The 2nd International Workshop on Cryptoasset Analytics (CAAW)

May 1st, 2023 | Austin, Texas, USA
Co-located with The ACM Web Conference 2023

Photo by Lewis Guapo on Unsplash


February 25th, 2023: Camera ready deadline moved up to March 15. Reason: a platform change on the part of TheWebConference workshop committee.

February 6th 2023: Submission deadline extended to February 14th, 2023.

January 9th, 2023: Updated submission link.

December 1st 2022: Call for Papers has been published.


The 2nd International Cryptoasset Analytics Workshop (CAAW) brings together researchers from different academic disciplines to present their newest findings related to cryptoassets and their ecosystems; learn about novel analytics methods spanning all layers (P2P network, consensus, on-chain, off-chain); and discuss open challenges and possible future directions. Since cryptoasset analytics has become relevant across disciplines, we envision this workshop as an interdisciplinary venue, also connecting to cross-cutting issues related to law, ethics, privacy, and security.

The program of CAAW 2023 workshop (co-located with TheWebConf2023) features a mix of invited talks and a selection of peer-reviewed research contributions. Workshop topics range from empirical studies, over analytics methods and tools, to case studies, datasets, and cross-cutting issues like legal or ethical aspects. Scientists and professionals from all disciplines and sectors are invited to share their knowledge and experience in this niche intersection of Cryptoassets and Analytics through this workshop, as well as in the future iterations of CAAW.

Call For Papers

This workshop solicits submissions related to cryptoassets and their ecosystems. This includes empirical studies, analytics methods and tools, case studies and use cases, interfaces to web technologies, reusable datasets and cross-cutting issues.

Topics & Themes

Topics and themes of interest include but are not limited to:

  • Empirical studies that address various aspects of cryptoassets, blockchains, and related phenomena by measuring them, leading to new insight into system characteristics or user behavior. This includes, for example,
    • Cryptoasset networks, compositions, and dependencies
    • Smart contract interactions and dependencies
    • Decentralized Finance (DeFi) systems like stablecoins, lending protocols, derivatives, and decentralized exchanges
    • Transitions between DeFi protocols
    • Cross-chain interactions like bridges and atomic swaps
    • Layer-2 systems like off-chain networks and rollups
  • Analytics methods and tools at are suitable to be reused as part of future analytics processes, set new benchmarks, or significantly simplify basic analytics. Examples include:
    • Address clustering techniques
    • Anonymization and identification
    • Dataset extraction and labeling tools
    • Smart contract analysis (e.g., symbolic execution)
  • Case studies and use cases that focus on specific actors, protocols, services, or other phenomena that emerge, for example, in the following areas:
    • Markets and exchanges
    • Virtual Worlds, Blockchain-based Metaverses and Gaming
    • Security breaches
    • Fraudulent activities
  • Cryptoassets and the Web where Web technologies and standards interface with blockchain and technology and cryptoassets. Examples include:
    • Interfaces between traditional web payments and cryptoassets
    • Adoption and use of cryptoasset-related Web applications
    • Impact of cryptoassets on Web security and privacy
  • Datasets
  • that are suitable to be reused or may become benchmark datasets against which new methods can be evaluated and compared. Such datasets consist of, e.g.:
    • Account labels
    • Transaction labels
    • Timeframe labels
  • Cross-cutting issues
  • that exceed the scope of computer science and pay tribute to the interdisciplinary aspect of cryptoasset analytics, such as:
    • Legal and ethical aspects
    • Economics and econometrics
    • Sustainability

Research Papers & Submission Guidelines

The Cryptoasset Analytics Workshop (CAAW) welcomes submissions of papers documenting novel scientific research relevant to the topics of the conference. Submissions must be original and must not have been submitted for publication elsewhere. The review process is double-blind. The submitted document should not include any author names, affiliations, or other identifying information. This may include, but is not restricted to: acknowledgements, self-citations, references to prior work by the author(s) etc. Submissions not complying with this guidance will be desk-rejected.

We welcome three types of submissions:

  • Full Papers: Full paper submissions must not exceed 12 pages in length (maximum 8 pages for the main paper content + maximum 2 pages for appendices + maximum 2 pages for references).

  • Short Papers: Short paper submissions must not exceed 8 pages in length (maximum 6 pages for the main paper content + maximum 1 page for appendices + maximum 1 page for references).

  • Posters: Poster submissions must not exceed 3 pages in length (maximum 2 pages for the main paper content + maximum 1 page for appendices).

The papers must be formatted according to the instructions below. Papers not complying to the page limits or not following the formatting guidelines will be desk-rejected.

Submissions will be handled via Easychair, at Please take some time to include appropriate keywords for your submission.

The submitted abstract and keywords will be leveraged to find adequate reviewers for submitted papers. Please write an email to, if you have any questions.

Formatting instructions

Submissions must adhere to the ACM template and format published in the ACM guidelines at Please remember to add Concepts and Keywords. Please use the template in double-column format to prepare your submissions. For example, Microsoft Word users may use the Word Interim Template, and LaTeX users may use the sample-sigconf template.

Submissions for review must be in PDF format. They must be self-contained and written in English. The PDF files must have all non-standard fonts embedded. Submissions that do not follow these guidelines, or do not view or print properly, will be rejected without review.

Publication policy

The proceedings of the workshops will be published in the conference proceedings (companion volume), which are archived in the ACM Digital Library. At least one author of each accepted workshop paper has to register for the main conference. Workshop attendance is only granted for registered participants.

Important dates

  • Submission deadline: February 6, 2023 (11:59 PM Anywhere on Earth)
  • Submission deadline: February 14, 2023 (11:59 PM Anywhere on Earth)
  • Acceptance notification: March 6, 2023
  • Camera-ready version: March 15, 2023
  • Workshop: May 1, 2023


Organizing Committee

  • Bernhard Haslhofer, Complexity Science Hub Vienna, Austria
  • Friedhelm Victor, TRM Labs, USA
  • Markus Strohmaier, University of Mannheim, Germany
  • Jiahua Xu, University College London, United Kingdom

Program Committee

  • Svetlana Abramova, University of Innsbruck, Austria
  • Rachit Agarwal, Merkle Science
  • Stefano Balietti, University of Mannheim, Germany
  • Alexander Eisl, ABC Research, Austria
  • Cuneyt Gurcan Akcora, University of Manitoba, Canada
  • Carlo Campajola, University of Zurich, Switzerland
  • Yebo Feng, University of Oregon, USA
  • Sean Foley, Macquarie University, Australia
  • Honglin Fu, University College London, United Kingdom
  • Bruno Goncalves, TRM Labs, USA
  • Sourav Sen Gupta, imec Leuven, Belgium
  • Martin Harrigan, South East Technological University, Rep. of Ireland
  • Aljosha Judmayer, SBA Research, Austria
  • Kwok-Yan Lam, Nanyang Technological University, Singapore
  • Patrick McCorry, Infura
  • Malte Möser, Chainalysis, USA
  • Pietro Saggese, Complexity Science Hub Vienna, Austria
  • Stefan Schmid, Technische Universität Berlin, Germany
  • Sandeep Shukla, IIT Kanpur, India
  • Georgios Smaragdakis, TU Delft, Netherlands
  • Claudio J. Tessone, University of Zurich, Switzerland
  • Kentaroh Toyoda, A*STAR SIMTech, Singapore and Keio University, Japan
  • Edgar Weippl, University of Vienna, Austria
  • Teng Andrea Xu, EPFL, Switzerland
  • Victor von Wachter, Copenhagen University, Denmark
  • Marcus Wunsch, Zurich University of Applied Sciences, Switzerland


Contact the organizers at