Cryptocurrency economics; social dynamics of cryptocurrency adoption; incentive schemes; governance; scalability of blockchain-based systems; consensus dynamics.
“The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy”. Journal of the Royal Society: Interface, pp. 20140623, vol. 11 (2014)
“Taxonomy of Blockchain Technologies: Principles of Identification and Classification”. Under review in Ledger (2018), arXiv:1708.04872
- In August 2017: Complex Socio-Technical Systems (Shanghai University for Finance and Economics), which was partially devoted to the topic.
- During Spring Semester: Seminar Economics of Blockchain-based Systems (3 ECTS Ponts), for Bachelor students of Oec Faculty.
- Spring 2018, took part of the UCL Executive Education Programme on Blockchain
- As of Spring 2018, he has supervised multiple Masters and Bachelor Thesis on: Mircoeconomics of Cryptocurrencies, Cryptocurrencies and ICO pricing, business models, Consensus algorithms,
Cartel mining, etc.
Network-based indicators of Bitcoin bubbles, A. Bovet, C. Campajola, J. F. Lazo, F. Mottes, I. Pozzana, V. Restocchi, P. Saggese, N. Vallarano, T. Squartini, C. J. Tessone, Submitted 11 May, 2018
Taxonomy of Blockchain Technologies. Principles of Identification and Classification, Under revision in Ledger (second round), P. Tasca, T. & C.J. Tessone
The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy