My research focuses on the epistemic and social implications of datafication in science and medicine, with special focus on personalized or precision medicine. My research interests also include discussions on how to deal with the complexity of human disease through animal models, patient-derived organoids and organ-on-chip technologies.
I have a background in philosophy and biology and a PhD in Science Studies from Aarhus University. The PhD project explored the philosophical implications of research strategies in systems biology, with special focus on the quest for general principles of biological organization and the application of engineering approaches to study living systems. In the academic year of 2014/2015 I was a postdoctoral fellow at the Center for Philosophy of Science at University of Pittsburgh. I currently work as assistant professor at the Section for History and Philosophy of Science at the Department of Science Education, and I’m affiliated with the research project “Personalized Medicine in the Welfare State”, MeInWe, at the Center for Medical Science and Technology Studies in Copenhagen (PI: Mette Nordahl Svendsen). Since February 2021, I hold a 20% research position at the University of Oslo as a member of the HYBRIDA research project.
Green, S., Dam, M. S. & Svendsen, M. N. (in press). Patient-derived organoids in precision oncology - towards a science of and for the individual? In Beneduce, C. and Bertolaso, M. Personalized Medicine in the Making: Philosophical Perspectives from Biology to Healthcare. Springer.
Green, S., Dam, M. S. & Svendsen, M. N. (2021). Mouse avatars of human cancers: The temporality of translation in precision oncology. History and Philosophy of the Life Sciences, 43(27), 1-22.
Green, S. & Hillersdal, L. (2021). Aging biomarkers and the measurement of health and risk. History and Philosophy of the Life Sciences 43(28). https://doi.org/10.1007/s40656-021-00367-w
Green, S., Carusi, A. & Hoeyer, K. (2019). Plastic diagnostics: The remaking of disease and evidence in personalized medicine. Social Science & Medicine. Published online: https://doi.org/10.1016/j.socscimed.2019.05.023
Vogt, H., Green, S., Ekstrøm, C. & Brodersen, J. (2019). How precision medicine and screening with big data could increase overdiagnosis. BMJ, 366: I5270.
Vogt, H., Green, S. & Brodersen, J. (2018). Precision medicine in the clouds. Nature biotechnology, 36(8), 678-680.
Green, S. & Vogt, H. (2016). Personalizing medicine: Disease prevention in silico and in socio. Humana.Mente Journal of Philosophical Studies, 30, 105-145.