The Netherlands is undergoing a massive (re)construction challenge. In addition to building new housing, a substantial part of the existing building stock of housing corporations is undergoing renovation. This renovation challenge has varying interactions with the energy transition, testified by the …

At the macro level, the Netherlands has become an agricultural giant thanks to its efficient, intensive farming practices. At the micro level, farmers are under pressure to make ever-larger investments and focus heavily on improving operational efficiency. This has led to a series of business decisions, …

Business model innovation (BMI) in smart industry contexts requires tools that simultaneously provide analytical rigor for modeling multi-actor value networks and collaborative engagement for facilitating cross-organizational innovation. Current BMI tools force practitioners to choose: ontology-based …

This study investigates the integration of biochar production with CCS as a hybrid biomass-based CDR pathway that could enhance net carbon sequestration while reducing pyrolysis-related CO2 emissions. Biochar and BECCS are often treated as separate options, even though they rely on similar biomass supply …

Abstract from EHRCON25-openEHR International Conference 2025. The increasing demand for structured high-quality clinical data for AI and decision support systems highlights the shortcomings of current healthcare data infrastructure, particularly its misalignment with FAIR [1] data principles (Findable, …

Recent debates in rural development suggest a growing interest in integrating landscape-based knowledge into participatory decision-making. This study contributes to this discussion by examining how landscape—understood as the interplay between human actions, natural processes, and soil systems—can be …

The use and adoption of Artificial Intelligence (AI) in our society is growing rapidly (Maslej 2025). Alongside this growth, the importance of specific ‘competencies’ that users need to effectively interact with and critically evaluate AI is becoming increasingly important (Long en Magerko 2020). This …

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 paper addresses the challenge faced by call center operators supporting family members of individuals with Substance Use Disorders (SUDs), particularly the difficulty of detecting emotional distress in callers during high-pressure interactions. We developed a lightweight, real-time Speech Emotion …

Value Sensitive Design (VSD) offers a principled framework for embedding human values into technology, yet its practical application remains challenging due to unclear demarcations between its conceptual, empirical, and technical investigation types. This paper addresses the gap between VSD theory and …