Dr. Nina Baranowska, LL.M.  is a researcher at eLaw, and a member of the RESOCIAL Project.

More information about Nina Baranowska

Dr. Nina Baranowska, LL.M. (Ottawa) (she/her) is a researcher at eLaw, Leiden University, and a member of the RESOCIAL Project (funded by NWO), an interdisciplinary project on social media vulnerability and resilience. 

Her research focuses on the legal and societal challenges of AI and other digital technologies, with particular attention to data protection, liability, non-discrimination and fundamental rights. Her work engages with the intersections of EU law, technological aspects, and regulatory approaches.

Nina completed her PhD (summa cum laude) in European Union law and private law, as well as an LL.M. in Law & Technology from the University of Ottawa (Canada). 

She has developed her expertise on emerging technologies through a combination of national and international research projects and multiple prestigious scholarships at international research centres. These include, for example, the Max Planck Institute for International and Comparative Private Law in Hamburg, the Swiss Institute of Comparative Law in Lausanne, and the University of Ottawa. She has also been involved in projects conducted by the European Group on Tort Law in Vienna and carried out research as a visiting scholar at the University of Hamburg and at the Court of Justice of the European Union in Luxembourg.

Her work bridges research, policy, and practice, and translates complex legal and technical issues into accessible guidance. She also collaborates with civil-society organisations to strengthen users’ protection in the digital environment and to develop rights-based approaches for the governance of AI systems and other emerging technologies.

Before joining eLaw, Nina worked as a researcher at iHub: the Interdisciplinary Research Hub on Digitalization and Society at Radboud University. She was part of the Horizon Europe project FINDHR (Fairness and Intersectional Non-Discrimination in Human Recommendation), where she conducted legal research on detecting and preventing discriminatory risks in algorithmic hiring. Her work examined the interaction between EU law (including the AI Act, GDPR, and EU non-discrimination law) and technical fairness approaches.