Topics of Contribution The topics of contribution include but are not limited to: Novel Approaches to IS Engineering Artificial Intelligence including generative AI and Machine Learning Robotic Process Automation (RPA) Big Data, Data Science and Analytics Blockchain applications in IS Simulation and Digital Twins IS for collaboration and social computing Virtual Reality / Augmented Reality Context-aware, autonomous and adaptive IS Models, Methods and Techniques in IS Engineering Ontologies and Ontology Engineering Conceptual modeling, languages and design Requirements engineering Business process modeling, analysis and improvement Process automation, mining and monitoring Models and methods for evolution and reuse Low-code/no-code technology Domain and method engineering Product lines, variability and configuration management Compliance and alignment handling Active and interactive models Quality of IS models for analysis and design Visualization techniques in IS Decision models and business intelligence Knowledge graphs Human-centered techniques Architectures and Platforms for IS Engineering Distributed, mobile and open architecture Big Data architectures Cloud- and edge-based IS engineering Service oriented and multi-agent IS engineering Multi-platform IS engineering Cyber-physical systems and Internet of Things (IoT) Workflow and Process Aware Information Systems (PAIS) Handling of real time data streams Content management and semantic Web Crowdsourcing platforms Conversational agents (chatbots) Microservices design and deployment Domain-specific and Multi-aspect IS Engineering IT governance eGovernment Autonomous and smart systems (smart city management, smart vehicles, etc.) IS for healthcare Educational Systems and Learning Analytics Value and supply chain management Industry 4.0/Industry 5.0 Sustainability and social responsibility management Privacy, security, trust, and safety management