This is our suggested reading list, which was last updated in February 2024. It includes a selection of books and papers we used in our own research. Some of them are not primarily related to digital health but we nevertheless think that they provide good background knowledge.
Of course, we used many more papers and books in our research and this is just a small selection. This list expands and changes over time.
For our team’s updated publications, please click here
Books and books chapters
- Benjamin, R. (2019). Race after technology: Abolitionist tools for the new Jim code. Polity.
- Costanza-Chock, S. (2020). Design Justice: Community-Led Practices to Build the Worlds We Need
- Costanza-Chock, Sasha. (2020). Design Justice: Community-Led Practices to Build the Worlds We Need.
- Haddow, G. (2021). Embodiment and everyday cyborgs: Technologies that alter subjectivity.
- Hoeyer, K. (2023). Data Paradoxes: The Politics of Intensified Data Sourcing in Contemporary Healthcare. MIT Press.
- Kukutai, T., & Tazlor, J. (Eds.). (2016). Indigenous Data Sovereignty: Toward an agenda . ANU Press.
- Langton R. (2007) Miranda Fricker Epistemic Injustice: Power and the Ethics of Knowing. Oxford, Oxford University Press. 2010;25(2):459-464.
- Lupton, Deborah. (2016) „Digitized Health Promotion: Risk and Personal Responsibility for Health andIllness in the Web 2.0 Era“. In To Fix or To Heal, Joseph Davis und Ana Marta González, 152–76. Biopolitics. NYU Press.
- Mackenzie, C. (Ed.). (2014). Vulnerability: New essays in ethics and feminist philosophy. (Studies in Feminist Philosophy). Oxford University Press.
- Marres, N. (2016). Material participation: Technology, the environment and everyday publics. Springer.
- Mol, A. (2002). The body multiple: Ontology in medical practice. Duke University Press.
- Mol, A. M., & Law, J. (2002). Complexity in Science, Technology and Medicine.
- Oudshoorn, N. (2020). Resilient cyborgs: Living and dying with pacemakers and defibrillators. Springer Nature.
- Oudshoorn, N., & Pinch, T. (2003). How users matter: the co-construction of users and technology (inside technology). The MIT Press
- Perez, C. C. (2019). Invisible women: Data bias in a world designed for men. Abrams.
- Powers, Madison & Faden, Ruth (2008). Social Justice: The Moral Foundations of Public Health and Health Policy. Oup Usa.
- Smith, L. T. (1999). Decolonizing Methodologies: Research and Indigenous Peoples. Zed Books.
- Tronto, J. C., & Fisher, B. (1990). Toward a feminist theory of caring. In Circles of care (pp. 36-54). Suny Press.
- Widdows H. (2013) The Connected Self: The Ethics and Governance of the Genetic Individual. Cambridge University Press;
- Widdows, H. (2018). Perfect Me: Beauty as an Ethical Ideal. Princeton University Press.
- Wilson J. (2021) Philosophy for Public Health and Public Policy: Beyond the Neglectful State. Oxford University Press.
- Young IM. (2010) Responsibility for Justice. Oxford University Press.
- Zuboff, S. (2019). The age of surveillance capitalism. Profile Books.
Journal articles
- Abimbola, F., Asthana, S., Cortes, C., Guinto, R., Jumbam, D., Louskieter, L., Kabubei, K., Munshi, S., Muraya, K., Okumu, F., et al (2021). Addressing power asymmetries in global health: Imperatives in the wake of the COVID-19 pandemic. PLoS Medicine, 18(4), e1003604
- Abimbola, S. (2023). Knowledge from the global South is in the global South. Journal of Medical Ethics, 49 (5), 337-338.
- Albrecht UV, Fangerau H (2015). Do Ethics Need to be Adapted to mHealth? Stud Health Technol Inform. 213:219-22.
- Bhakuni, H., & Abimbola, S. (2021). Epistemic injustice in academic global health. The Lancet Global Health 9(10), e1465-e1470.
- Brown, R. C., & Savulescu, J. (2019). Responsibility in healthcare across time and agents. Journal of Medical Ethics, 45(10), 636-644.
- Burrell, J., & Fourcade, M. (2021). The society of algorithms. Annual Review of Sociology, 47, 213-237.
- Clarke, A. E., Shim, J. K., Mamo, L., Fosket, J. R., & Fishman, J. R. (2003). Biomedicalization: Technoscientific transformations of health, illness, and US biomedicine. American sociological review, 161-194.
- Cvrkel T. (2018). The ethics of mHealth: Moving forward. J Dent. Jul;74 Suppl 1:S15-S20.
- Dokumaci, A. (2020). People as affordances: Building disability worlds through care intimacy. Current Anthropology, 61(S21), S97-S108.
- Epstein, S. (2004). Bodily differences and collective identities: The politics of gender and race in biomedical research in the United States. Body & Society, 10(2-3), 183-203.
- Essén A, Stern AD, Haase CB, Car J, Greaves F, Paparova D, Vandeput S, Wehrens R, Bates DW. (2022) Health app policy: international comparison of nine countries’ approaches. NPJ Digit Med. 18;5(1):31.
- Figueroa CA, Luo T, Aguilera A, Lyles CR. (2021) The need for feminist intersectionality in digital health. Lancet Digit Health. 3(8):e526-e533.
- Figueroa CA, Murayama H, Amorim PC, White A, Quiterio A, Luo T, Aguilera A, Smith ADR, Lyles CR, Robinson V, von Vacano C. (2022) Applying the Digital Health Social Justice Guide. Front Digit Health. 28;4:807886.
- Forlano, L. (2016). Hacking the Feminist Disabled Body. Journal of Peer Production, iss. 8.
- Haraway, D. (1988). Situated Knowledges: The Science Question in Feminism and the Privilege of Partial Perspective. Feminist Studies, 14(3), 575–599.
- Hedgecoe, A. M. (2004). Critical bioethics: beyond the social science critique of applied ethics. Bioethics, 18(2), 120-143.
- Hoeyer, K. (2005). Studying ethics as policy: The naming and framing of moral problems in genetic research. Current Anthropology, 46(S5), S71-S90.
- Jethani, S. (2015). Mediating the body: Technology, politics and epistemologies of self. Communication, Politics & Culture, 47(3), 34-43.
- Kaziunas, E., Ackerman, M. S., Lindtner, S., & Lee, J. M. (2017). Caring through data: Attending to the social and emotional experiences of health datafication. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (pp. 2260-2272).
- Kreitmair, K. V., Cho, M. K., & Magnus, D. C. (2017). Consent and engagement, security, and authentic living using wearable and mobile health technology. Nature biotechnology, 35(7), 617-620.
- Kuntsman A, Miyake E, Martin S. (2019) Re-thinking Digital Health: Data, Appisation and the (im)possibility of ‘Opting out‘. Digit Health, 5.
- Latour, B. (2004). How to talk about the body? The normative dimension of science studies. Body & society, 10(2-3), 205-229.
- Ledford H. (2019) Millions of black people affected by racial bias in health-care algorithms. Nature. 574(7780):608-609.
- Lipworth, W., & Axler, R. (2016). Towards a bioethics of innovation. Journal of medical ethics, 42(7), 445-449.
- Lucivero, F., & Jongsma, K. R. (2018). A mobile revolution for healthcare? Setting the agenda for bioethics. Journal of Medical Ethics, 44(10), 685-689.
- Lupton, D. (2018). ‘I just want it to be done, done, done!’ food tracking apps, affects, and agential capacities. Multimodal Technologies and Interaction, 2(2), 29.
- Pols, J. (2014). Knowing patients: turning patient knowledge into science. Science, Technology, & Human Values, 39(1), 73-97.
- Schaefer GO, Ballantyne A. (2022) Ethics of digital contact tracing wearables. J Med Ethics. Sep;48(9):611-615.
- Shaw, J. A., & Donia, J. (2021). The sociotechnical ethics of digital health: a critique and extension of approaches from bioethics. Frontiers in digital health, Sep 23;3:725088
- Sharon T. (2021) Blind-sided by privacy? Digital contact tracing, the Apple/Google API and big tech’s newfound role as global health policy makers. Ethics Inf Technol. 23(Suppl 1):45-57.
- Sharon, T. (2018). When digital health meets digital capitalism, how many common goods are at stake? Big Data & Society. 5(2).
- Sjoding, M. W., Dickson, R. P., Iwashyna, T. J., Gay, S. E., & Valley, T. S. (2020). Racial bias in pulse oximetry measurement. New England Journal of Medicine, 383(25), 2477-2478.
- TallBear, K. (2014). Standing with and speaking as faith: A feminist-indigenous approach to inquiry [Research note]. Journal of Research Practice, 10(2), Article N17.
- Wachter, S., Mittelstadt, B., & Russell, C. (2021). Bias Preservation in Machine Learning: The Legality of Fairness Metrics Under EU Non-Discrimination Law. West Virginia Law Review, 123(3), 735.
