IMT SCHOOl Workshop on Technology and the Labour Market

17-18 December, 2020

Online, via Google Meet

Organizers: Sotiris Blanas, Massimo Riccaboni, Armando Rungi

Google Meet link (17 December):

Google Meet link (18 December):

Day 1 of the workshop will run from 10am to 3:30pm CET.

Day 2 of the workshop will run from 10am to 4:30pm CET.

The detailed programme can be found here.

List of Speakers

Keynote speakers (in alphabetical order):

Jeremias Adams-Prassl, Oxford University

Gianmarco Ottaviano, Bocconi University

John Van Reenen, LSE and MIT

Michael Wooldridge, Oxford University and Alan Turing Institute

Presentations (in alphabetical order):

Arash Ajoudani, Italian Institute of Technology

Sotiris Blanas, IMT School for Advanced Studies Lucca

Francesco Bossi, IMT School for Advanced Studies Lucca

Marco Capasso, Nordic Institute for Studies in Innovation, Research and Education

Italo Colantone, Bocconi University

Francesco del Prato, IMT School for Advanced Studies Lucca and KU Leuven

Dimitris Exadaktylos, IMT School for Advanced Studies Lucca

Marco Grazzi, Catholic University of the Sacred Heart

Andrew Green, OECD Future of Work Team

Dario Guarascio, University of Rome "La Sapienza"

David Hémous, University of Zurich

Sara Landi, IMT School for Advanced Studies Lucca

For any inquiries: Sotiris Blanas (, Massimo Riccaboni ( and Armando Rungi (

The event is supported by Artes 4.0 and by the IMT project "Technological Change, Soft Skills and the Future of High Skilled Jobs".

July 8, 2020, 10:20 am

Google Meet:

IMT School for Advanced Studies Lucca (Italy) and the Leuven Economics of Education Research Center of KU Leuven (Belgium) in collaboration with ARTES 4.0 jointly organize a webinar series on data science techniques for impact and policy evaluation.

In recent years, the ability of machines to solve increasingly more complex tasks has grown exponentially. The availability of learning algorithms that deal with tasks such as facial and voice recognition, automatic driving, and fraud detection (among the others) makes the various applications of artificial intelligence and data science a hot topic not just in the specialised literature but also in the media outlets. However, the bulk of data science studies resolves in application of new technologies to predictive tasks. The goal of this webinar series is to explore how data science techniques can be used and adapted to assess the impact of natural events, public policies, private interventions and so on. Ultimately the question that our speakers will (try to) address is: can the application of new data science tools in a causal perspective boost our understanding of the world and improve the way policy-makers and stakeholders design their interventions?


Fabrizia Mealli, University of Florence and Florence Center for Data Science

Chris Van Klaveren, Vrije Universiteit Amsterdam

Massimo Riccaboni, IMT School

Rachel C. Nethery, Harvard University

Falco J. Bargagli Stoffi, IMT School and KU Leuven

For more information on the webinar topics, the detailed program and to proceed with the registration to the event, visit this link.

IMT School for Advanced Studies Lucca is honored to host 7th annual Workshop on Networks in Economics and Finance (NETEF 2018) to be held on Friday Sepetember 14th and Saturday September 15th in Lucca Italy. This workshop is organized jointly with CIRANO and the Sam M. Walton College of Business at the University of Arkansas, and builds on the successful CIRANO Workshops on Networks in Trade and Finance that have taken place in Montreal and Fayetteville, Arkansas over the last six years.

The workshop gathers researches to share and discuss advances in theoretical and empirical analysis of social and economic networks. We welcome researchers working on various topics within economics and finance, including: trade, economic development, game theory, financial contagion, systemic risk, production networks, and network formation.

The keynote speakers of the workshop will be:

Yann Bramoullé, Aix-Marseille School of Economics & CNRS

Sanjeev Goyal, University of Cambridge

Vasco M. Carvalho, University of Cambridge

Stefano Battiston, University of Zurich