Hoffmann-Riem, W. (ed.) (2018): Big Data – Regulative Herausforderungen [Regulative Challenges]. Baden-Baden: Nomos Verlagsgesellschafft.
Edited by Prof. Dr. Wolfgang Hoffmann-Riem, LL.M.
With contributions by Wolfgang Hoffmann-Riem, Gerrit Hornung, Yoan Hermstrüwer, Andreas von Arnauld, Tobias Mast, Stephan Dreyer, Markus Oermann, Kevin Dankert, Matthias Bäcker, Jan C. Joerden, Tobias Singelnstein, Thomas Hoeren
The book focuses on Big Data against the background of digital transformation, and with the related analytics and practical uses. Examples are its influence on attitudes and behaviours, the development of innovative business models, the controlling of vital infrastructures, the evolution of science, predictive policing, cybercrime etc. The law, such as German and European data protection law as well as antitrust law, is not sufficiently attuned to the specific problems of Big Data. The dissolution of borders, concentration of market power, intransparencies etc. complicate legal protection. New or modified forms of regulatory design and control, among them also modifications of data protection law, protection of transparency and imputability, the expansion of systemic protection, extended impact assessment, legal enclosure of self-regulations and various other measures are needed.
What role do health-related offers play in the app repertoire of young people? And how are the offers with regard to their health-promoting potential, their possible risks and their quality to be evaluated?
To what extent can algorithmic recommendation systems be part of the own journalistic activity of public service media providers and take the side of (or take the place of) journalistic selection and compilation of information? In a White Paper for the MDR (Central German Broadcasting), the main cha...
In support of the political discourse on services like search engines and social networking services, this report provides a structured view on information intermediaries and possible approaches of regulating them.
Unlike its citizens, the state cannot lean on the basic right of free speech when it comes to its communciation. In his PhD project, Tobias Mast exmaines the legal requirements of the state’s communication with its citizens.
Every app, every website, every search query uses algorithms. In his PhD project, Felix Krupar analyses the legal classification of algorithmic communication.
Strippel, C.; Bock, A.; Katzenbach, C.; Mahrt, M.; Merten, L.; Nuernbergk, C.; Pentzold, C.; Waldherr, A. (2018): Theoretische und methodische Antworten der Kommunikationswissenschaft auf Herausforderungen der Digitalisierung [Theoretical and Methodological Responses of Communication Science to the...
Heldt, A. P. (2018): Transparenz bei algorithmischen Entscheidungen – Food for Thoughts [Transparency in Algorithmic Decisions – Foods for Thoughts]. In: Computer und Recht 2018(8), pp. 494-500.
Heldt, A. (2018): Von der Schwierigkeit, „fake news“ zu regulieren [The Difficulty of Regulating "Fake News"]. In: JuWiss Blog: Junge Wissenschaft im Öffentlichen Recht No. 71/2018. Website. Hamburg: Bucerius Law School. 26.7.2018.
Hoffmann-Riem, W. (ed.) (2018): Big Data – Regulative Herausforderungen [Regulative Challenges]. Baden-Baden: Nomos Verlagsgesellschafft. Edited by Prof. Dr. Wolfgang Hoffmann-Riem, LL.M. With contributions by Wolfgang Hoffmann-Riem, Gerrit Hornung, Yoan Hermstrüwer, An...
Dreyer, S. (2018): Predictive Analytics aus der Perspektive von Menschenwürde und Autonomie [Predicitve Analytics from the Perspective of Human Dignity and Autonomy]. In: W. Hoffmann-Riem (ed.), Big Data - Regulative Herausforderungen [Big Data - Regulatory Challenges]. Baden-Baden: Nomos, pp. 135-...