About the Workshop
This workshop will bring together researchers in Computer Science, Statistics, Data Science and Finance, from academia, industry and the government, and will create a forum for discussing recent advances in analysis of Blockchains. In doing so we aim to better understand the practical requirements of this domain and the limitations of our current methods, and to inspire research on new algorithms and techniques for Blockchain Data Analytics.
8 November, 2019
The Blockchain technology garners an ever increasing interest of researchers in various domains that benefits from scalable cooperation among trust-less parties. As Blockchain applications proliferate, so does the complexity and volume of data stored by Blockchains. Analyzing this data has emerged as an important research topic, already leading to methodological advancements in the information sciences.
BDA'19 will bring together researchers in Computer Science, Statistics, Data Science and Finance, from academia, industry and the government, and will create a forum for discussing recent advances in analysis of blockchains. In doing so we aim to better understand the practical requirements of this domain and the limitations of our current methods, and to inspire research on new algorithms and techniques for Blockchain Data Analytics.
Topics of interest include, but are not limited to:
- Assessing relevance of news/blogs and social media posts on Blockchain related events and developments.
- Metrics, models and measurement of influence of Blockchain users and entities
- Detecting emerging Blockchain price behavior and anomalies
- Relevance, quality and vulnerability classification of smart contracts based on content and link structure
- Validating measures of influence and authority in blockchain networks
- Classification and topic modeling of cryptoassets (e.g., Ethereum tokens)
- Tracking market sentiment detection on different blockchain assets
- Tracking user/entity groups or the evolution of behavior over time
- Detecting ransomware payments
- Modeling and influencing diffusion of information in Blockchain networks, including the underlying P2P network
- Scaling algorithms to the size of the blockchains; coping with information overload, blockchain size and block generation speed
- Novel Blockchain applications
Submission deadline: Aug 28, 2019, 11.59pm USA Eastern Standard Time
Acceptance notification: September 4, 2019.
Camera-ready deadline: September 8, 2019.
How can I submit an article?
Please use this ICDM 2019 submission site.
Paper submissions should be limited to a maximum of 8 pages, in the IEEE 2-column format used by the IEEE ICDM 2019 conference, including the bibliography and any possible appendices. Submissions longer than 8 pages will be rejected without review.
All submissions will be triple-blind reviewed by the Program Committee on the basis of technical quality, relevance to scope of the conference, originality, significance, and clarity.
We do not accept email submissions.
Each submission should be regarded as an undertaking that, if the paper is accepted, at least one of the authors must register and attend the conference to present the work. No-show papers will not be included in the proceedings.
Note that all accepted papers will be included in the IEEE ICDM 2019 Workshops Proceedings volume published by IEEE Computer Society Press, and will also be included in the IEEE Xplore Digital Library. Therefore, papers must not have been accepted for publication elsewhere or be under review for another workshop, conferences or journals.
- Alexander Grablevski, Santiment LLC
- Bhavani Thuraisingham, University of Texas at Dallas
- Cuneyt Akcora, University of Manitoba
- Damiano Di Francesco Maesa, University of Cambridge
- Daniel Kondor, MIT
- Fergal Reid, University College Dublin
- Florian Tschorsch, Technical University of Berlin
- Ladislav Kristoufek, IES FSV Charles University
- Malte Möser, Princeton University
- Matthew Dixon, Illinois Institute of Technology
- Mehmet Sabır Kiraz, De Montfort University
- Tzanko Matev, Santiment LLC
- Vadim Sokolov, George Mason University
- Yahui Tian, Boehringer Ingelheim
- Yulia R. Gel, University of Texas at Dallas
Event venue location info and gallery
The event location will be announced.
We will be co-located with the main conference.
Please reach us for questions.