Sociology, Philosophy and Anthropology
University of Exeter
With the explosion of digital technologies that generate massive sets of personal data, from internet networks and big data infrastructures, to wearable devices and sensors, many actors see the analytical potentials of these collections for healthcare and medical research and knowledge production. These data circulate across domains, amongst different types of actors – e.g. academic scientists, corporations, non-profit organizations, individual data subjects, and patient groups – and according to different logics of exchange – e.g. donation, sharing, commodification, and appropriation (Ebeling 2016; Sharon 2018; Tempini and Teira 2019). The promises for the increased circulation of health data are many, including: greater patient empowerment, better population health, and improved interoperability ensuring continuity of care, as well as less health-specific outcomes such as national economic growth. But so are its potential harms, including risks (e.g. privacy breaches), epistemic uncertainties (e.g. questions of data quality and algorithmic transparency), disruptions to existing research standards and protocols (e.g. the conduct of clinical trials), as well as wider concerns regarding the generation of profit based on donated or otherwise publicly available personal health data, and the emergence of new power asymmetries and conflicts of interest between data subjects, data users, and new data intermediaries.
This track invites papers that explore the complex dynamics of the increasing circulation of health data. In particular we seek analyses asking not only how benefits are construed and by whom, and what harms may result, but also what frameworks currently exist for governing flows and what alternative frameworks might be imagined.
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Convened by Mary Ebeling, Drexel University; Tamar Sharon, iHub, Radboud University Nijmegen; Niccolò Tempini, University of Exeter, Egenis
Please do get in touch if you have any questions: mf...@drexel.edu T.Sh...@ftr.ru.nl N.Te...@exeter.ac.uk
Best wishes
N
>>÷<>÷<>÷<>÷<>÷<>÷<>÷<>÷<>÷<>÷<>÷<>÷<>÷<>÷<<
Dr Niccolò Tempini
Senior Lecturer in Data Studies & Turing Fellow
Department of Sociology, Philosophy and Anthropology
University of Exeter
Alan Turing Institute
n.te...@exeter.ac.uk
ntem...@turing.ac.uk
@tmpncl
www.tempini.info
www.turing.ac.uk/people/researchers/niccolo-tempini
n.te...@exeter.ac.uk
ntem...@turing.ac.uk
@tmpncl
www.tempini.info
www.turing.ac.uk/people/researchers/niccolo-tempini
>>÷<>÷<>÷<>÷<>÷<>÷<>÷<>÷<>÷<>÷<>÷<>÷<>÷<>÷<<
Dr Niccolò Tempini
Senior Lecturer in Data Studies & Turing Fellow
Department of Sociology, Philosophy and Anthropology
University of Exeter
Alan Turing Institute
n.te...@exeter.ac.uk
ntem...@turing.ac.uk
@tmpncl
www.tempini.info
www.turing.ac.uk/people/researchers/niccolo-tempini
n.te...@exeter.ac.uk
ntem...@turing.ac.uk
@tmpncl
www.tempini.info
www.turing.ac.uk/people/researchers/niccolo-tempini
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