R. Belderbos, F. Benoit, S. Edet, M. Riccaboni, G.H. Lee, Global Cities’ Cross-Border Innovation Network In D. Castellani, A. Perri, V. Scalera, A. Zanfei, Cross-Border Innovation in a Changing World: Players, Places, and Policies, Oxford University Press, 2022.

• • Quoted in The Economist article: Can Silicon Valley Still Dominate Global Innovation?

S. Edet, P. Panzarasa, M. Riccaboni, Global Cities in International Networks of Innovators, Advances in Complex Systems, 2021.

Data Study Group Final Report: Cats AI, Communicating High-street Bakery Sales Predictions Using Counterfactual Explanations, The Alan Turing Institute, 2021.

Edet, Samuel, Recurrent Neural Networks in Forecasting S&P 500 Index (July 12, 2017). Available at SSRN: https://ssrn.com/abstract=3001046 or http://dx.doi.org/10.2139/ssrn.3001046 (Python Code)

• • Top 10% most downloaded paper on SSRN between 2017-2018.

  • Nominated for the 2017 Thomson Reuters Excellence award (category: student research in data science).

S. Edet, M. Riccaboni, Economic Complexity and Forecasting Competitiveness of Global Cities Using Machine Learning Approach. (target journal: Nature Scientific).

S. Edet, R. Belderbos, M. Riccaboni, Exploratory Innovation in Cities: Inter-City ties and Technological Relatedness. (target journal: Research Policy).

S. Edet, M. Riccaboni, Community Detection on Hypergraphs of Innovators in Global Cities. (target journal: Entropy Journal).

L.Yelibi, S. Edet, Time-series Pairwise Association Graphical Representation. (target journal: Journal of Finance).

S. Edet, Granger Causality Between Green Patent and Trade Networks (target journal: ???)

Lecture on Introduction to Machine Learning Algorithms, Data Science Nigeria Bootcamp, 2019.

IMT School for Advanced Studies Welcome Address, Italy, 2019.

Lecture on Feature Engineering, Data Science Nigeria, AI Hub, University of Lagos, 2018.