DigiGov Blog
DigiGov Blog
Let us share some of our thoughts on the governance of digital practices with you. On this page, we will reflect upon the most recent progress happening inside and outside of our research platform.
Publications by our platform members
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2020
Narayanasamy, S., Markina, V., Thorogood, A., Blazkova, A., Shabani, M., Knoppers, B. M., Prainsack, B., & Koesters, R. (2020). Genomic Sequencing Capacity, Data Retention, and Personal Access to Raw Data in Europe. Frontiers in Genetics, 11, Artikel 303. https://doi.org/10.3389/fgene.2020.00303
Mayer, K., Dobusch, L., Heimstädt, M., & Ross-Hellauer, T. (2020). Defining predatory journals: no peer review, no point. Nature, 580(7801), 29-29. Artikel 29. https://doi.org/10.1038/d41586-020-00911-x
Prainsack, B. (2020). The political economy of digital data: introduction to the special issue. Policy Studies, 41(5), 439-446. https://doi.org/10.1080/01442872.2020.1723519
Prainsack, B. (2020). Oil crisis: the political economy of digital data: Conclusion of the special issue. Policy Studies, 41(5), 563-566. https://doi.org/10.1080/01442872.2020.1723518
van den Heuvel, L., Dorsey, R. R., Prainsack, B., Post, B., Stiggelbout, A. M., Meinders, M. J., & Bloem, B. R. (2020). Quadruple Decision Making for Parkinson's Disease Patients: Combining Expert Opinion, Patient Preferences, Scientific Evidence, and Big Data Approaches to Reach Precision Medicine. Journal of Parkinson's disease, 10(1), 223-231. https://doi.org/10.3233/JPD-191712
Bomze, I., Rinaldi, F., & Zeffiro, D. (2020). Active Set Complexity of the Away-Step Frank--Wolfe Algorithm. SIAM Journal on Optimization, 30(3), 2470-2500. https://doi.org/doi.org/10.1137/19M1309419
McMahon, A., Buyx, A., & Prainsack, B. (2020). Big Data Governance Needs More Collective Responsibility: The Role of Harm Mitigation in the Governance of Data Use in Medicine and Beyond. Medical Law Review, 28(1), 155–182. Artikel fwz016. https://doi.org/10.1093/medlaw/fwz016
Forgó, N. (2020). Datenschutzrechtliche Fragestellungen des autonomen Fahrens. in B. H. Oppermann, & J. Stender-Vorwachs (Hrsg.), Autonomes Fahren: Technische Grundlagen, Rechtsprobleme, Rechtsfolgen (2 Aufl., S. 353-370). C.H.Beck.
Schlögl, L., & Sumner, A. (2020). Disrupted Development and the Future of Inequality in the Age of Automation. Palgrave Macmillan. https://doi.org/10.1007/978-3-030-30131-6
Mahrenbach, L. C., & Mayer, K. (2020). Framing Policy Visions of Big Data in Emerging States. Canadian Journal of Communication, 45(1). https://zenodo.org/record/3688548
Forgó, N. (2020). „In technology, whatever can be done, will be done?“ – Gibt es (datenschutz-)rechtliche Grenzen des Einsatzes von KI und, wenn ja, wo verlaufen diese? in S. Reindl-Krauskopf, & C. Grafl (Hrsg.), Künstliche Intelligenz - Fluch oder Segen: 8. ALES-Tagung 2019 (S. 91-94). Verlag Österreich.
Corrales Compagnucci, M., Forgó, N., Kono , T., Teramoto, S., & Vermeulen, E. P. M. (Hrsg.) (2020). Legal Tech and the New Sharing Economy. (1 Aufl.) Springer. Perspectives in Law, Business and Innovation
Forgó, N., & Somek, A. (2020). Nachpositivistisches Rechtsdenken. in S. Buckel, R. Christensen, & A. Fischer-Lescano (Hrsg.), Neue Theorien des Rechts (3 Aufl.). UTB.
Mayer, K. (2020). Open Science Diplomacy. in M. Young, T. Flink, & E. Dall (Hrsg.), Science Diplomacy in the Making: Case based insights from the S4D4C project (S. 133-215) https://www.s4d4c.eu/wp-content/uploads/2020/03/special.pdf
Prainsack, B. (2020). The value of healthcare data: To nudge, or not? Policy Studies, 41(5), 547-562. https://doi.org/10.1080/01442872.2020.1723517
Aarestrup, F. M., Albeyatti, A., Armitage, W. J., Auffray, C., Augello, L., Balling, R., Benhabiles, N., Bertolini, G., Bjaalie, J. G., Black, M., Blomberg, N., Bogaert, P., Bubak, M., Claerhout, B., Clarke, L., De Meulder, B., D'Errico, G., Di Meglio, A., Forgo, N., ... Van Oyen, H. (2020). Towards a European health research and innovation cloud (HRIC). Genome Medicine, 12(1), Artikel 18. https://doi.org/10.1186/s13073-020-0713-z
Prainsack, B., & Pot, M. (2020). Von Präzision zu automatisierter Medizin? Digitalisierung im Gesundheitswesen. in M. Hengstschläger (Hrsg.), Digitaler Wandel und Ethik (S. 250-273). Ecowin.
Forgó, N. (2020). Zur Beweislastumkehr beim Schadenersatz wegen unzulässiger Datenverarbeitung: Anmerkungen zu OGH 27. 11. 2019, 6 Ob 217/19h. Zeitschrift für Finanzmarktrecht, 7(146).
2019
Pot, M., Spahl, W., & Prainsack, B. (2019). The Gender of Biomedical Data: Challenges for Personalised and Precision Medicine. Somatechnics, 9(2-3), 170-187. https://doi.org/10.3366/soma.2019.0278
Mayer, K. (2019). Soziale Sensoren: Zur Epistemologie der sozialen Fernerkundung. springerin. Hefte für Gegenwartskunst, 2019(4). https://www.springerin.at/2019/4/soziale-sensoren/
Samuel, G., & Prainsack, B. (2019). Civil society stakeholder views on forensic DNA phenotyping: Balancing risks and benefits. Forensic Science International: Genetics, 43, Artikel 102157. https://doi.org/10.1016/j.fsigen.2019.102157
Fiske, A., Prainsack, B., & Buyx, A. (2019). Meeting the needs of underserved populations: setting the agenda for more inclusive citizen science of medicine. Journal of Medical Ethics, 45(9), 617-622. https://doi.org/10.1136/medethics-2018-105253
Fiske, A., Prainsack, B., & Buyx, A. (2019). Data Work: Meaning-Making in the Era of Data-Rich Medicine. Journal of Medical Internet Research, 21(7), Artikel e11672. https://doi.org/10.2196/11672
Mayer, K., & Mager, A. (2019). Body Data - Data Body: Tracing ambiguous trajectories of data bodies between empowerment and social control in the context of health. Momentum Quaterly, 8(2). https://doi.org/10.15203/momentumquarterly.vol8.no2.p95-108
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