Collection

Data Science for Measuring Regional Competitiveness

Submission status
Closed

In recent years the research field of statistical methods for measuring competitiveness has grown, exploiting the time-varying nature of available measures, like Composite Indexes (CIs) observed over time on a set of territorial units, and/or contiguity relations, of spatial type even if not exclusively, among territorial units.

Due to the recent adverse events linked to the COVID-19 crisis, it has become even more important to construct scientifically robust measures for assessing and monitoring the capacity of a territory to recover and bounce back.

This special issue aims at providing a comprehensive set of tools for academics, researchers and policy-makers on this field of applied research. It will consists of a collection of articles on cutting-edge research questions related to the measurement of competitiveness and its enlarged concept, including quality of life and well-being.

Editors

  • Leonardo Salvatore Alaimo Leonardo Salvatore Alaimo , 

    Leonardo Salvatore Alaimo

    Leonardo Salvatore Alaimo is Research Fellow of Social Statistics (SECS-S/05) at the Department of Social Sciences and Economics of University of Rome La Sapienza. He holds a Ph.D. in Social Statistics at University of Rome La Sapienza. He was a researcher at the Italian National Institute of Statistics – Istat. He was expert on statistics of the Italian Prime Minister Office – Italian Government (Conte’s cabinet). He is a member of various scientific societies and research centers, including the Italian Statistical Society – SIS, the Italian Association for Quality-of-Life Studies (AIQUAV) and CIE - Centro de Investigaciones en Econometría.

  • Pierpaolo D'Urso Pierpaolo D'Urso , 

    Pierpaolo D'Urso

    Pierpaolo D'Urso is a full professor of Statistics at Sapienza - University of Rome. He is the chair of the Department of Social and Economic Sciences, Sapienza - University of Rome. He received his Ph.D. in Statistics and his bachelor's degree in Statistics both from Sapienza. He is associate editor and member of the editorial board of several journals. He has been member of several program committees of international conferences and guest editor of special issues His recent research activity is focus on fuzzy clustering, clustering of spatial data, clustering of time series, clustering of spatio-temporal data, among other topics.

  • Paola Annoni Paola Annoni  &

    Paola Annoni

    Paola Annoni has an extensive professional experience as applied statistician, particularly in the area of measurement of latent phenomena in the economic and social sciences. She currently works at the European Commission in the Directorate-General for Communication Networks, Content & Technology on the Digital Economy and Society Index and the 2030 Path to the Digital Decade. In the past 15 years, she has been responsible for different composite statistical measures like the European Regional Competitiveness Index, The European regional Social Progress Index and the European Quality of Government Index.

  • Livia de Giovanni Livia de Giovanni

    Livia de Giovanni

    Livia De Giovanni works at the Università Luiss Guido Carli, Rome, Italy.

Articles (14 in this collection)