Iacopo is a PhD Student in Mathematics at Queen Mary University of London, where he works within the Complex Systems and Networks Research Group, supervised by Vito Latora and Elsa Arcaute (Centre for Advanced Spatial Analysis, UCL). He is also collaborating with the Dynamical Systems and Statistical Physics Research Group, as part of the LoBaNet project. He spent a year at The Alan Turing Institute, the UK national institute for Data Science and Artificial Intelligence, as part of the enrichment doctoral scheme.
Previously, he worked at the ISI Foundation in Turin within the Data Science and Mathematics & Foundation of Complex Systems groups. Before, he was Data Science Intern at UN Universal Postal Union in Bern.
Iacopo's research interests include Complex Networks and Data Science, with a particular focus on social and spatial networks and their application to the study of human behaviour. He is also working on innovation dynamics, reinforced random walks, social contagion, and adoption processes.
- I. Iacopini, Schäfer B., Arcaute E., Beck C. & Latora V. (2020)
Multilayer modeling of adoption dynamics in energy demand management.
Chaos, 30, 013153.
- Iacopini, I. Petri, G., Barrat, A., & Latora, V. (2019).
Simplicial models of social contagion.
Nature Communications, 10(1), 2485.
- Bernini A., Blouzard E., Bracci A., Casanova P., Iacopini I., Steinegger B., Teixeira A.S., Antonioni A. & Valdano E. (2019)
Evaluating the impact of PrEP on HIV and gonorrhea on a networked population of female sex workers.
ArXiv preprint: arXiv:1906.09085
- Sigler, T. Martinus, K., Iacopini, I. & Derudder, B. (2019).
The role of tax havens and offshore financial centres in shaping corporate geographies: an industry sector perspective.
- Iacopini, I., Milojević, S., & Latora, V. (2018).
Network dynamics of innovation processes.
Physical review letters, 120(4), 048301.