M. Fregin
Marie-Christine Fregin is Research Leader at Maastricht University´s Research Centre for Education and the Labour Market (ROA). She is a sociologist by training and holds a PhD in Economics from Maastricht University. Her research focuses on the transformative impact of Artificial Intelligence (AI) on workplaces, worker performance, skill development, and well-being. She specializes in insider econometrics and experimental research designs to rigorously assess the real-world effects of AI technologies on work and workers.
As coordinator of ai:conomics – Artificial Intelligence and the Future of Work, Marie-Christine Fregin leads a multinational research initiative that investigates the organizational implications of AI and Generative AI (GenAI) adoption. Her work integrates case studies in the corporate environment with the development of scalable methodologies to measure efficiency gains and to evaluate the broader effects of AI on workers' roles and identities. In addition, she co-leads an international experimental study, funded by the Global Partnership on AI, examining the use of Generative AI assistance in physician decision-making.
Dr. Fregin’s expertise lies at the interface of academic research, industry collaboration, and policy advising. She collaborates with multinational corporations, worker representatives, and policymakers to ensure that research findings translate into practical and evidence-based recommendations. She has served as an advisor to the High-Level Expert Group on Artificial Intelligence of the German Parliament (Enquete Kommission Künstliche Intelligenz) and has contributed to AI policy discussions at the United Nations and the OECD.
Her research has been published and featured in national and international media, including Frankfurter Allgemeine Zeitung, Handelsblatt, and Süddeutsche Zeitung. In 2025, manager magazin recognized her as one of the 23 most important women in AI in Germany.
In addition to her research activities, Dr. Fregin is committed to academic mentorship, supervising PhD candidates and supporting early-career researchers in the fields of AI and applied economics.