Data Science and Complexity on the Blockchain

Call for Submissions

The scope of the CDB workshop is to foster the interaction between different communities actively working in mining, analyzing, and modeling blockchain datasets that capture the dynamical nature of cryptocurrency transactions.

led by
Aymen Jaffry,
Machine Learning Lead, TRM Labs
Bruno Gonçalves,
Research Data Scientist, TRM Labs
1 day workshop, CCS 2022
Palma de Mallorca, Spain
Important Dates
  • Aug 31, 2022 — Workshop papers submission. [EXTENDED DEADLINE]
  • Sep 15, 2022 — Workshop paper acceptance notification.
  • Oct 20, 2022 — Workshop date.



TRM - Introduction to Blockchain Data Science


Invited 1 - Sarah Meiklejohn - How to Peel a Million: Validating and Expanding Bitcoin Clusters


Invited 2 - Andrea Baronchelli - Self-organisation in the Blockchain Ecosystem


Contributed 1 - Non-Markovian paths and cycles in NFT trade


Contributed 2 - Clubs of wallets: a dive into the mesoscopic features of NFT transaction networks


Contributed 3 - Financial Correlations in Ethereum ERC-20 Cryptoassets


Invited 3 - Friedhelm Victor - Disentangling Decentralized Finance (DeFi) Compositions


Contributed 4 - Twisted by the Pools: Detection of Selfish Anomalies in Proof-of-Work Mining


Contributed 5 - Consensus formation on heterogeneous networks


The workshop aims at creating a fertile ground where to discuss a wide variety of approaches used to study cryptocurrencies, NFTs, token economics, DeFi and smart contracts. In particular, the workshop will stimulate the crosspollination between novel data mining techniques, used to effectively collect, represent, and explore large-scale blockchain datasets, and blockchain economical activity. The end result will be not only a view of the state of the art in this important and growing field but also a common framework to help shape its future development.

Call for Submissions

Satoshi Nakamoto, the pseudonymous creator of Bitcoin, published his famous white paper in the aftermath of the 2008 financial crisis and created the first successful crypto currency. Bitcoin, by proving that it is possible to bring trustless, anonymous transactions to millions of users around the globe, has proven to be an overwhelming success and the starting point of a financial services revolution.

In the years since, several thousand other cryptocurrencies, (Ethereum, Dogecoin, Solana, Cardano, Monero, etc) and crypto tokens (ShibaInu, Basic Attention Token, Tether, Bankcor, USDCoin, Dai) have been launched. Each of these specializes in solving a specific problem, optimizing a given task or in developing a new technology.

Despite their differences all these crypto assets share one point in common: they rely on a public ledger (in the form of a blockchain) that includes all of their transactions in a way that can be publicly extracted and analyzed, providing us with an unprecedented view of an entire economical system.

The goal of this workshop is to bring the attention of the complexity community to this wealth of data, highlight some of the recent developments in this area and the exciting new avenues for research that it opens up.The analysis of this kind of data is intrinsically interdisciplinary, with direct applications to complex networks, data science, computer science, game theory, economics, finance, social science, etc making it highly appealing to Complexity researchers.

We welcome extended 2-page abstract submissions of preprints or previously published manuscripts. Extended abstracts should include one figure, legend and 2-3 relevant references, plus the full paper reference if already available.

Submissions must be written in English and must be submitted electronically through the EasyChair submission page. The review process will be single-blind (i.e., submissions do not need to be anonymized).

Topics of Interest
  • Blockchain Analytics
  • Transaction Analysis
  • Non-Fungible Tokens (NFTs)
  • Money Laundering
  • Wash Trading
  • Fraud Detection
  • Token Economy
  • Decentralized Finance (DeFi)
  • Smart Contracts
  • Transaction Graph Motifs
  • Wallet Clustering
  • Entity Resolution
Submit an Abstract
THE Venue

The workshop will take place as part of the 2022 edition of the Conference on Complex Systems, in Palma de Mallorca, Spain.

Auditorium of Palma de Mallorca Convention Center
Paseo Marítimo, 18 - 07014 - Palma de Mallorca, Illes Balears (Spain)

Meet the organizers


Aymen Jaffry, Machine Learning Lead, TRM Labs

Aymen Jaffry leads Data Science at TRM Labs. Previously, he was a Research Scientist at Yieldmo, a programmatic advertising startup where he focused on streaming click-through rate prediction. He holds an M.S. of Computational Science and Engineering from Harvard University, and a Master of Applied Mathematics from Ecole Centrale Paris, France.


Bruno Gonçalves, Research Data Scientist, TRM Labs

Bruno Gonçalves is a Research Data Scientist at TRM Labs working on Blockchain transaction patterns. Previously, he was a VP of Data Science at JPMC, and a Data Science fellow at NYU's Center for Data Science while on leave from a tenured faculty position at Aix-Marseille Université. Since completing his PhD in the Physics of Complex Systems in 2008 he has been pursuing the use of Data Science and Machine Learning to study Human Behavior. In 2015 he was awarded the Complex Systems Society's 2015 Junior Scientific Award for "outstanding contributions in Complex Systems Science" and in 2018 was named a Science Fellow of the Institute for Scientific Interchange in Turin, Italy.

About TRM Labs

This workshop is hosted by TRM Labs, the blockchain intelligence company. We work with crypto businesses, financial institutions and government agencies to monitor, detect and investigate fraud and financial crime in crypto.

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