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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2023
Steindl, E. (2023). Safeguarding privacy and efficacy in e-mental health: policy options in the EU and Australia. International Data Privacy Law, 13(3), 207-224. https://doi.org/10.1093/idpl/ipad009
Forgó, N., Johnson, E., Kazeeva, I., & Steindl, E. (2023). Big Data, AI, and Health Data: between National, European, and International Legal Frameworks. in A. Zwitter, & O. Gstrein (Hrsg.), Handbook on the Politics and Governance of Big Data and Artificial Intelligence Elgar. https://doi.org/10.4337/9781800887374.00024
Steindl, E., Küchli, H., & Thurin, O. (2023). KI-Verordnung revisited (Teil 2): Der Rat zeigt sich vorsichtig innovations- und unternehmerfreundlich. Österreichisches Recht der Wirtschaft, 2023(5), Artikel RdW 2023/231.
Mayer, K., & Pfeffer, J. (2023). Critical data and algorithm studies: Editorial. Frontiers in Big Data, 6, Artikel 1193412. https://doi.org/10.3389/fdata.2023.1193412
Steindl, E., Küchli, H., & Thurin, O. (2023). KI-Verordnung revisited (Teil 1): Der Rat einigt sich auf einen gemeinsamen Standpunkt. Österreichisches Recht der Wirtschaft, 2023(4), Artikel RdW 2023/181.
Bomze, I., & Peng, B. (2023). Conic formulation of QPCCs applied to truly sparse QPs. Computational Optimization and Applications: an international journal, 84(3), 703-735. https://doi.org/10.1007/s10589-022-00440-5
Blasiak, R., Jouffray, J.-B., Amon, D. J., Claudet, J., Dunshirn, P., Jørgensen, P. S., Pranindita, A., Wabnitz, C. C. C., Zhivkoplias, E., & Österblom, H. (2023). Making marine biotechnology work for people and nature. Nature Ecology & Evolution, 7(4), 482-485. https://doi.org/10.1038/s41559-022-01976-9
Zimmermann, B. M., Paul, K. T., Araújo, E. R., Buyx, A., Ferstl, S., Fiske, A., Kraus, D., Marelli, L., McLennan, S., Porta, V., Prainsack, B., Radhuber, I. M., & Saxinger, G. (2023). The social and socio-political embeddedness of COVID-19 vaccination decision-making: A five-country qualitative interview study from Europe. Vaccine, 41(12), 2084-2092. https://doi.org/10.1016/j.vaccine.2023.02.012
Serbe-Kamp, É., Bemme, J., Pollak, D., & Mayer, K. (2023). Open Citizen Science: fostering open knowledge with participation. Research Ideas and Outcomes, 9. https://doi.org/10.3897/rio.9.e96476
Bohmann, S., & Kalleitner, F. (2023). Subjective Inequity Aversion: Unfair Inequality, Subjective Well-Being, and Preferences for Redistribution. https://doi.org/10.31235/osf.io/g8arw
Forgó, N. (2023). Der European Health Data Space im Kontext der MMR. Ein Zwischenruf. MMR - Zeitschrift für IT-Recht und Digitalisierung, (1), 3-5.
Kieslich, K., & Prainsack, B. (2023). Solidarity in Times of a Pandemic: Everyday Practices and Prioritization Decisions in Light of the Solidarity Concept. in Pandemics and Ethics Development – Problems – Solutions (S. 25-37). Springer-Verlag Berlin-Heidelberg. https://doi.org/10.1007/978-3-662-66872-6_3
Kalleitner, F., & Bohmann, S. (2023). The Inequity Z: Income Fairness Perceptions in Europe across the Income Distribution. Socius, 9. https://doi.org/10.1177/23780231231167138
Forgó, N. (2023). Zur Regulierung Künstlicher Intelligenz, auch in der Strafverfolgung. Monatsschrift für Kriminologie und Strafrechtsreform, 106(1), 44-49. https://doi.org/10.1515/mks-2022-0028
Sideri, K., & Prainsack, B. (2023). COVID-19 contact tracing apps and the governance of collective action: social nudges, deliberation, and solidarity in Europe and beyond. Policy Studies, 44(1), 132-153. https://doi.org/10.1080/01442872.2022.2130884
2022
Forgó, N., & Feiler, L. (2022). EU-DSGVO und DSG: EU-Datenschutz-Grundverordnung und Datenschutzgesetz - Kommentar. (2 Aufl.) Verlag Österreich.
Faymann, L., Korenjak Lalovic, E., & Forgó, N. (2022). “No Data Service” – Internet shutdowns and human rights in view of the recent restrictions in Iran. in B. Hellge (Hrsg.), Österreichische Liga für Menschenrechte: Befund 2022 (S. 14-15). Domus Verlag. https://liga.or.at/wp-content/uploads/2022/12/Liga_Befund-2022_WEB_neu.pdf
Attwell, K., Rizzi, M., & Paul, K. T. (2022). Consolidating a research agenda for vaccine mandates. Vaccine, 40(51), 7353-7359. https://doi.org/10.1016/j.vaccine.2022.11.008
Paul, K. T., Vanderslott, S., & Gross, M. (2022). Institutionalised ignorance in policy and regulation. Science as Culture, 31(4), 419-432. https://doi.org/10.1080/09505431.2022.2143343
Zimmermann, B., Wagenaar, H., Kieslich, K., Prainsack, B., Meyers, G., Buyx, A., El-Sayed, S., Fiske, A., Galasso, I., Geiger, S., Hangel, N., Horn, R., Johnson, S., Kuiper, J., Lucivero, F., McLennan, S., Paul, K. T., Pot, M., Radhuber, I., ... Weiss, E. (2022). Democratic research: Setting up a research commons for a qualitative, comparative, longitudinal interview study during the COVID-19 pandemic. SSM. Qualitative research in health, 2(2), Artikel 100158. https://doi.org/10.1016/j.ssmqr.2022.100158
Vadrot, A., Ruiz Rodriguez, S. C., Brogat, E., Dunshirn, P., Langlet, A., Tessnow-von Wysocki, I., & Wanneau, K. (2022). Towards a reflexive, policy-relevant and engaged ocean science for the UN decade: A social science research agenda. Earth System Governance, 14, 1-8. Artikel 100150. https://doi.org/10.1016/j.esg.2022.100150
Prainsack, B., El-Sayed, S., Forgó, N., Szoszkiewicz, Ł., & Baumer, P. (2022). White Paper: Data Solidarity. The Lancet & Financial Times Commission. https://www.governinghealthfutures2030.org/wp-content/uploads/2022/12/DataSolidarity.pdf
Prainsack, B., El-Sayed, S., Forgó, N., Szoszkiewicz, Ł., & Baumer, P. (2022). Data solidarity: a blueprint for governing health futures. The Lancet. Digital Health, 4(11), e773-e774. https://doi.org/10.1016/S2589-7500(22)00189-3
Prainsack, B., & Forgo, N. (2022). Why paying individual people for their health data is a bad idea comment. Nature Medicine, 28(10), 1989-1991. https://doi.org/10.1038/s41591-022-01955-4
Barud, K., Wagner, M.-C., & Forgó, N. (2022). Active Informed Consent to Boost the Application of Machine Learning in Medicine. https://doi.org/10.48550/arXiv.2210.08987
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