This article discusses the development of simulation models in the energy education of tomorrow, in order to gain deeper insight into the functioning of technical installations. The related research focuses on designing a method to simulate complex hydraulic systems and to incorporate these simulations …

This poster depicts the development of a simulation model in the energy education of tomorrow, in order to gain deeper insight into the functioning of technical installations. The related research focuses on designing a method to simulate complex hydraulic systems and to incorporate these simulations …

Complex eHealth interventions—featuring multiple components within dynamic systems—are used for healthcare improvement. Public–private partnerships (PPPs), combining resources, expertise, and technology, are crucial in this context. Yet, integrating these interventions into practice remains challenging. …

The transition to sustainable energy is a complex socio-technical challenge that demands professionals capable of navigating its profound human dimensions. Moving beyond technical proficiency, this paper asks how we can train sustainable energy engineers to become more empathic, reflexive practitioners …

The energy transition requires engineers who can reason about complex renewable energy systems, diagnose faults, and work collaboratively in dynamic environments. Problem-Based Learning (PBL) is widely recognized for supporting such competencies, yet many engineering courses lack authentic contexts that …

The energy transition requires a workforce equipped with both hard and soft skills. However, current training often emphasizes technical competencies, resulting in skill mismatches, particularly among professionals transitioning from fossil fuel sectors. To support a just and inclusive transition, boundary …

Emergency responders (ERs) work in dynamic, complex, and unpredictable environments. The integration of increasingly advanced sensor and artificial intelligence technology affects the work processes and decision-making of ERs and leads to new challenges regarding efficient and responsible human-AI cooperation. …

Clinical Decision Support Systems (CDSS) are increasingly developed for hospital nursing practice, yet their impact on decision-making, workflow efficiency, and patient outcomes remains complex. This rapid review synthesizes findings from 21 studies, highlighting both the benefits and challenges of CDSS …

This guide was developed for designers and developers of AI systems, with the goal of ensuring that these systems are sufficiently explainable. Sufficient here means that it meets the legal re quirements from AI Act and GDPR and that users can use the system properly. Explainability of decisions is …

Chapter 1: General introduction. A specific group of people with disabilities includes individuals with profound intellectual and multiple disabilities (PIMD). However, individuals with PIMD form a heterogeneous group regarding the origins of their underlying conditions leading to profound disabilities …