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Blockchain and Cryptocurrency Complexity

Blockchain seems to make possible the removal of any central authority for allowing payments by a digital coin, solving the risk of double-spending.                                                                                                                                                    In addition, from the publication of the white paper ‘Bitcoin: A peer-to-peer electronic cash system.’, many cryptocurrencies (or cryptos) have been launched, forming a rich and complex market.

In this scenario, many challenges show up, like those related to the energy consumption for running a Blockchain.

Here, modern Complexity Science is probably the right domain for analysing these emerging technologies and the related phenomena at different levels, e.g. economic, social, environmental, and many others.

Therefore, during this workshop, we would like to discuss questions as: What is the impact of Blockchain on our society? How can Blockchain shape online services in the future? How are cryptos affecting markets and payment methods?

To this end, we aim at gathering researchers from academia and professionals from the industry interested in this field.



There is no registration fee.

Researchers, professionals and people interested in this event must send an email to:

marcojavarone@gmail.com within Friday 29/10/21 11:30 am, communicating the following information: full name, affiliation, online/in-person participation.

Participants attending remotely will receive a link by email before the starting of the event.

Participants attending the workshop at CREF are required to register as soon as possible.


Blockchain and Cryptocurrency Complexity


03/11/21, CREF



09:45 – Welcome to participants (Luciano Pietronero, President of CREF)

10:00 – Marco A. Javarone, CREF – UCL CBT. Blockchain, Cryptocurrencies and theirComplexity.

10:25 – Andrea Baronchelli, City, University of London – UCL CBT. Collective dynamics of

dark web marketplaces.

10:50 – Silvia Bartolucci, UCL Computer Science – UCL CBT. Machine learning for cryptocurrency price prediction with social, trading and on-chain transactional indicators.


11:15 – Coffee break


11:45 – Didier Sornette, ETH Zurich. Bitcoin Blockchain Transaction dynamics and predictable bitcoin bubbles as innovation accelerators.

12:10 – Giordano De Marzo, CREF. Modelling innovation in the cryptocurrency market.

12:35 – Niklas Reisz, CSH Vienna. Kouzan, a blockchain application for recording knowledge transfers.


13:00 – Lunch


14:30 Tiziano Squartini, IMT Lucca. A network view of cryptocurrencies: the Bitcoin Lightning Network case study.

14:55 Alessio Pagani, nChain. On-chain verifiable computation.

15:20 Cristiano Esclapon. Energy and the intrinsic value of a Bitcoin.


15:45 Coffee break


16:15 Marco Corradino, DaChain.io. The weird world of NFTs. Artefacts from the future and stickers from the past.

16:40 Marco Trombetti, Pi Campus. TBA

17:05 Panel.

17:30 Conclusions