In Person
April 18, 2025

The 4th International Cryptoasset Analytics Workshop (CAAW 2025)

Join Exponential Science at the 4th International Cryptoasset Analytics Workshop (CAAW 2025) in Miyako-jima, Japan on the 18th of April 2025. This exclusive event brings together researchers and professionals from diverse academic and industry backgrounds to present the latest papers on the field and discuss the up-to-date methods employed in cryptoasset research. 

Held in collaboration with Financial Cryptography and Data Security 2025, CAAW 2025 invites participation from scientists, legal experts, and professionals with experience and curiosity to join a discussion of the most innovative solutions within the evolving cryptoasset space. The workshop will also address cross-cutting issues such as legal, ethical, privacy, and security concerns.

Exponential Science is proud to sponsor this event and together with CAAW 2025, we invite academics and researchers to submit their papers for an award with a chance to win a monetary prize and join us in advancing the field of cryptoasset analytics.

On the day of the event, the workshop will cover critical aspects of cryptoassets and their ecosystems, with a focus on analytics methods across all layers, from P2P networks and consensus to on-chain and off-chain analytics. Paolo Tasca, Co-Founder of Exponential Science will be giving a keynote speech.

What to expect:

  • In-Depth Program: A mix of talks and peer-reviewed research contributions, offering insights from experts in different fields of study.
  • Diverse Topics: Topics include empirical studies, analytics tools, case studies, datasets, and insights into legal and ethical challenges.

Important Dates for the Award:

  • Submission Deadline: 17th January 2025 (11:59 PM Anywhere on Earth)
  • Acceptance Notification: 16th February 2025
  • Camera-Ready Version: 23rd February 2025
  • Workshop Date: 18th April 2025

Organising Committee:

  • Bernhard Haslhofer, Complexity Science Hub Vienna, Austria
  • Friedhelm Victor, TRM Labs, USA
  • Jiahua Xu, The DLT Science Foundation and University College London, United Kingdom