In this abstract we describe a computational approach for detecting discursive patterns in social media. Newsrooms of municipalities and public organizations such as the police follow public debate on social media to be aware of and prepare for local and global issues and rumors. The onset of these issues …

In cases of sexual assault, the interpretation of biological traces on clothing, and particularly undergarments, may be complex. This is especially so when the complainant and defendant interact socially, for instance as (ex-)partners or by co-habitation. Here we present the results from a study where …

Purpose Engineering knowledge continuity is crucial for the life cycle management of long-lived and complex assets, such as nuclear plants, locks and storm surge barriers. At the storm surge barriers in the Netherlands, engineering knowledge continuity is not yet fully assured, despite long-standing …

This PA project, part of the WUNDER initiative, examined the technical and visualization requirements of the WUNDER drought monitoring system for end-users, specifically farmers. Using the STEMMUS-SCOPE model, the system aims to identify the best strategies for managing and adapting agriculture and nature …

Organizations feel an urgency to develop and implement applications based on foundation models: AI-models that have been trained on large-scale general data and can be finetuned to domain-specific tasks. In this process organizations face many questions, regarding model training and deployment, but also …

One aspect of a responsible application of Artificial Intelligence (AI) is ensuring that the operation and outputs of an AI system are understandable for non-technical users, who need to consider its recommendations in their decision making. The importance of explainable AI (XAI) is widely acknowledged; …

One aspect of a responsible application of Artificial Intelligence (AI) is ensuring that the operation and outputs of an AI system are understandable for non-technical users, who need to consider its recommendations in their decision making. The importance of explainable AI (XAI) is widely acknowledged; …

This paper presents a Python script that automates the estimation of Yang & Zhang’s stock realized volatility proxy for univariate and multivariate cases. Yang & Zhang’s realized volatility is a stock volatility proxy commonly used by financial researchers and practitioners due to its unbiasedness in …

Learn hands on how to solve logistics use cases by means of a data science infrastructure stack. Building a data-driven infrastructure is crucial for leveraging the full potential of data. In this context, infrastructure refers to the full spectrum of software and technologies (and their interrelationships) …

Product service systems (PSS) are an example of a novel business model billed as having the potential to significantly reduce the environmental burdens of production and consumption processes. However, despite widespread interest in PSS, consensus regarding their actual environmental impacts, particularly …