Christos joined the LeADS project in January 2022 as an early-stage researcher at University of Piraeus Research Centre (UPRC), Greece. He completed a BSc in Pharmacology and Molecular Genetics in King’s College London and then proceeded to study genetics with a focus on computational genetics in University College London for his MSc. His interests lie in ethics and bioethics, data analysis and modelling. Upon undertaking both dry and wet-lab research projects, investigating pathological pain and evolutionary models of cancer, he became increasingly interested in the ethics, regulation and personalisation of data collection in the context of research and online business.
Project Title: Empowering data owners by promoting PIMS
Objectives: 1) Study digital platform and personal data: The project will study digital innovation and business models (e.g., multisided markets, freemium) dependent on the collection and use of personal data in different sectors such as the financial/insurance or ehealth domains. It will also: a) link this analysis to the exploration of online behaviour and reactions of users to different types of recommendations (i.e., personalized recommendations by financial/industrial applications) that generate additional personal data as well as large network effects; b) assess (efficiency, impact studies) the many specific privacy regulations that apply to online platforms, business models, and behaviours.
2) Proposal of a user centric data valorisation scheme by analysing usercentric patterns: The project aims to: a) Identify alternative schemes to data concentration, to place the user at the heart of control and economic valorisation of “his” data, whether personal or not (VRM platforms, personal cloud, private open data); b) Assess the economic impact of these new schemes, their efficiency, and the legal dimension at stake in terms of liability and respect of privacy. The project will also suggest new models allowing the user to obtain results regarding the explainability of the algorithms that are being utilized by organizations (e.g., finance / insurance companies, healthcare providers, etc.) to provide the aforementioned personalized recommendations for their offerings.