Promotor: J.N. Kok, Co-Promotor: A.J. Knobbe

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

Explaining treatment response variability between and within patients can support treatment and dosing optimization, to improve treatment of individual patients.

The master’s programme Statistics & Data Science provides students with a thorough introduction to the general philosophy and methodology of statistical modelling and data analysis. The programme has two specialisations: Data Science and Statistical Science.

Predictive maintenance (PdM) is a maintenance policy that uses the past, current, and prognosticated health condition of an asset to predict when timely maintenance should occur.

Social science research helps us understand human behaviour and social structures. These are determined by various factors, which makes the research complex and increases the likelihood of drawing the wrong conclusions. The choice of research method and analysis is therefore extremely important. It…

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Combining results from bibliometric analyses, a global sample of researcher opinions and case-study interviews, a new report reveals that although the benefits of open research data are well known, in practice, confusion remains within the researcher community around when and how to share research…

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

Health Data Science Leiden University

We explored the Universe using weak gravitational lensing, a phenomenon that occurs when light from distant galaxies is bent by the gravitational fields of closer cosmic objects, much like how a lens distorts light.

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.

The extensive use of electronic communication channels and other devices has opened new possibilities for collecting data on human behavior. This information is sometimes openly accessible, but largely part of administrative registration systems that are not open to the broader public. The data provides…

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

A research data infrastructure in computational social science

Data reuse and big data: a taxonomy for personal data reuse.

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

By comparing individual health data with population data, doctors can provide personalized health advice and patients can learn from each other's experiences. Wessel Kraaij, professor of Applied Data Analytics shows how personal data can have predictive value.

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

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

The Sport Data Center, a consortium of universities of which Leiden University is leader, is recognised as a Certified Partner of Sportinnovator. This makes the Sport Data Center an important part of the Sportinnovator ecosystem. Sportinnovator is the national programme for sports innovation, initiated…

This monograph focuses on clustering of objects in high-dimensional data, given the restriction that the objects do not cluster on all the attributes, not even on a single subset of attributes, but often on different subsets of attributes in the data.

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

Promotor: Prof.dr. E. Deprettere

Data science is now growing fast in many places, but scholars at Leiden University have been developing data science techniques for a long time already. Thanks to their broad-based expertise, Leiden statisticians are currently combining the achievements in statistics with the latest methods of statistical…

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 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.

At Psychology Lab on Wheels, we take your privacy and the security of your personal data very seriously. We want to assure you that all the information collected during this study will be handled in accordance with the General Data Protection Regulation (GDPR).

The Data-Driven Drug Discovery Network (D4N) is an initiative by researchers from Leiden University and collaborators to join efforts in applying and developing novel techniques from data science to drug discovery and related topics from bioinformatics.

Data Sets Department of Economics

The ability to collect and interpret huge quantities of data has become indispensable to society and academia. Leiden University is a knowledge and expertise centre for data science that places the emphasis on interdisciplinary collaboration and innovation.

Today, everybody and everything produces data. People produce large amounts of data in social networks and in commercial transactions. Medical, corporate, and government databases continue to grow. Sensors continue to get cheaper and are increasingly connected, creating an Internet of Things, and generating…

On 7 February 2019, Helena Ursic-Vrabec defended her thesis 'Uncontrollable: Data subject rights and the data- driven economy'. The doctoral research was supervised by Prof. dr. S. van der Hof.

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.

LACDR adheres to strict data management rules, with the aim to make our data findable, accessible, interoperable and re-usable. For this reason all LACDR PhD candidates are required to prepare a data management plan and to implement data management rules accordingly. All PhD candidates follow a data…

How can teachers be motivated by their students’ data in making stepwise changes to their teaching practices?

What consequences does Brexit have for the protection of personal data?

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

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

Currently, more than 80% of drugs are used in an off-label manner in critically ill neonates.

The project 'Data use, online consumer needs, business strategies and regulatory response' aims to explore and examine the factors that impact upon the efficacy of information disclosure duties pertaining to customer data use in online business.

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

Doctoral Thesis