Foto del docente

Tommaso Rughi

Researcher art. 22 L. 240/10 (fixed-term)

Department of Legal Studies

Research

Keywords: Industrial Dynamics, Innovation and Patents, Technological Change, Twin Transition, Labor Market Impacts of Twin Transition, Applied Econometrics, NLP for Economic Data, AI and Industry

1. Green transition and industrial and employment impacts

Micro-technological analysis: detailed investigation of green technologies through textual analysis of patents, aimed at identifying potentially critical technological subsets from an employment perspective, in particular labor-saving green technologies. The approach includes the development of employment risk indicators linked to measures of similarity between occupations and green automation technologies, assessing the possible implications for the most exposed occupations.

Sectoral analysis: assessment of green transition processes at the industrial sector level, including technological mapping and analysis of employment and wage impacts, with the aim of understanding the aggregate dynamics of green industrial transformation.

 

2. Artificial Intelligence Industry

Analysis of the AI sector as an industrial and technological phenomenon, through the study of technological knowledge networks based on patent citations and scientific publications, the assessment of industrial concentration levels, innovation dynamics, and barriers to entry.

 

3. Methodological limits of economic growth and alternative indicators of well-being, territorial inequality

Study of the multidimensional effects of economic growth on quality of life and well-being, using alternative indicators such as those of the BES (Equitable and Sustainable Well-being) at the local level. The aim is to understand the trade-offs between economic development and social and environmental sustainability, offering tools for comparative analysis between territories.

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