about my research
Research Fields
My recent work is primarily situated at the intersection of artificial intelligence, data science, and economic analysis, where I examine how computational methods—such as natural language processing, machine learning, and digital twins—reshape decision-making processes in firms and institutions. This line of research applies data-intensive approaches to questions of productivity, public policy, and organizational strategy, with a particular focus on the integration of AI into economic and managerial systems.
Closely related to this, I investigate industrial organization and competition in the digital economy, with an emphasis on algorithmic pricing, platform dynamics, and the risks of collusion in environments mediated by artificial intelligence. This work contributes to contemporary debates in antitrust and regulation, especially in contexts where information asymmetries and automated decision systems redefine competitive behavior.
A further dimension of my research lies in political economy and institutional analysis, particularly in understanding how information flows, digital platforms, and communication strategies affect institutional legitimacy and public engagement. This includes work on central bank communication, social media discourse, and the governance of emerging technologies, where I analyze how digital environments transform the relationship between institutions and citizens.
More recently, I have also developed contributions in sustainability and climate transition, using data-driven methods to explore corporate strategies, public perceptions of environmental risks, and the role of information in facilitating or constraining transitions toward more sustainable economic models.
Earlier in my career, my research focused on innovation, technology strategy, and digital transformation, where I examined how firms adapt to technological change and how data and digital infrastructures influence strategic decision-making. This work provided a bridge between traditional management theory and the emerging role of data science in organizational contexts.
Finally, my foundational contributions are rooted in international economics and global trade, including work on monetary integration, fiscal policy, trade models, and the institutional dynamics of the European Union. These earlier studies continue to inform my current research, particularly in understanding how global economic structures are being reshaped by digitalization and platform-based interactions.
Across these domains, my research is unified by a common objective: to mobilize data science and computational tools to revisit and extend core questions in economics, international business, and institutional analysis in the context of digital transformation.