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. 

Twitter has become a central platform for political [1] and scientific communication [2], offering a unique data source for researching digital...

The 3rd Conference of the Research Network Young Digital Law, held at the University of Vienna from 5th to 7th July 2023, focused on the theme of...

Summary of the Public Round Table that took place on 6 July 2023, as part of the Young Digital Law Conference in Vienna

 

In our blogpost we delve into the complexities of the in/visibilities of inequalities in the global digital transformation. In particular, we explore...

This post reflects on data governance issues in marine biodiversity negotiations. We focus on how marine biodiversity was addressed in the...

The field of data governance has taken center stage in recent years as technology continues to rapidly advance. With the exponential growth of data,...


 Publications by our platform members

2022


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).

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 Vorzeitige Online-Publikation. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4147780

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

Felt, U., Öchsner, S., & Rae, R. (2022). Citizens in Search for a Place in the Digital Health Data Space: A Case Study. in B. Pfeifer, & M. Baumgartner (Hrsg.), dHealth 2022 - Proceedings of the 16th Health Informatics Meets Digital Health Conference (Band 293, S. 127-136) https://doi.org/10.3233/SHTI220359

Mayer, K., & Shah, E. I. (2022). Human Sensors. in Sensing In/Security (S. 206-215). Mattering Press. https://doi.org/10.28938/9781912729050

Lucivero, F., Marelli, L., Hangel, N., Zimmermann, B. M., Prainsack, B., Galasso, I., Horn, R., Kieslich, K., Lanzing, M., Lievevrouw, E., Ongolly, F., Samuel, G., Sharon, T., Siffels, L., Stendahl, E., & Van Hoyweghen, I. (2022). Normative positions towards COVID-19 contact-tracing apps: findings from a large-scale qualitative study in nine European countries. Critical Public Health, 32(1), 5-18. https://doi.org/10.1080/09581596.2021.1925634

Forgó, N., & Wagner, M.-C. (2022). The Principle of Transparency in Medical Research: Applying Big Data Analytics to Electronic Health Records. in AI in eHealth: Human Autonomy, Data Governance and Privacy in Healthcare (S. 209-250). Cambridge University Press.

2021