Applying insights and methods from the physical, mathematical, behavioral and computational sciences to blockchain
Blockchain technologies already impact the ways our technological and institutional environment will be shaped for decades to come. ChainScience is an event aimed at addressing the deepest and most challenging questions that remain unresolved about distributed systems and decentralized protocols.
Our purpose is to connect the researchers exploring the latest developments in blockchain technologies with industry leaders.
For further details about ChainScience, please visit the conference website.
Call for Papers
ChainScience brings together researchers, practitioners and industry experts across disciplines to discuss novel developments in the domains of blockchains, distributed ledger technologies, and related decentralized technologies. As such, computer scientists, security researchers, economists, and data scientists are the primary target of this conference. In structure, ChainScience follows the traditional open format primarily based on submitted and peer-reviewed work.
ChainScience is calling for submissions in the following areas of interest:
- Blockchain Forensics
- Blockchain Interoperability
- Blockchain Macroeconomics
- Blockchain Modeling and Analytics
- Blockchain Oracles and Data Integration
- Computation over Encrypted Data
- Design and Analysis of P2P Networks
- Formal Modeling of Tokenization
- Formal Proving Methods
- Governance and Voting Mechanisms
- Machine Learning for Blockchain
- Mechanisms of Distributed Consensus
- Novel Cryptographic Methods
- Novel Financial Instruments
- Preservation of Privacy
- Risk Analysis Methods for Blockchain
- Smart Contract Design and Security
- Statistics of Blockchain
- Useful Proof of Work
Other topics in distributed ledger technologies in the spirit of the above will also be considered.
Authors are invited to enter submissions describing original, previously unpublished work, not currently under review by another conference, workshop, or journal. Only PDF files will be accepted for the review process.
More instructions for submission(deadline: Extented to 15th May 2023): Submission Link