activity
20242026
collaborators

5 papers

cs.CL2026

Anticipating Innovation Using Large Language Models

Enrico Maria Fenoaltea, Filippo Santoro, Giordano De Marzo +2

Forecasting innovation, intended as the emergence of new technological combinations, is a fundamental challenge for science and policy. We show that forthcoming combinations leave…

physics.soc-ph2025

Product-level value chains from firm data: mapping trophic levels into economic growth

Massimiliano Fessina, Andrea Tacchella, Andrea Zaccaria

We reconstruct a product-level input-output network based on firm-level import-export data of Italian firms. We show that the network has a statistically significant, yet nuanced t…

physics.soc-ph2025

Comparative Analysis of Technological Fitness and Coherence at different geographical scales

Matteo Straccamore, Matteo Bruno, Andrea Tacchella

Debates over the trade-offs between specialization and diversification have long intrigued scholars and policymakers. Specialization can amplify an economy by concentrating on core…

econ.GN2025

Vulnerabilities and capabilities in the EU Automotive industry: Leveraging Input-Output Analysis and Economic Complexity

Lorenzo Cresti, Dario Mazzilli, Aurelio Patelli +2

This paper investigates the structural vulnerabilities and competitive dynamics of the EU27 automotive sector, with a focus on the complexity and the fragmentation of production pr…

econ.GN2024

Follow the money: a startup-based measure of AI exposure across occupations, industries and regions

Enrico Maria Fenoaltea, Dario Mazzilli, Aurelio Patelli +5

The integration of artificial intelligence (AI) into the workplace is advancing rapidly, necessitating robust metrics to evaluate its tangible impact on the labour market. Existing…