Seminars Business Group: The De Vinci Research Center Business Group combines the expertise from research professors in innovation, marketing, human resources, and entrepreneurial strategy. Key areas of research include improving technological learning models, understanding the impact of digital strategies on business ecosystems, and improving B to B customer relationships.
Dr. Mariagrazia Squicciarini is Senior Economist – Head of Unit at the Organisation for Economic Co-operation and Development (OECD), within the Directorate for Science Technology and Innovation (STI). She is responsible for the OECD Working Party on Industry Analysis (WPIA), which develops indicators and quantitative analysis related to: the changing determinants of growth and productivity, including knowledge based capital (aka intangibles); Intellectual Property Rights (IPR); global value chains; and jobs and skills in the digital transformation.
She is responsible for the IPR-related data and analysis work carried out in the Directorate, and oversees the STI Microdata Lab initiative, a project linking micro-level data as firm-specific information, IPR- and scientific publication-data, for indicator and econometric analysis work in support of evidence-based policy making.
She chairs the OECD-led IP Taskforce, which coordinates the statistical and methodological work undertaken by OECD national and international institutions in the field of IPR, and organises the annual “IP Statistic for Decision Makers” conference.
She holds a Ph.D. in Economics from the University of Essex (UK) and has had previous appointments at VTT Technical Research Centre of Finland (FI), the University of Essex (UK), the European Commission-Joint Research Centre “Institute for Prospective Technological Studies”(IPTS, ES), and the Italian National Research Centre for the Development of Advanced Materials (CNRSM, IT). She has published a number of scientific papers and reports and acts as a reviewer for many international peer-review journals.
The “Jobs and Skills” module of the OECD Going Digital project aims to provide evidence in support of policy making about the speed, scale and scope of the digital transformation and the way going digital changes labour markets, jobs and the skills that workers need.
In particular, work focusing on the skill distances that emerge across occupations, in terms of cognitive and non-cognitive skills and personality traits (as defined in Grundke et al., 2017), aims to identify the skill-related improvements needed to transit across jobs.
Analysis estimating the differences in the risk of automation across workers, occupations and industries, further aims to characterise the skills of automatable jobs vis-à-vis those of less automatable ones.
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