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|Acronym=CAiSE 2019 | |Acronym=CAiSE 2019 | ||
|Title=31st Conference on Advanced Information Systems Engineering | |Title=31st Conference on Advanced Information Systems Engineering | ||
| + | |Ordinal=31 | ||
| + | |In Event Series=Event Series:CAiSE | ||
| + | |Single Day Event=no | ||
| + | |Start Date=2019/06/03 | ||
| + | |End Date=2019/06/07 | ||
| + | |Official Website=https://www.caise19.it/ | ||
|Type=Conference | |Type=Conference | ||
|Homepage=https://www.caise19.it/ | |Homepage=https://www.caise19.it/ | ||
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|pageEditor=User:Curator 27 | |pageEditor=User:Curator 27 | ||
|contributionType=1 | |contributionType=1 | ||
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}} | }} | ||
| − | ''The CAiSE conference will continue its tradition as the premiere venue for innovative and rigorous research across the whole spectrum of Information Systems Engineering, while placing a special emphasis on the theme of Responsible Information Systems. This year‚ the conference theme acknowledges the need for designing information systems that are not only flexible enough for digital transformation, but are also responsible by considering privacy, security, and ethical concerns and providing trustworthiness. | + | ''The CAiSE conference will continue its tradition as the premiere venue for innovative and rigorous research across the whole spectrum of Information Systems Engineering, while placing a special emphasis on the theme of Responsible Information Systems. This year‚ the conference theme acknowledges the need for designing information systems that are not only flexible enough for digital transformation, but are also responsible by considering privacy, security, and ethical concerns and providing trustworthiness.'' |
| − | |||
Contributions about methods, models, techniques, architectures and platforms for supporting the engineering and evolution of information systems and organizations could include (but are not limited to): | Contributions about methods, models, techniques, architectures and platforms for supporting the engineering and evolution of information systems and organizations could include (but are not limited to): | ||
| − | * | + | * |
| − | * | + | *Novel approaches to IS Engineering |
| − | * | + | *Context-aware and adaptive systems |
| − | * | + | *Agile enterprise models and architecture |
| − | * | + | *Distributed, mobile and open architecture |
| − | * | + | *IS for collaboration |
| − | * | + | *Social computing |
| − | * | + | *Customer analytics |
| − | * | + | *Big data application in IS |
| − | * | + | *Application of AI in IS |
| − | * | + | *Data and business analytics |
| − | * | + | *Use of new visualization techniques in IS |
| − | * | + | *Service science and innovation |
| − | * | + | *Models, Methods and Techniques in IS Engineering |
| − | * | + | *Conceptual modeling, languages and design |
| − | * | + | *Requirements engineering |
| − | * | + | *Business process modeling, analysis, and engineering |
| − | * | + | *Process mining |
| − | * | + | *Models and methods for evolution and reuse |
| − | * | + | *Domain and method engineering |
| − | * | + | *Variability and configuration management |
| − | * | + | *Compliance and alignment handling |
| − | * | + | *Active and interactive models |
| − | * | + | *Quality of IS models for analysis and design |
| − | * | + | *Architectures and Platforms for IS Engineering |
| − | * | + | *Big Data architectures |
| − | * | + | *Cloud-based IS engineering |
| − | * | + | *Service oriented IS engineering |
| − | * | + | *Multi-agent IS engineering |
| − | * | + | *Robotic Process Automation |
| − | * | + | *Multi-platform IS engineering |
| − | * | + | *Cyber-physical systems |
| − | * | + | *Big data and the Internet of Things |
| − | * | + | *Blockchains |
| − | * | + | *Digital twins |
| − | * | + | *Workflow and PAIS systems |
| − | * | + | *Handling of real time data streams |
| − | * | + | *Content management and semantic Web |
| − | * | + | *Domain Specific and multi-aspect IS Engineering |
| − | * | + | *IT governance |
| − | * | + | *eGovernment |
| − | * | + | *Smart City management |
| − | * | + | *Industrial ecology management |
| − | * | + | *IS for healthcare |
| − | * | + | *Educational IS |
| − | * | + | *Value and supply chain management |
| − | * | + | *Industry 4.0 |
| − | * | + | *Sustainability and social responsibility management |
| − | * | + | *Predictive information systems |
| − | * | + | *Big Data and privacy |
| − | * | + | *Security and safety management |
| − | * | + | *Dark data processing |
* | * | ||
Revision as of 12:40, 26 July 2022
The CAiSE conference will continue its tradition as the premiere venue for innovative and rigorous research across the whole spectrum of Information Systems Engineering, while placing a special emphasis on the theme of Responsible Information Systems. This year‚ the conference theme acknowledges the need for designing information systems that are not only flexible enough for digital transformation, but are also responsible by considering privacy, security, and ethical concerns and providing trustworthiness.
Contributions about methods, models, techniques, architectures and platforms for supporting the engineering and evolution of information systems and organizations could include (but are not limited to):
- Novel approaches to IS Engineering
- Context-aware and adaptive systems
- Agile enterprise models and architecture
- Distributed, mobile and open architecture
- IS for collaboration
- Social computing
- Customer analytics
- Big data application in IS
- Application of AI in IS
- Data and business analytics
- Use of new visualization techniques in IS
- Service science and innovation
- Models, Methods and Techniques in IS Engineering
- Conceptual modeling, languages and design
- Requirements engineering
- Business process modeling, analysis, and engineering
- Process mining
- Models and methods for evolution and reuse
- Domain and method engineering
- Variability and configuration management
- Compliance and alignment handling
- Active and interactive models
- Quality of IS models for analysis and design
- Architectures and Platforms for IS Engineering
- Big Data architectures
- Cloud-based IS engineering
- Service oriented IS engineering
- Multi-agent IS engineering
- Robotic Process Automation
- Multi-platform IS engineering
- Cyber-physical systems
- Big data and the Internet of Things
- Blockchains
- Digital twins
- Workflow and PAIS systems
- Handling of real time data streams
- Content management and semantic Web
- Domain Specific and multi-aspect IS Engineering
- IT governance
- eGovernment
- Smart City management
- Industrial ecology management
- IS for healthcare
- Educational IS
- Value and supply chain management
- Industry 4.0
- Sustainability and social responsibility management
- Predictive information systems
- Big Data and privacy
- Security and safety management
- Dark data processing
