Christophe Feder

Christophe Feder is a Lecturer in the Department of Economic and Political Sciences at the University of Valle d'Aosta, where he teaches Regional Economics, Macroeconomics, and Microeconomics. He has maintained continuous teaching appointments at the university since 2012, progressing from teaching assistant to independent instructor roles.

His educational background includes a PhD in Economics & Complexity from the University of Turin and Collegio Carlo Alberto (2013-2015), an MA in ECOMATH from Toulouse School of Economics (2011-2012), and undergraduate degrees in both Economics from the University of Turin and Business Administration from the University of Valle d'Aosta.

Feder's research focuses on the intersection of innovation economics, institutional frameworks, and regional development. His work examines how technological change affects productivity, with particular attention to biased technological change and smart specialization strategies. He has made significant contributions to understanding the role of universities in regional innovation systems and the impact of disruptive innovations on economic productivity.

His publication record from 2017-2019 shows a strong concentration on technological change dynamics, with recurring themes of productivity measurement, regional economic resilience, and innovation policy. His articles span multiple disciplinary boundaries, connecting economic theory with practical policy implications for regional development.

Feder maintains active participation in the academic community as a referee for Regional Studies and the DRUID Conference. His international engagement is evident through presentations at major conferences including the International Schumpeter Society Conference, DRUID Conferences, and Regional Studies Association Annual Conference across multiple continents.

As a teaching professional, Feder has developed expertise in multiple economics disciplines and possesses advanced technical skills with statistical software including STATA, Python, and MATLAB. His multilingual capabilities (French and English) support his international research collaborations and academic engagements.