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.

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.

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

The Institute of Environmental Sciences has carried out and participates in several projects that deal with the analysis of energy systems.

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

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

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

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

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

Obtaining imaging data is nowadays only the start of your project. Once the data has been acquired there are many things that still need to be done.

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.

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

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

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.

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.

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

A research data infrastructure in computational social science

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

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

The master in Cultural Analysis: Literature and Theory at Leiden University studies contemporary literature and culture (art, cinema, pop music) from a theoretical, critical perspective, with special emphases on approaches developed in cultural and literary studies, feminist theory, phenomenology and…

Promotor: Prof.dr. E. Deprettere

Can we develop a platform for raw materials intelligence?

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

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.

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

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.

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

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.

The wealth of shoes, sandals and other footwear from ancient Egypt is poorly understood due to lack of research. This is remarkable, because from the very beginning of Egypt’s long history footwear served practical as well as more spiritual purposes.

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).

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…

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

D2.2 comprises the in-depth legal analysis of the initial heuristic model, focused on addressing, in more detail, the main legal concerns for data reusers in the European data economy. This detailed analysis of the legal propositions presented in D2.1 is supplemented by an analysis of the technological,…

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.

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.

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

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Analytical tools for environmental design and management in a systems perspective. The combined use of analytical tools.

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.

D1.2 reports on the findings of an analysis of framework conditions relevant in the context of the data economy from a legal, a socio-economic and a technological perspective. The analysis is a key foundation for the creation of an initial, heuristic model of the European data economy. The deliverable…

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.