photo of Mariagrazia Squicciarini

Mariagrazia Squicciarini

Senior Economist - OECD

Mariagrazia Squicciarini is Senior Economist – Head of Unit at the OECD Directorate for Science Technology and Innovation (STI).

Mariagrazia’s work encompasses the changing determinants of growth and productivity; the economics of Intellectual Property Rights (IPR); knowledge-based capital; global value chains; the digital transformation and Artificial Intelligence; job and skill dynamics; and the digital gender divide.

She is responsible for the OECD Working Party on Industry Analysis (WPIA), which develops indicators and quantitative analysis in the area of industry dynamics, innovation and economic performance.

Mariagrazia oversees the STI Microdata Lab initiative, combining a wide array of micro-level data for indicator and econometric analysis work in support of evidence-based policy making.

She is responsible for the IPR-related data and analysis work carried out in STI and chairs the OECD-led IP Statistics Taskforce, which fosters coordination related to methodological, data and analysis work of IPR Offices worldwide.

Mariagrazia holds a Ph.D. in Economics from the University of Essex (UK). Among others, she had previous appointments at VTT Technical Research Centre of Finland (FI), the University of Essex (UK) and the European Commission-Joint Research Centre (IPTS, ES).

She has published extensively and acts as a reviewer for international peer-review journals and governments.

Mariagrazia Squicciarini's videos

Developing and applying AI: Core and non-core AI

Developing and applying AI: Core and non-core AI

February 6, 2021clock60 mins

AI technologies are still in their relative infancy but already promise to have a strong effect on production and, consequently, jobs. To help understand the state of the art and the directions AI will take, this session will discuss how to distinguish core versus non-core (i.e. applications) AI-related developments. It will further discuss experimental evidence based on web-reading at scale about the economic agents (i.e. firms, universities, etc.) that are active in the AI space, as well as research using trademark data to shed light on firms developing and positioning AI-related goods and services in the marketplace. Panellists will discuss ongoing approaches and help explore ways forward to deepen our understanding.

Mariagrazia Squicciarini's documents

Disclaimer :The opinions expressed and arguments employed herein are solely those of the authors and do not necessarily reflect the official views of the OECD or its member countries. The Organisation cannot be held responsible for possible violations of copyright resulting from the posting of any written material on this website/blog.

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