About the Workshop
The workshop will offer a systematic linkage between AI and Blockchains and explore research challenges that arise at the forefront of AI and a broad range of Blockchain applications. The workshop will bring together researchers in Computer Science, Finance, Statistics, and Data Science, from academia, industry and the government, and will create an open interdisciplinary forum for discussing recent advances at the intersection of AI and Blockchains. In doing so, we aim to better understand the practical requirements of this domain and limitations of our current methodology – thereby, inspiring development of new algorithms for Blockchain Data analytics and leveraging Blockchains for trustworthy AI applications.
Will be announced.
The Blockchain technology garners interest of researchers in various domains that benefit 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. Although there is a vast quantity of information available, the consequent challenge is to develop tools and algorithms to analyze the large volumes of user-generated content and transactions on Blockchains.
The analysis of Blockchain data raises several interesting questions:
- Given the massive amount of data on cryptocurrencies and Blockchain platforms, how can we identify the subset of content (e.g., transactions, smart contracts, and tokens) that are created by a specific user or group of users?
- Having identified this subset of relevant content, how do we identify the most authoritative or influential users and entities in Blockchains?
- How do we detect and characterize specific features most relevant to the dynamics of a cryptocurrency, token and asset?
- How do we extract and identify emerging behavior and anomalies in transactions, contracts and data pieces from the continuous flow of data blocks?
- How to use Blockchains to securely share AI models? Can Blockchains be used to increase the accountability and transparency of AI models?
- Can Blockchains be used to increase trust in Federated Learning Applications?
Submission deadline: September 15, 2020 (23:59:59 PST).
Acceptance notification: September 25, 2020.
Camera-ready deadline: September 21, 2020.
How can I submit an article?
Please use this CMT submission site.
Please keep your paper format according to IJCAI Formatting Instructions. For Formatting Guidelines, LaTeX Styles and Word Template, see more information on https://www.ijcai.org/authors_kit
We do not accept email submissions.
Authors may submit *long papers* (6 pages plus up to unlimited pages of references). Reviews are double blind, so no identifying information should be on the papers.
- Alexander Grablevski, Santiment LLC
- Cuneyt Akcora, University of Manitoba
- Matthew Dixon, Illinois Institute of Technology
- Mehmet Sabır Kiraz, De Montfort University
- Tzanko Matev, Santiment LLC
- Yahui Tian, Boehringer Ingelheim
- Yulia R. Gel, University of Texas at Dallas
- Yuzhou Chen, Southern Methodist University
- Önder Gürcan, CEA LIST
Here are our sponsors
Event venue location info and gallery
The event will be online.
We will be co-located with the main conference.
Please reach us for questions.