In our world of VUCA (volatile, uncertain, complex and ambiguous), a capacity for change and adaption is vital. However, changing successfully has been a challenging task for both individuals and organizations. Taking into account the insights of neuroscience, this chapter introduces a framework of change …

Remaining Useful Life (RUL) estimation is directly related with the application of predictive maintenance. When RUL estimation is performed via data-driven methods and Artificial Intelligence algorithms, explainability and interpretability of the model are necessary for trusted predictions. This is especially …

In this paper we propose a novel approach for validating a simulation model for a passengers' airport terminal. The validation approach is based on a "historical data" and "model-to-model" validation approach, and the novelty is represented by the fact that the model used as comparison uses historical …

In this project we take a look at the laws and regulations surrounding data collection using sensors in assistive technology and the literature on concerns of people about this technology. We also look into the Smart Teddy device and how it operates. An analysis required by the General Data Protection …

Digital innovation in education – as in any other sector – is not only about developing and implementing novel ideas, but also about having these ideas effectively used as well as widely accepted and adopted, so that many students can benefit from innovations improving education. Effectiveness, transferability …

"Despite many efforts, people with a refugee background still have great difficulties to find a job on the Dutch labour market. This has adverse consequences for the economic independence of people with a refugee background, their social connections, personal development, health and general well-being, …

Graphs are ubiquitous. Many graphs, including histograms, bar charts, and stacked dotplots, have proven tricky to interpret. Students’ gaze data can indicate students’ interpretation strategies on these graphs. We therefore explore the question: In what way can machine learning quantify differences in …

These conference proceedings to the 10th annual conference of the AESOP Sustainable Food Planning group are organised as follows: the following four sections contain the short papers belonging to the four tracks that made up the conference (social inclusion; urban agriculture; urban planning, design …

Multilevel models (MLMs) are increasingly deployed in industry across different functions. Applications usually result in binary classification within groups or hierarchies based on a set of input features. For transparent and ethical applications of such models, sound audit frameworks need to be developed. …