EUGLOH Course in Data Protection (GDPR) 2027

Online

Date

15 Nov 2027 - 30 Nov 2027

Location Online

Host university University of Szeged (USZ)

Mode Online

WP WP 2

Target groups PhD students

Contact person Eszter Szalainé Turai - turai.eszter@szte.hu

Duration Up to 1 month in length

Reference code EUG2_T2_1_0258

Type of event Training

Recognition Transcript of records - ECTS

Language English

Recruitment of participants Qualitative Assessment

Number of open spots 27

Is eligible to international certificate Yes

Evaluation criteria 20% - Time of submission 80% - Motivation

Isced fields of study 0421 - Law

The aim of the training is to enable students to understand the basics of data protection and make them more conscious data subjects by raising their awareness regarding the data protection challenges affecting them at the university and later on during their professional lives. They will get familiar with the basic legal concepts, complemented by the necessary IT knowledge to better understand data protection in the 21st century. Lecturers, trainers and jury members are well-established academic lecturers from different universities or members of the Hungarian data protection authority.

Who is it for?
PhD students from all academic disciplines who are interested in expanding their knowledge regarding data protection.

Content and Methodology

Content:

Module 1 – Theoretical Courses: 15-17 November 2027
Module 2 – Group Work and Presentation: 24-26 November 2027

After participating in the theoretical courses (Module 1) students will be assigned to groups where they have to solve real-life scenarios (Module 2) based on the first module, as well as on the materials previously assigned by the lecturers.

Assessment:

Module 1: pass an online test based on the topics discussed during the theoretical lectures. Passing the test is a requirement to participate in Module 2.

In Module 2 students will present their solutions in a peer-review system and discuss the findings under the direction of the trainers and jury members. On the last day, the jury announces the results among the participants: who performed best in the field of data protection!

Completion Reward:

Students completing the training will receive 4 ECTS credits, as well as a Certificate of Attendance and a Transcript of Records

Recommended Readings:

Core Legal Sources

1.Regulation (EU) 2016/679 (GDPR). (Primary legal source) [eur-lex.europa.eu], [edps.europa.eu]

Charter of Fundamental Rights of the European Union (Articles 7–8).
Convention 108+ (Council of Europe Convention for the Protection of Individuals with regard to Automatic Processing of Personal Data).

Foundational Works
Lynskey, O. (2015). The Foundations of EU Data Protection Law. DOI: 10.1093/acprof:oso/9780198718239.001.0001
Bygrave, L. A. (2022). Data Privacy Law: An International Perspective (2nd ed.). DOI: 10.1093/oso/9780198863168.001.0001
B.Coppens and O. Zendra. Is privacy possible in a digital world? In HiPEAC Vision 2023. (DOI: 10.5281/zenodo.7461921)
Elliot, M., Mandalari, A. M., Mourby, M., & O’Hara, K. (2024).

Dictionary of Privacy, Data Protection and Information Security.

Cheltenham, UK: Edward Elgar Publishing Limited. (DOI:

10.4337/9781035300921)

González Fuster, G. (2014). The Emergence of Personal Data Protection as a Fundamental Right of the EU. DOI: 10.1007/978-3-319-05023-2
Solove, D. J. (2021). Understanding Privacy. Harvard University Press.
Nissenbaum, H. (2010). Privacy in Context. Stanford University Press.

GDPR literature
Kuner, C., Bygrave, L. A., & Docksey, C. (Eds.). (2020). The EU General Data Protection Regulation (GDPR): A Commentary. DOI: 10.1093/oso/9780198826491.001.0001
Voigt, P., & von dem Bussche, A. (2023). The EU General Data Protection Regulation (GDPR): A Practical Guide (2nd ed.). DOI: 10.1007/978-3-031-33747-6
Hijmans, H. (2022). The European Union as Guardian of Internet Privacy. DOI: 10.1007/978-3-030-94961-8
Malgieri, G. (2022). Vulnerability and Data Protection Law. DOI: 10.1093/oso/9780192893857.001.0001

Recent Governance and AI Materials
European Data Protection Board. Opinion 28/2024 on Certain Data Protection Aspects Related to AI Models. [edpb.europa.eu], [edpb.europa.eu]
European Parliament. (2025). Interplay Between the AI Act and the EU Digital Legislative Framework. [europarl.europa.eu]
Feretzakis, G., Vagena, E., Kalodanis, K., Peristera, P., Kalles, D., & Anastasiou, A. (2025). GDPR and Large Language Models: Technical and Legal Obstacles. Future Internet, 17(4), 151. DOI: 10.3390/fi17040151 [mdpi.com]

RECOMMENDED READINGS (10)
Cohen, J. E. (2019). Between Truth and Power. DOI: 10.1093/oso/9780190246693.001.0001
Floridi, L. (2014). The Fourth Revolution. DOI: 10.1093/acprof:oso/9780199606726.001.0001
Kuner, C. (2013). Transborder Data Flows and Data Privacy Law. DOI: 10.1093/acprof:oso/9780199675678.001.0001
Novelli, C., Casolari, F., Hacker, P., Spedicato, G., & Floridi, L. (2024). Generative AI in EU Law: Liability, Privacy, Intellectual Property and Cybersecurity. arXiv:2401.07348. [arxiv.org]
Li, W., Zhang, Y., Zheng, Q., & Li, A. (2026). How the Legal Basis for AI Training is Framed in Data Protection Guidelines and Interventions. International Data Privacy Law. DOI: 10.1093/idpl/ipaf032 [academic.oup.com]
Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the Dangers of Stochastic Parrots. DOI: 10.1145/3442188.3445922
Floridi, L., & Chiriatti, M. (2020). GPT-3: Its Nature, Scope, Limits, and Consequences. DOI: 10.1007/s11023-020-09548-1
Wachter, S., Mittelstadt, B., & Floridi, L. (2017). Why a Right to Explanation of Automated Decision-Making Does Not Exist in the GDPR. DOI: 10.2139/ssrn.2903469
Selbst, A. D., & Powles, J. (2017). Meaningful Information and the Right to Explanation. DOI: 10.1093/idpl/ipx022
Kaminski, M. E. (2019). The Right to Explanation, Explained. DOI: 10.2139/ssrn.3196985