H. Asgarinia MSc (Haleh)

In September 2019, I joined the department of Philosophy as a Ph.D. candidate with a research project defined under the European Commission’s Horizon 2020 program ‘PROTECT- Protecting Personal Data Amidst Big Data Innovation’. The EU’s Marie-Sklodowska-Curie ITN grant funds this project.

My research within the PROTECT project centres on the analysis of data-related regulations from an ethical perspective. The objective is to develop an interoperable Privacy Paradigm that promotes trust and transparency. Specifically, my Ph.D. project investigates privacy concerns related to large datasets. One of my main focuses is on group rights to privacy or how advanced data analytics has highlighted the limitation of traditional informational rights to privacy in the protection of individuals. Additionally, I examine how machine learning models affect the social value of privacy by impacting trust relationships between individuals who share their data and those responsible for handling them.

Macnish, K. N. J. , & Asgarinia, H. (2023). Privacy and the Media. In C. Fox, & J. Saunders (Eds.), The Routledge Handbook of Philosophy and Media Ethics Routledge. https://doi.org/10.4324/9781003134749-4

Asgarinia, H. (2023). Big Data as Tracking Technology and Problems of the Group and its Members. In K. Macnish, & A. Henschke (Eds.), The Ethics of Surveillance in Times of Emergency (pp. 60-75). Oxford University Press. https://doi.org/10.1093/oso/9780192864918.003.0005

Asgarinia, H., Chomczyk Penedo, A., Esteves, B., & Lewis, D. (2023). “Who Should I Trust with My Data?” Ethical and Legal Challenges for Innovation in New Decentralized Data Management Technologies. Information (Switzerland), 14(7), Article 351. https://doi.org/10.3390/info14070351

Asgarinia, H. (2023). Ex-post Approaches to Privacy: Trust Norms to Realize the Social Dimension of Privacy. Abstract from International Conference on Computer Ethics, CEPE 2023, Chicago, Illinois, United States. https://soremo.library.iit.edu/index.php/CEPE2023/article/view/287/293

Asgarinia, H. (2023). Convergence of the source control and actual access accounts of privacy. AI and Ethics. Advance online publication. https://doi.org/10.1007/s43681-023-00270-z

Esteves, B. (Author), Chomczyk Penedo, A. (Author), Mutiro, B. (Author) , Asgarinia, H. (Author), & Lewis, D. (Author). (2022). Privacy Paradigm ODRL Profile. Web publication/site https://w3id.org/ppop

Esteves, B. , Asgarinia, H., Chomczyk Penedo, A., Mutiro, B., & Lewis, D. (2022). Fostering trust with transparency in the data economy era: an integrated ethical, legal, and knowledge engineering approach. In DE '22: Proceedings of the 1st International Workshop on Data Economy (pp. 57-63). (DE 2022 - Proceedings of the 1st International Workshop on Data Economy, Part of CoNEXT 2022). Association for Computing Machinery. https://doi.org/10.1145/3565011.3569061

Asgarinia, H. , & Macnish, K. (2022). Trustworthy Digital Twins in Intelligent Transport Systems. National Digital Twin Program. https://www.soprasteria.co.uk/insights/press-releases/details/operationalising-digital-twin-ethics

Asgarinia, H. (2020). The role of privacy impact assessments in shaping privacy-protective technical solutions. In Privacy & Pandemic: Responsible Use of Technology and Health Data https://fpf.org/wp-content/uploads/2020/10/40-Haleh-Asgarinia-Privacy-Pandemic-Conference.pdf

PROTECT- Protecting Personal Data Amidst Big Data Innovation (2019-2022)

+31534899358

h.asgarinia@utwente.nl