معرفی
Matias Andrade is a Guest Assistant at the Department of Political Economy within the School of Economics and Social Sciences at ISCTE-University Institute of Lisbon. He is currently pursuing a PhD in Political Economy at ISEG Lisbon School of Economics and Management (2023–2028), following an Integrated Master's and postgraduate studies in Political Economy at ISCTE. His academic work spans teaching, research, and institutional collaboration in public policy evaluation and political economy.
- PhD in Political Economy, ISEG Lisbon School of Economics and Management (2023–2028)
- Integrated Master's Degree in Political Economy, ISCTE-University Institute of Lisbon (2022–2023)
- Bachelor’s Degree in Economy, Nova School of Business and Economics (2016–2020)
- Postgraduate Studies in Political Economy, ISCTE (2022–2023)
- Summer School in Post-Keynesian Economics, Post-Keynesian Economics Society (2022)
- Summer School on European Peripheries, Portuguese Political Economy Association (2022)
His research focuses on the intersection of political economy and public policy evaluation, particularly in the context of European funding mechanisms and business support programs. He specializes in methodological innovations combining causal inference with machine learning to assess policy impacts rigorously. His work addresses questions of attribution, effectiveness, cost-efficiency, and contextual conditions under which interventions succeed.
The recent publications reflect a strong orientation toward evidence-based policy design, with a focus on counterfactual methodologies and strategic planning in energy and economic development. Both reports stem from applied research projects aimed at improving public sector evaluation frameworks.
Matias has been actively involved in teaching the course Policy Evaluation Methods in the Postgraduate Course in Public Policy Evaluation since the academic year 2022/2023, contributing to professional training in public administration. He also served as Secretary at the Institute for Public and Social Policies (2022–2023), indicating engagement in academic management.
He was a key contributor to the Counterfactual-ML research project (2021–2022), which explored hybrid methodologies for evaluating business support policies co-financed by European funds in Portugal. This project aimed not only to advance methodological rigor but also to build capacity within public agencies responsible for policy evaluation.
His affiliations include DINAMIA'CET-Iscte and BRU-Iscte as research partners, and he has collaborated with multidisciplinary teams on policy-oriented studies. Future work is likely to expand on integrating advanced data science techniques into socio-economic policy analysis, particularly within the European periphery context.
