Literature

This is a list of sources I read in an academic context and recommend. It will keep on growing. This page was updated last on 14. April 2025.

Recommendations

Books

• German
  • Schadt, P. (2022). Digitalisierung. PapyRossa Verlags GmbH & Co. KG.

Articles

• Academic

  • Giunchiglia, E., Stoian, M. C., & Lukasiewicz, T. (2022). Deep Learning with Logical Constraints. In L. D. Raedt (Ed.), Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI-22 (pp. 5478–5485). International Joint Conferences on Artificial Intelligence Organization. https://doi.org/10.24963/ijcai.2022/767
  • Niebel, C. (2021). The impact of the general data protection regulation on innovation and the global political economy. Computer Law & Security Review, 40, 105523. https://doi.org/10.1016/j.clsr.2020.105523
  • Deng, Z., & Dai, J. (n.d.). First Court Judgment on Cross-Border Personal Information Transfer in China: Local Adaptation Required for Multinational Companies’ GDPR Privacy Policies. Retrieved January 30, 2025, from https://www.lexology.com/library/detail.aspx?g=0ef7b467-b539-44b0-b138-b77ef0ac3767
  • Albrecht, D. (2022). Chinese first Personal Information Protection Law in contrast to the European GDPR. Computer Law Review International, 23(1), 1–5. https://doi.org/doi:10.9785/cri-2022-230102

• Other

  • DigiChina. (2021). Translation of the Personal Information Protection Law of the People’s Republic of China (Effective Nov. 1, 2021). Stanford University.https://digichina.stanford.edu/work/translation-personal-information-protection-law-of-the-peoples-republic-of-china-effective-nov-1-2021
  • Sarkar, Abhinav. "Getting Started with Nix for Haskell". https://abhinavsarkar.net/posts/nix-for-haskell/