| Beschreibung: |
Distributed Ledger Technologies (DLT) have recently gained much attention in academia and industry. Well-known examples are blockchain-based approaches for cryptocurrencies or smart contracts for the automated, distributed and transparent execution of algorithms without intermediaries. For introducing these technologies in real-life enterprise scenarios it is however essential to align them with business requirements and show their added value. For this purpose, methods of conceptual modeling can contribute for enabling the communication in organizations, deriving and aligning requirements for technical implementations or even creating code that can be executed using DLT. In this workshop we thus aim to bring together researchers working on the interface between conceptual modeling and DLT for presenting and discussing their most recent research results. The workshop will be held for the second time in the context of the ER'2020 conference in Vienna, Austria.
Topics for this workshop include but are not limited to the following: - Domain-specic modeling languages for blockchains and smart contracts
- Modeling the strategy, processes and implementation of decentralized organizations
- Enterprise architecture models utilizing DLT infrastructure
- Business process and workfow modeling and execution on the blockchain
- Modeling approaches for blockchains, smart contracts and decentralized applications (DApps)
- Model-driven engineering and generative approaches for blockchains and smart contracts
- Attestation and identity for blockchains and smart contracts utilizing conceptual models
- Collaborative modeling approaches using blockchain and DLT infrastructures
- Blockchains and DLT infrastructure for managing, versioning and collaborating on models
- Privacy, anonymity and data protection for enterprise models supported by blockchains
- Value creation and supply chain models for decentralized value creation
- Visualization of DLT infrastructure, blockchain transactions and smart contracts using conceptual models
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