Stefania Innocenti

University of Oxford

Papers

1

Total Citations

68

H-Index

1

About

Stefania Innocenti is a leading scholar at the intersection of labor economics, behavioral economics, and the future of work. Her research critically examines how individuals and societies adapt to technological disruption, with a particular focus on human capital investment in the age of automation and artificial intelligence. In her highly influential work, "Human capital investment and perceived automation risks: Evidence from 16 countries" (2022, 68 citations), Innocenti demonstrates that workers' perceptions of automation threats significantly shape their decisions to invest in new skills—a finding with profound implications for education and labor policy. By linking behavioral traits such as risk preferences and locus of control to skill acquisition strategies, she provides a nuanced understanding of why some workers proactively adapt while others fall behind. Her work has been instrumental in informing policy debates on reskilling and lifelong learning, earning her recognition as a key voice on the economic consequences of AI. With a growing citation record and a research agenda that bridges cutting-edge technology and human behavior, Innocenti continues to shape how we think about the future of employment and the policies needed to support workers in transition.

Research Focus

Key Achievements

1
H-Index
1
Papers
68
Total Citations
68
Avg Citations/Paper
🏆 Most Cited Paper
Human capital investment and perceived automation risks: Evidence from 16 countries
68 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: University of Oxford

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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