With textnets it is possible to visualize and analyze textual data in novel ways.

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Promotor: Prof.dr. J.N. Kok, Co-promotor: F.J. Verbeek

We explored how to morphologically classify well-resolved jetted radio-loud active galactic nuclei (RLAGN) in the LOw Frequency Array (LOFAR) Two-metre Sky Survey (LoTSS) using machine learning.

The Explainatory Data Analysis group develops algorithms and theory that enable domain experts to explain data by finding interpretable patterns and models.

In this publication, Prof. Tahir Abbas, Inés Bolaños Somoano, Joana Cook, Isabelle Frens, Graig R. Klein and Richard McNeil-Willson look into the manifesto that was linked to the Buffalo attack in order to better understand the broader context and specific factors that motivated the perpetrator.

Explore "Analysis of Repeated Measurements" at Boerhaave Nascholing. Learn statistical methods for correlated data in time. Read more here.

Overlevingsanalyse is een onderzoeksgebied dat zich richt op het bestuderen van de tijd tot het optreden van een specifieke uitkomst.

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The research of our group is centered around dynamical systems, functional analysis and their interplay.

A research data infrastructure in computational social science

The research of the Applied Mathematics cluster is concerned with such diverse topics as dynamical systems, representation theory, differential equations and pattern recognition.

Promotor: Prof.dr. E. Deprettere

The research of this programme is centered around dynamical systems, functional analysis, and their interplay.

This handbook provides a resource for those already familiar with some kinds of micro-particles who wish to learn more about others, or for those just starting out in the study of microremains who wish to have a broad understanding about microscopic archaeology.

Explore "Analysis of Repeated Measurements" at Boerhaave Nascholing. Learn statistical methods for correlated data in time. Read more here.

The focus of the Multicriteria Optimization and Decision Analysis (MODA) group is to develop foundations of methods in multi-objective optimization.

The volume is one-stop shopping for crisis studies and a number of closely related fields, providing a window onto the latest thinking in the field. The articles reflect cutting edge, state of the art scholarship and pose key questions for research and practical development.

The main methodological aspects of the use of stepwise LCA estimators under different circumstances.

Analysis of neuroimaging data requires multiple steps where statistics play a crucial role. The MRI methods research group develops new statistical methods that are accurate, transparent and easy to use.

The FoodWays team got to explore the edible plants in a nearby park, and collected the first plants for the nutritional analyses. This will help uncover the potential of these plants for the diets of early hominins.

Promotor: W.Th.F. den Hollander Co-Promotor: F.M. Spieksma

This thesis is based on five papers on several topics.

Systems pharmacology aims to apply techniques from systems biology to pharmacological models.

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This thesis seeks to combine two different research topics; Multi-Objective Optimization and Complex Network Analysis.

The Automated Design and Analysis of Algorithms (ADA) research group pursues the development of Artificial Intelligence techniques that complement, rather than replace, human intelligence.

This thesis explores Breaking of Ensemble Equivalence (BEE) in random graph models by examining the spectral properties of adjacency matrices. The goal is to identify spectral characteristics that differentiate random graph ensembles, enhancing the understanding of complex network structures and beh…

Are you thinking about studying Cultural Analysis: Literature and Theory? Learn more and watch the introduction video.

Promotor: B. van de Water, Co-Promotores: J.H.N. Meerman, F.J. Verbeek

This study is a critical discourse analysis of the misogynistic narratives shared by three incel violent extremists.

This MA explores contemporary literature and culture—art, film, pop music—through critical and theoretical lenses, including feminist theory, phenomenology, and ecocriticism. Key themes include diversity, interculturality, popular culture, and the intersection of culture, politics, and justice.

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Science is typically a patchwork of research contributions without much coordination. Especially in clinical trials, the follow-up studies that we do fail to be the most promising.

In meta-analysis, heterogeneity often exists between studies. In such cases, it is essential to investigate the sources of heterogeneity and understand the relationship between effect size and study characteristics (i.e., moderators).

Promotores: T.H.W. Bäck, A. Plaat, Co-promotor: F.J. Verbeek

This paper, written by Silvia D'Amato & Andrea Terlizzi, investigates the extent to which the European Union is strategically engaging against terrorism.

igraph development focused on improving the most-used interfaces, which are Python, R, and Mathematica. Additionally, the developers aim to make the library and the interfaces easier to maintain, focusing on long-term sustainability. This ensures that igraph continues to be a useful tool for network…

This project aims to improve understanding of, and responses to, the phenomenon of lone actors through analysis of comprehensive data on cases from across Europe.

How does the cluster bootstrap procedure in combination with various types of linear models perform in the analysis of longitudinal data, compared to other methods.

In this thesis, we have studied cell images from two types of cells, including pollen grains and the immune cells, neutrophils. These images are captured using a bright field microscope and a confocal microscope.

The chemical and structural heterogeneity of toxoid vaccines makes their analysis challenging. However, detailed insights on a molecular level can be obtained by mass spectrometry.

Understanding how data derived from wearable technology can be used to identify effective changes in behaviour that are likely to result in health improvements

We have studied shape with a particular focus on the zebrafish model system. The shape is an essential appearance of the phenotype of a biological specimen and it can be used to read out a current state or response or to study gene expression.

Thanks to data science, we can chart and search enormous quantities of related information. This generates all kinds of new insights, for example in complex global financial structures or such societal problems as loneliness.

The objective is to develop in vitro antigen degradation assays in order to mimic the fate of the antigen in vivo.

Doctoral Thesis