This paper discusses sketching as a spatial and embodied ethnographic research method. Rather than a means to represent fieldwork experiences in quasi-photographic images, this method prompts researchers to slow down and open their senses. In doing so, sketching can initiate an imaginative and interpretive …

This paper presents ‘hybrid dialogic member checking’, which combines collective resonance with the analytic deepening of qualitative findings through short, in-company dialogic group sessions, hence the term ‘hybrid’. These sessions served a dual purpose: examining how preliminary interpretations resonated …

The AI Act, effective from August 1, 2024, introduces EU-wide standards to ensure the ethical and safe use of artificial intelligence (AI). Dutch municipalities must be fully compliant by 2026, navigating complex legal and operational challenges. This study assesses their readiness through survey data …

In the past years, professional musicians of participatory music practices in healthcare contexts have increasingly worked as artistic allies for care. The musicians shaping these practices have developed ways of engaging with patients and their families, collaborating with healthcare professionals, …

Background/Objectives: Digital technologies and data-driven approaches are rapidly transforming healthcare practice and enabling more personalized and preventive care. As personal health data becomes increasingly embedded in healthcare systems, understanding how future healthcare professionals interpret …

Traditional scientific research has produced valuable knowledge, yet its linear, top-down logic often fails to address the complexity of local communities. This results in a gap between knowledge and action, where interventions lack legitimacy and impact. Participatory Action Research (PAR) has emerged …

Purpose: To suggest how business schools can respond when generative AI automates routine, entry-level tasks and erodes early-career opportunities. The paper addresses a focused question: What can a business school do when graduates’ entry-level jobs are replaced or reconfigured by AI? Approach: This …

This chapter aims to raise awareness about the ethical considerations surrounding the use of AI in medical imaging and radiography. It emphasises the importance of integrating both medical ethical principles (beneficence, non-maleficence, respect for autonomy, and justice) and ethical AI principles. …

Reinforcement learning offers a promising approach for personalized, early-stage detection of behavioral events such as agitation in individuals with dementia, particularly when contextual insights from care staff are integrated. Given the scarcity and the ethical constraints of real-world agitation …

This study addresses the growing need for ethical guidelines for artificial intelligence (AI) in education research by testing and refining procedures for responsible experimentation with AI in educational settings. The researchers engaged 21 Dutch Institutional Review Board (IRB) members across two …