The uncertain element 199
References
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Baker, T 2003, Containing the promise of insurance: Adverse selection and risk
classification, In Ericson, R.V & Doyle, A (eds), Risk and Morality, Toronto:
University of Toronto Press.
Barry, L & Charpentier, A 2020, ‘Personalization as a promise: Can Big Data
change the practice of insurance?’, Big Data & Society, vol. 7, no. 1,
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Cevolini, A & Esposito, E 2020, ‘From pool to profile: Social consequences of algorithmic prediction in insurance’, Big Data and Society, vol. 7, no. 2,
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Draper, N.A & Turow, J 2019, ‘The corporate cultivation of digital resignation’, New
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Ericson, R.V & Doyle, A 2004, Uncertain business: risk, insurance, and the limits of
knowledge. Toronto: University of Toronto Press.
Gorm, N & Shklovski, I 2019, ‘Episodic use: Practices of care in self-tracking’, New
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Grundstrom, C 2020, ‘Health data as enabler of digital transformation. A single
holistic case study of connected insurance’, PhD Thesis, University of Oulu.
Jeanningros, H 2020, ‘Conduire numériquement les conduites. Économie comportementale, objets connectés et prévention dans l’assurance privée française’,
Thèse doctorale, Sorbonne Université.
Jeanningros, H & Mcfall, L 2020, ‘The value of sharing: Branding and behaviour in
a life and health insurance company’, Big Data and Society, vol. 7, no. 2, pp. 1–15.
Lanier, J 2013, Who owns the future? USA: Simon & Schuster.
Lehtonen, T.K 2014, ‘Picturing how life insurance matters’, Journal of Cultural
Economy, vol. 7, no. 3, pp. 308–333.
Lehtonen, T.K & Liukko, J 2010, ‘Justifications for commodified security: The promotion of private life insurance in Finland 1945–90’, Acta Sociologica, vol. 53,
no. 4, pp. 371–386.
Lobo-Guerrero, L 2013, ‘Uberrima Fides, Foucault and the security of uncertainty’,
International Journal for the Semiotics of Law, vol. 26, no. 1, pp. 23–37.
Lomborg, S, Langstrup, H & Andersen, T.O 2020, ‘Interpretation as luxury: Heart
patients living with data doubt, hope, and anxiety’, Big Data & Society, vol. 7,
no. 1, pp. 1–15.
Lupton, D 2016, The quantified self: A sociology of self-tracking, Cambridge, UK:
Polity Press.
Lupton, D 2020, ‘‘Not the Real Me’: Social imaginaries of personal data profiling’,
Cultural Sociology, vol. 15, no. 1, pp. 3–21.
Lupton, D & Michael, M 2017, ‘‘Depends on who’s got the data’: Public understandings of personal digital dataveillance’, Surveillance & Society, vol. 15, no. 2,
pp. 254–268.
McFall, L 2014, Devising consumption: Cultural economies of insurance credit and
spending, London: Routledge.
McFall, L 2019, ‘Personalizing solidarity? The role of self-tracking in health insurance pricing’, Economy and Society, vol. 48, no. 1, pp. 52–76.
References
Ajana, B 2020, ‘Personal metrics: Users’ experiences and perceptions of self-tracking
practices and data’, Social Science Information, vol. 59, no. 4, pp. 654–678.
Baker, T 2003, Containing the promise of insurance: Adverse selection and risk
classification, In Ericson, R.V & Doyle, A (eds), Risk and Morality, Toronto:
University of Toronto Press.
Barry, L & Charpentier, A 2020, ‘Personalization as a promise: Can Big Data
change the practice of insurance?’, Big Data & Society, vol. 7, no. 1,
Booth, K & Harwood, A 2016, ‘Insurance as catastrophe: A geography of house and
contents insurance in bushfire-prone places’, Geoforum, vol. 69, pp. 44–52.
Cevolini, A & Esposito, E 2020, ‘From pool to profile: Social consequences of algorithmic prediction in insurance’, Big Data and Society, vol. 7, no. 2,
Draper, N.A & Turow, J 2019, ‘The corporate cultivation of digital resignation’, New
Media & Society, vol. 21, no. 8, pp. 1824–1839.
Ericson, R.V & Doyle, A 2004, Uncertain business: risk, insurance, and the limits of
knowledge. Toronto: University of Toronto Press.
Gorm, N & Shklovski, I 2019, ‘Episodic use: Practices of care in self-tracking’, New
Media & Society, vol. 21, no. 11–12, pp. 2505–2521.
Grundstrom, C 2020, ‘Health data as enabler of digital transformation. A single
holistic case study of connected insurance’, PhD Thesis, University of Oulu.
Jeanningros, H 2020, ‘Conduire numériquement les conduites. Économie comportementale, objets connectés et prévention dans l’assurance privée française’,
Thèse doctorale, Sorbonne Université.
Jeanningros, H & Mcfall, L 2020, ‘The value of sharing: Branding and behaviour in
a life and health insurance company’, Big Data and Society, vol. 7, no. 2, pp. 1–15.
Lanier, J 2013, Who owns the future? USA: Simon & Schuster.
Lehtonen, T.K 2014, ‘Picturing how life insurance matters’, Journal of Cultural
Economy, vol. 7, no. 3, pp. 308–333.
Lehtonen, T.K & Liukko, J 2010, ‘Justifications for commodified security: The promotion of private life insurance in Finland 1945–90’, Acta Sociologica, vol. 53,
no. 4, pp. 371–386.
Lobo-Guerrero, L 2013, ‘Uberrima Fides, Foucault and the security of uncertainty’,
International Journal for the Semiotics of Law, vol. 26, no. 1, pp. 23–37.
Lomborg, S, Langstrup, H & Andersen, T.O 2020, ‘Interpretation as luxury: Heart
patients living with data doubt, hope, and anxiety’, Big Data & Society, vol. 7,
no. 1, pp. 1–15.
Lupton, D 2016, The quantified self: A sociology of self-tracking, Cambridge, UK:
Polity Press.
Lupton, D 2020, ‘‘Not the Real Me’: Social imaginaries of personal data profiling’,
Cultural Sociology, vol. 15, no. 1, pp. 3–21.
Lupton, D & Michael, M 2017, ‘‘Depends on who’s got the data’: Public understandings of personal digital dataveillance’, Surveillance & Society, vol. 15, no. 2,
pp. 254–268.
McFall, L 2014, Devising consumption: Cultural economies of insurance credit and
spending, London: Routledge.
McFall, L 2019, ‘Personalizing solidarity? The role of self-tracking in health insurance pricing’, Economy and Society, vol. 48, no. 1, pp. 52–76.
