Doctoral Thesis

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.

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

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.

The deeper understanding of an organism's pathology is important for developing treatments. Over centuries of systematic research, clinical researchers have demonstrated that the more information they acquire about the cellular properties and their organisation in the tissue, the better they can understand…

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

Data management is crucial for the success of research projects.

As a PhD candidate, you probably work with personal data. That’s not just names and telephone numbers – it can also include things like cookies. To keep (personal) data as secure as possible, the university has established an information security policy.

Health research, medical practice and consequently the whole population is increasingly affected by digitization, data science and AI.

Why should you publish your data? ... and how?

Data Science (DS) and Artificial Intelligence (AI) are omni-present and have the potential to be incorporated in various fields. However, in order to live up to this expectation, a good understanding of the techniques, their implications and limitations is required. In this minor you develop insights…

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).

Collecting data in sports increased in importance the last few years.

The Data Management Protocol is an elaboration of the Leiden University Data Management Regulations for research that takes place within the Leiden Institute of History. It is intended for researchers who are starting a research project and / or researchers who are going to submit a proposal to external…

Industrial manufacturing processes, such as the production of steel or the stamping of car body parts, are complex semi-batch processes with many process steps, machine parameters and quality indicators.

The Data Science Research Programme aims to advance the state of the art in Data Science research and to accelerate the use of Data Science methods at all faculties of Leiden University.

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.

Although science and education have top priority, exploratory projects with companies, governments and NGOs generate ample opportunities in terms of societal challenges, science strategy, valorisation and research collaboration. In the LIACS Applied Data Science Lab, our master's students and graduates…

This thesis addresses the challenge of sustainable urban development by analyzing the interplay between green and grey infrastructure to optimize resource use and ecosystem services.

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…

Data sets available for scientific/research purposes.

This page provides an overview of our data management practices.

VODAN Africa started as a platform to enable access to critical data needed from Africa to fight the novel COVID-19. The initiative was inspired by the experience from the Liberia Ebola Virus outbreak in 2014: early detection requires contact tracing. Inclusion of the most vulnerable is critical to…

Are you thinking about studying Statistics and Data Science? Learn more and watch the introduction video.

Time-series forecasting through modelling sequences of temporally dependent observations has many industrial and scientific applications. While machine learning models have been widely used to create time-series forecasting models, creating efficient and performant time-series forecasting models is…

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.

Although the General Data Protection Regulation (GDPR) harmonizes the protection of personal data across the EU as of May 2018, its open norms in combination with cultural differences between countries result in differences in the practical implementation, interpretation and enforcement of personal…

A cross-cut analysis of the ties between university research and fossil industries.

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.

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.

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The Astronomy and Data Science master’s specialisation at Leiden University combines advanced Astronomy courses with relevant courses from the Computer Science programme at Leiden University.

Course, ARCHON Workshop

On 27 May, Dimitra Stefoudi defended the thesis 'Legal and policy aspects of space big data: legal implications of the use of large amounts of space data – regulatory solutions and policy recommendations'. The doctoral research was supervised by Steven Truxal and Bart Custers.

Wouter Eekhout, our data magician, came in 3d place in the ‪#‎LinksSDGs‬ - Natural language processing and data visualization challenge.

Computers are becoming so smart that in the future they will perhaps take over the role of judges. In the meantime, experts at Leiden University are examining the question of which standards responsible data science should meet.

This thesis applies data mining in commercial settings in the telecommunications industry.

On 12 September 2019, Michiel Rhoen defended his thesis 'Big Data, Big Risks, Big Power Shifts: Evaluating the General Data Protection Regulation as an instrument of risk control and power redistribution in the context of big data'. The doctoral research was supervised by Prof. G.J. Zwenne and Prof.…

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

At Leiden University we like to stay in touch with our alumni. We therefore invite you by post, email or phone to lectures, workshops and masterclasses for alumni and inform you about developments in your field and at the University. With your knowledge and experience, you also make a valuable contribution…

DIGIFOOD is a transnational research project that investigates how data governance can support equitable and sustainable digital food systems. Around the world, digital technologies are transforming agriculture. Sensors in soil, satellites in space, and mobile phones in farmers’ hands are generating…

LUMC Technology Focus Area (TFA) Data Analytics is een samenwerkingsverband van verschillende onderzoeksgroepen in het LUMC die nieuwe kwantitatieve en computationele methodologie ontwikkelen voor biomedisch en klinisch onderzoek.

‘Tell me something I don’t know,’ said skating coach Jac Orie to Leiden data scientist Arno Knobbe. And he did. Knobbe and his colleagues now assist athletes in all kinds of ways with the help of data mining.

Can we develop a generic method for Quan/Qual analysis of small molecule drugs, their metabolites and endogenous metabolites in (pre-)clinical samples?