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…

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.

Doctoral Thesis

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

This project aims to develop advanced data analysis methods for monitoring and increasing our understanding on biodiversity dynamics in nature reserves such as the Oostvaardersplassen.

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

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.

Before your student residence permit can be issued, you must have your biometric data recorded.

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.

Read-Urban was a first project to investigate whether policy recommendations can be made with the aid of linked data collections and data science and to gain experience with the success factors for such a process.

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…

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…

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

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.

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…

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.

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…

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).

Data sets available for scientific/research purposes.

This page provides an overview of our data management practices.

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…

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

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

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.

Making the Virtuagym e-platform suitable for wheelchair users with a spinal cord injury or lower limb amputation.

Leiden University and the Ministry of Infrastructure and Water Management are involved in a collaboration in the form of a research project titled 'Data-Driven Risk Assessment in Infrastructure Networks'.

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…

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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.

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.

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…

Novel methods for understanding key aspects that are essential to the future of Bayesian inference for high- or infinite-dimensional models and data.

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.

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

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

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.

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.