Michail Batikas. Completed the PhD in Information Systems in 2011 by Universitat Pompeu Fabra, the Master in Business Administration in 2005 by Athens University of Economics and Business, and the BSc in Computer Science in 2003 by University of Crete. Is Assistant Professor at Universidade NOVA de Lisboa, NOVA School of Business and Economics (since 2023). Previously held positions as Assistant Professor at Rennes School of Business (2019–2023), Postdoctoral Researcher at LMU Munich (2016–2019), and Scientific Officer at the European Commission's Joint Research Centre in Seville (2012–2015). Published 2 articles in internationally recognized journals: "Regulatory Spillovers and Data Governance: Evidence from the GDPR" in Marketing Science (2022), and "Follow the Money: Online Piracy and Self-Regulation in the Advertising" in the International Journal of Industrial Organization (2019). Has 3 papers under revision at Strategic Management Journal and Information Systems Research (×2). Has 2 book chapters and authored 4 policy reports for the European Commission. Presented research at leading venues including NBER Summer Institute, WISE, CODE@MIT, ISMS Marketing Science Conference, Academy of Management, and the Toulouse School of Economics. Works in the area of Social Sciences with emphasis on Economics and Business, specifically in the Economics of Information Systems, Platform Markets, and Privacy. Current research investigates the impact of Generative AI on market structure in open source software and the effects of privacy regulation on innovation and experimentation. Active in professional service as Co-Chair of the Workshop on Statistical Challenges in E-Commerce Research (SCECR 2024, 2025) and the Digital Economy Workshop Athens (2026). Served as Associate Editor for ICIS, Academy of Management, and WI conferences. Member of the Editorial Review Board of the European Management Review. Ad hoc reviewer for Information Systems Research, Strategic Management Journal, Research Policy, and Strategy Science, among others. Affiliated with Nova SBE's Digital Data Design Institute (D3, Harvard-affiliated) and the AI X Lab. Teaching includes graduate courses in Data Ecosystems and Governance, and Network Analytics. Recipient of the Nova SBE Mobility Fellowship (2026), RSB Research Award (2022), and LMU Munich Job-Market Fellowship (2018). In his curriculum Ciência Vitae the most frequent terms in the context of scientific, technological and artistic-cultural output are: Privacy; GDPR; Platform Markets; Digital Markets; Economics of IS; Generative AI; Open Source Software; Data Governance; Online Piracy; Innovation.