The recent publications in the field highlight a significant shift towards enhancing interoperability, understanding complex systems, and leveraging advanced technologies for better decision-making and system design. A notable trend is the focus on developing ontologies and knowledge graphs to improve data interoperability and management across various domains, including healthcare, education, and enterprise systems. This approach not only facilitates a more seamless integration of data across different platforms but also enhances the ability to derive meaningful insights from complex datasets. Additionally, there is a growing emphasis on the application of complex systems theory in educational research, aiming to capture the dynamic and non-linear nature of learning processes. This shift is complemented by the development of tools and methodologies for formalizing and analyzing normative requirements in systems interacting with humans, ensuring these systems operate within socially, legally, and ethically acceptable boundaries. Furthermore, the field is witnessing an increased interest in life cycle assessment (LCA) of emerging technologies, with a focus on addressing the challenges and controversies surrounding best practices for assessing sustainability at early stages of technology development.

Noteworthy Papers

• A Tale of Two Models: Understanding Data Workers' Internal and External Representations of Complex Data: Explores the divergence between data workers' mental models and the reified data models, suggesting design interventions for data analysis tools.
• CSSDM Ontology to Enable Continuity of Care Data Interoperability: Introduces a Common Semantic Standardized Data Model (CSSDM) for creating personalized healthcare knowledge graphs, enhancing data interoperability in healthcare.
• Controversy and consensus: common ground and best practices for life cycle assessment of emerging technologies: Addresses key debates in LCA practices for emerging technologies, aiming to foster evidence-based discussions.
• Developing an Ontology for AI Act Fundamental Rights Impact Assessments: Presents a novel ontology for conducting Fundamental Rights Impact Assessments, supporting compliance with the EU AI Act.
• LEGOS-SLEEC: Tool for Formalizing and Analyzing Normative Requirements: Introduces a tool for specifying and analyzing normative requirements in systems interacting with humans, ensuring they operate within acceptable boundaries.