Context-Aware Change Pattern Detection in Event Attributes of Recurring Activities -- Towards a UML Profile for Designing Smart IoT Data-Centric Applications -- An End-to-End Approach for Online Decision Mining and Decision Drift Analysis in Process-Aware Information Systems -- Towards Designing Energy-Aware Cybersecurity Policies -- Data-Driven Methodology for Guiding the Selection of Preprocessing Techniques in a Machine Learning Pipeline -- Parsing causal models - an instance segmentation approach -- Visualising Personal Data Flows: Insights from a Case Study of Booking.com -- Rsourcer: Scaling Feedback on Research Drafts -- Recommining: Learning relations between event log characteristics and machine learning approaches for supporting predictive process monitoring -- A Goal-Driven Approach to Support Decision-Making with Incomplete Information in Cyber Operations -- Integrating IoT-Driven Events into Business Processes -- Adaptive Task-oriented Chatbots Using Feature-based Knowledge Bases -- An AI-based Writing Assistant for Legal Users -- AIDA: A Tool for Resiliency in Smart Manufacturing -- Conceptual Formalization of Massive Storage for Advancing Decision-making with Data Analytics -- Towards Leveraging Tests to Identify Impacts of Metamodel and Code Co-evolution -- Advancing IS Strategy for Natural History Museums with Method Engineering in the Digital Age -- The KYKLOS Tool for Modeling Changing Capabilities.