Samuel Edet is a PhD researcher working with the laboratory for the Analysis for Complex Economic Systems (AXES) at the IMT School for Advanced Studies (Italy) and the Management, Strategy and Innovation (MSI) group at the Katholieke Universiteit Leuven (Belgium).
The focus of his research is to investigate innovation dynamics across global and non-global cities: their local and international connectedness, the economic complexity of their knowledge structure, the hazard cities face in exploring and absorbing new knowledge, and the role of collaboration and multinational corporations in the innovation performance of these cities. His research contributes to the growing discussion in the economics of innovation literature, and is very insightful for the development of strategic local policies geared towards increasing the innovative performance of cities.
He has a background in Applied mathematics. Prior to his doctoral program, his masters thesis on the application of deep learning models to financial market forecast was nominated for the 2017 Thomson Reuters excellence award for research in data science. He is a contributor to the forthcoming book Cross-Border Innovation in a Changing World: Players, Places and Policies published by Oxford University Press, and a reviewer for the journal Expert Systems with Applications.