This thesis examines schizotypal personality traits, risk factors for schizophrenia, through both frequentist and Bayesian network models. It replicates a prior frequentist analysis by Dodell-Feder et al. (2019) and introduces a Bayesian re-analysis …
The Transdisciplinary Global Health Challenge (TGHC) is an educational module, implemented within the Global Health minor programme at the Vrije Universiteit Amsterdam. In this module, students from diverse disciplinary backgrounds work together with …
Scientific findings often hinge on a single, opaque set of analytical decisions, obscuring how alternative approaches might affect results. The Journal of Robustness Reports (JRR) directly tackles this issue. As a new Diamond Open Access journal, it …
This project is a neuroscience-focused podcast that highlights the diverse and innovative research currently taking place across the Netherlands. By featuring conversations with researchers from various backgrounds and career stages (ranging from …
This study critically evaluated four wearable devices for their accuracy in measuring heart rate (HR) and heart rate variability (HRV) against a gold-standard monitor. Surprisingly, even a widely used research-grade device did not outperform consumer …
This study investigates the relationship between loneliness and support for populist radical right (PRR) parties. Drawing on data from over 40,000 individuals across nine European countries, the researchers conducted 25 preregistered analyses and …
The Corpus of Language Discrimination in Interaction (CLDI) is an open-access, transcribed video corpus capturing real-life instances of language-based discrimination in public spaces. Compiled from citizen recordings and security footage, it …
The ALL-IN-META-BCG-CORONA project is a prospective, living meta-analysis of clinical trials examining whether the BCG vaccine offers protection against COVID-19. It introduced a bottom-up approach to meta-analysis, emphasizing equal collaboration …
OpenMReye is an open-source toolset that enables eye tracking directly from MRI signals, eliminating the need for expensive MR-compatible camera systems. By using computational methods instead of hardware, it dramatically reduces costs, works on …