Digital forensic scientists primarily rely on individual internal reasoning and categorical conclusions when evaluating evidence in casework. This can make it difficult to maintain structured reasoning that is logically sound, balanced, robust, and transparent. Trojan horse defense cases exemplify these …

The workload in the healthcare sector is increasing, requiring the need for innovative solutions. One such solution is for AI to assist in clinical decision-making by extracting information from patient’s records. To ensure healthcare professionals stay in the lead, the reasoning of the AI should be …

We developed a lesson where students construct a qualitative representation to learn how clock genes are regulated. The lesson, designed for upper secondary and higher education, is implemented in the DynaLearn software (level 4), which allows for modelling feedback loops. Students construct the representation …

We present GarpN, a software tool designed to integrate qualitative and quantitative modelling. GarpN has three functionalities: translating a qualitative representation into a quantitative model, running numerical simulations and detecting quantitative states, and matching these states to their qualitative …

This paper describes the development of a systemsbased reference model to support teachers in learning about collaborative learning among teachers. By representing collaborative dynamics into a formal model, the project offers a tangible means to support sustained, collective professional growth. The …

ENPICOM is a biotechnology company shifting its focus toward machine learning operations (MLOps), but its branding did not reflect this change. Brand materials were inconsistent and lacked a clear direction, which made it difficult for designers and marketers to maintain a unified identity. This project …

We developed a lesson where students construct a qualitative representation to learn how clock genes are regulated. Qualitative representations provide a non-numerical description of system behavior, focusing on causal relation-ships and system states. They align with human reasoning about system dy-namics …

In 2016, a selective preventive spinal immobilization protocol for emergency medical service (EMS) nurses was introduced in the Netherlands. This protocol leaves more room for autonomous decision-making in the pre-hospital phase regarding preventive spinal immobilization (PSI), compared to the previous …

Oncology physiotherapists frequently provide care for patients experiencing severe immunosuppression. Exercise immunology, the science that studies the effects of exercise on the immune system, is a rapidly evolving field with direct relevance to oncology physiotherapists. Understanding oncology physiotherapists’ …

Agent-based modeling (ABM) is a widely used method for evaluating demand response (DR) strategies. To comprehensively assess the impact of DR strategies on a district cooling system, the integration of building managers’ DR behavior is essential. However, most ABM studies focus on technical optimization …