Wim Naudé is Research Affiliate at ISDC, Visiting Professor at RWTH Aachen University and Research Fellow at the IZA Institute of Labor Economics, in Germany. He is also a Fellow at the Africa Study Centre at the University of Leiden, and a Full Professor atthe Maastricht School of Management, both in the Netherlands.
His research is broadly concerned with the role of entrepreneurship, innovation and technology in economic development, and how this is mediated by institutions, trade, geography and human nature. Currently he is working on the impacts of artificial intelligence on development, growth and security, and on the consequences of the 4th Industrial Revolution for development. He is co-director of the Research Unit for the Diffusion of Quality AI, a project located at Paderborn University in Germany and supported by the Volkswagen Stiftung.
He is the author of more than 50 scientific articles and have edited five volumes for Oxford University Press on entrepreneurship, industrialization, fragile states and structural change.
Recent articles include:
Intelligente Eindämmungsstrategien gegen COVID-19: Die Rolle von KI und großen Daten, Perspektiven der Wirtschaftspolitik, 2020,May, https://doi.org/10.1515/pwp-2020-0021
Artificial Intelligence vs COVID-19: Limitations, Constraints and Pitfalls, AI & Society, April, https://doi.org/10.1007/s00146-020-00978-0
Artificial intelligence versus COVID-19 in developing countries: Priorities and trade-offs. WIDER Background Note 2020/4.Helsinki: UNU-WIDER, 2020.
Refugee Entrepreneurship: Context and Directions for Future Research, Small Business Economics, 2020, March, https://doi.org/10.1007/s11187-019-00310-1
The Race for an Artificial General Intelligence: Implications for Public Policy, AI & Society, 2019, April, https://doi.org/10.1007/s00146-019-00887-x
The Intersection of the Fields of Entrepreneurship and Development Economics: A Review Towards a New View, Journal of Economic Surveys, 2019, 33 (2): 389-403,https://doi.org/10.1111/joes.12286
Non-Farm Enterprises in Rural Sub-Saharan Africa: New Empirical Evidence, Food Policy, 2017, 67: 175-19, https://doi.org/10.1016/j.foodpol.2016.09.019