la ricerca This project explores the transformative potential of Artificial Intelligence (AI) through an interdisciplinary approach that integrates computer science, network science, economics, and sociology. On one hand, we study the limitations and potential of AI to understand social, technological, and economic dynamics; on the other, we apply these models to conduct innovative investigations into […]
The transition towards a green and digital economy—often termed the “Twin Transition”—is the defining challenge of our time. But how do we ensure this shift does not exacerbate existing inequalities? How do we move from ambitious rhetoric to effective, evidence-based policy? These were the central questions addressed during the final workshop of the PRIN 2022 […]
the research This project explores the transformative potential of Artificial Intelligence (AI) through an interdisciplinary approach that integrates computer science, network science, economics, and sociology. On one hand, we study the limitations and potential of AI to understand social, technological, and economic dynamics; on the other, we apply these models to conduct innovative investigations into […]
CREF researchers Angelica Sbardella and Andrea Tacchella are guest editors of a special issue in Scienze Regionali, a leading Italian journal in the field. This issue will focus on the application of Economic Complexity (EC) methods to understand regional development. By examining how different scales influence economic outcomes, this research offers a fresh perspective on […]
Title: Economic complexity and the sustainability transition: a review of data, methods, and literature Authors: Bernardo Caldarola (UNU-MERIT and University of Maastricht, Maastricht, The Netherlands), Dario Mazzilli (CREF) , Lorenzo Napolitano (European Commission Joint Research Centre – JRC Seville), Aurelio Patelli(CREF) and Angelica Sbardella(CREF) Published on Jphys Complexity DOI 10.1088/2632-072X/ad4f3d Abstract Economic Complexity (EC) […]
Title: Mapping job fitness and skill coherence into wages: an economic complexity analysis Authors: Sabrina Aufiero (Università “Sapienza”- Roma, University College-London), Giordano De Marzo (Università “Sapienza”- Roma, Centro Ricerche Enrico Fermi, Complexity Science Hub – Vienna), Angelica Sbardella (Centro Ricerche Enrico Fermi), Andrea Zaccaria (Centro Ricerche Enrico Fermi, Istituto dei Sistemi Complessi (ISC) – CNR) […]
Triple T – Tackling a just Twin Transition: a Complexity Approach to the Geography of Capabilities, Labour Markets and Inequalities Coordinator: Angelica Sbardella (CREF) Partner Scuola Superiore di Studi Avanzati Sant’Anna di Pisa Project Code: P2022B5S5J Triple T presents an ambitious interdisciplinary research agenda that plans to identify the capabilities and the policy strategies needed […]
In the recently published International Labour Organization (ILO) Working Paper 94, “Who creates jobs with broad skillsets? The crucial role of firms,” researchers Giordano De Marzo and Angelica Sbardella from CREF, along with Nanditha Mathew from UNU MERIT, have collaborated with the ILO to study the role of Indian firms in shaping the labor market. […]
la ricerca Physics, through the theory of complex systems and statistical physics, has provided essential quantitative tools to tackle socio-economic challenges that classical disciplines often fail to interpret. While it is not possible to conduct direct experiments, time series and statistical properties can be analyzed to predict the collective behavior of systems. With this vision […]
Head of Research Line la ricerca This project explores the transformative potential of Artificial Intelligence (AI) through an interdisciplinary approach that integrates computer science, network science, economics, and sociology. On one hand, we study the limitations and potential of AI to understand social, technological, and economic dynamics; on the other, we apply these models to […]
