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
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.
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), [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. [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
Paspalj, F., & Forgó, N. (2022). Die Umsetzung der Urheberrechtsrichtlinie in Österreich. in E. Hoffberger-Pippan, R. Ladeck, & P. Ivankovics (Hrsg.), Digitalisierung und Recht: Jahrbuch 22 (S. 53-69).
Vadrot, A. B. M., & Ruiz Rodríguez, S. C. (2022). Digital Multilateralism in Practice: Extending Critical Policy Ethnography to Digital Negotiation Sites. International Studies Quarterly, 66(3), [sqac051]. https://doi.org/10.1093/isq/sqac051
Mayer, K., Schürz, S., Kieslinger, B., & Schaefer, T. (2022). Editorial: Participatory Evaluation and Impact Assessment in Citizen Science. Plattform Forschungs- und Technologieevaluierung , (54), 5-9. https://doi.org/10.22163/fteval.2022.566
Forgó, N., & Wittmann-Tiwald, M. (2022). Schlussbericht der Abteilung „Digitalisierung des Rechts“. 21. Österreichischer Juristentag, Wien , Österreich.
Henne, T., & Gstrein, O. J. (2022). Governing the ‘Datafied’ School: Bridging the Divergence between Universal Education and Student Autonomy. in O. J. Gstrein, & A. Zwitter (Hrsg.), Handbook on the Politics and Governance of Big Data and Artificial Intelligence - Elgar Handbooks in Political Science series https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4147780
Steindl, E. (2022). Does the European Data Protection Framework Adequately Protect our Emotions? Emotion Tech in light of the Draft AI Act and its Interplay with the GDPR. European Data Protection Law Review, 8(2), 311-319. https://doi.org/10.21552/edpl/2022/2/20
Prainsack, B., & Steindl, E. (2022). Legal and Ethical Aspects of Machine Learning: Who Owns the Data? in P. Veit-Haibach, & K. Herrmann (Hrsg.), Artificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging (S. 191-202). Springer. https://doi.org/10.1007/978-3-031-00119-2_14
Paul, K. T., & Haddad, C. (2022). The Pandemic as we Know It: A policy studies perspective on ignorance and nonknowledge in COVID-19 governance. in M. Gross, & L. McGoey (Hrsg.), Routledge International Handbook of Ignorance Studies (2 Aufl., S. 221-233). Routledge. https://doi.org/10.4324/9781003100607-25
Bettiol, E., Bomze, I., Létocart, L., Rinaldi, F., & Traversi, E. (2022). Mining for diamonds: Matrix generation algorithms for binary quadratically constrained quadratic problems. Computers and Operations Research, 142, [105735]. https://doi.org/10.1016/j.cor.2022.105735
Bomze, I., Gabl, M., Maggioni, F., & Pflug, G. (2022). Two-stage stochastic standard quadratic optimization. European Journal of Operational Research, 299(1), 21-34. https://doi.org/10.1016/j.ejor.2021.10.056
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