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Leonardo Rizzo is a PhD candidate in Network and Data Science at the Central European University.
His research focuses on the economic-managerial applications of network theory and agent-based simulation models.
He has collaborated with several organizations as a data scientist and financial administrator. He managed financial projects regarding social housing and renewable energies. He collaborated with the Complexity Science Hub in Vienna, worked in the New York delegation of Banca d'Italia and in the Directorate-General for Economic and Financial Affairs of the European Commission.
Education
PhD in Network and Data Science, Central European University (attending)
MRes in Economics, UCLouvain
MSc in Economic and Social Sciences, Bocconi University
BSc in Finance, Bocconi University
Publications
Borgonovo, E., Pangallo, M., Rivkin, J., Rizzo, L., & Siggelkow, N. (2022). Sensitivity analysis of agent-based models: a new protocol. Computational and Mathematical Organization Theory, 1-43.
Rizzo, L. (2019). News and Noise in the Great Depression. Working-paper.
Rizzo, L. (2018). Modeling Money Non-Neutrality in Macroeconomics: The Role of Money Illusion. Working
paper – Available at SSRN 3650471.
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