This dissertation is about Bayesian learning from data. How can humans and computers learn from data?

This thesis involves three topics: benchmarking discrete optimization algorithms, empirical analyses of evolutionary computation, and automatic algorithm configuration.

he Central Innovation District (CID) forms the economic heart of the city of The Hague.

We present an extensive study of methods for exactly solving stochastic constraint (optimisation) problems (SCPs) in network analysis. These problems are prevalent in science, governance and industry.

The programme group Research Methods and Statistics offers support to researchers from a variety of research projects within Education and Child Studies.

Understanding how galaxies form, interact, and evolve comes largely from comparing theory predictions with observational data. Numerical simulations of galaxies provide the most accurate approach to testing the theory, as they follow the non-linear evolution of gas and dark matter in great detail and…

In this thesis we investigate cosmology and the large scale structure of the Universe using cosmological simulations.

On the 9th of April, Manolis Fragkiadakis successfully defended a doctoral thesis. The Leiden University Centre for Linguistics congratulates Manolis on this achievement!

Multi-Angle Dynamic Light Scattering (MADLS) is a technique that is used to determine properties of particles in suspension. The measurements give the hydrodynamic size distribution of individual particles as well as particle clusters, and assists in the interpretation of the stability of the particles…

Quantifying physical activity (using accelerometers) and combining the frequency and intensity of activities with health data (brain MRI, traditional clinical parameters and metabolomics) is of utmost importance to monitor mobility and health among older individuals and study health promotion during…

Promotor: J.N. Kok, Co-promotor: C.M. Soares, A.J. Knobbe

In what ways can a photographic practice act as a means to confront, or even undo, the various material properties of atmospheric enclosure that so clearly put our relationship with our environment under pressure? Is it possible to devise a set of critical and artistic strategies to comprehend the ways…

The Division of Systems Pharmacology and Pharmacy (SPP) aims to develop precision medicine approaches to characterize and predict variation in treatment response and enhance translational drug development strategies.

Are you graduating at the Faculty of Science? Or are you supervising a PhD student? At the Graduate School of Science you find support at every phase of your PhD.

The two-year Data Science: Computer Science programme consists of 120 European Credit Transfer System (EC) points and includes courses and electives as well as a Master's Thesis Research Project.

Agricultural foods naturally vary in their detailed internal structure. To facilitate early detection of health hazards due to contamination or disease, predict maturity and minimize wastage, it is critical to take into account the internal characteristics of each individual product, as these enable…

To what extent can digital technologies be considered as authorities?

Lecture

In 2018, the number of mobile phone users will reach about 4.9 billion. Assuming an average of 5 photos taken per day using the built-in cameras would result in about 9 trillion photos annually.

The Bachelor's degree trains future computer scientists in the fields of Data Science and Artificial Intelligence. When you graduate you will be ready for a range of career options.

Biotherapeutics or biologics, such as proteins, peptides, and nucleic acids, comprise an increasing share of the pharmaceutical market, whilst offering new therapies for difficult-to-treat diseases. Most notable is their contribution to the vaccination efforts during the COVID-19 pandemic. In most cases,…

The specialisation combines one year of Computer Science research (60 – 80 EC) with one year of science communication courses, internships and research (40-60 EC).

The Computer Systems, Imagery & media (CSI) research programme performs research on methods and techniques for the design, implementation and application of advanced computer systems, in particular parallel, distributed and embedded computer systems.

The two-year Artificial Intelligence programme (120 EC) includes mandatory core courses and electives, as well as a Master's Thesis Research Project.

On 23 April, Andreas Häuselmann defended the thesis 'EU privacy and data protection law applied to AI: unveiling the legal problems for individuals'. The doctoral research was supervised by Gerrit-Jan Zwenne and Bart Custers.

Interactive exploration of large volumes of data is increasingly common, as data scientists attempt to extract interesting information from large opaque data sets. This scenario presents a difficult challenge for traditional database systems, as (1) nothing is known about the query workload in advance,…

When should you plan to arrive in the Netherlands? Find out what to take into consideration when making your travel plans.

The programme guarantees a thorough experience on the frontlines of physics research AND data science. It focuses on research areas where these fields overlap and in the process provides practical training of communicative and computer skills.

The two-year Bioinformatics programme (120 EC) includes mandatory core courses and electives, as well as a Master's Thesis Research Project. PLEASE NOTE: The specialisation Bioinformatics will no longer accept new students after February 2026. If you're starting date is September 2026 or later, we…

On the 16th of December, Yachan Liang successfully defended a doctoral thesis. Leiden University Centre for Linguistics congratulates Yachan on this achievement!

Lecture

Leiden University uses enormous amounts of disposable cups every day.

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 Netherlands Institute in Turkey (NIT) conducts scholarly research and supports the academic study of Turkey through the ages. The institute is closely affiliated with University’s Faculty of Humanities. Its facilities are available to students and staff of all universities in the Netherlands.

To overcome the limitations of slow and error-prone quality control, this research develops an advanced 3D imaging method for the rapid and reliable detection of internal defects in critical sectors.

Effective policy-making requires understanding what truly causes a problem. Only then can policymakers develop targeted interventions that achieve desired outcomes.

PhD defence

PhD defence

Each month we will be spotlighting material we have been reading, or that have been recommended to us that relate to AI and a particular theme.

Beowulf clusters looking for new frontiers.

How can we understand the drum-set – and thus drummer – as technological? How have technological developments affected change in drum-set performance and drum-set construction? Are the relationships between new technologies and the drummer symbiotic, or one way? To what extent are instruments and (reactive)…

Multi-objective optimization is an effective technique for finding optimal solutions that balance several conflicting objectives. It has been applied in many fields of our world, because practical problems usually have more than one desired goal. For example, developing a new vehicle component might…

Less than 1 in 10 drug candidates that enter phase 1 clinical trials actually gets approved for human use.

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.

OSTrails is a Horizon Europe project enhancing how scientific knowledge is managed and assessed through a FAIR, open system. The Dutch pilot, led by SURF and CWTS, focuses on improving machine-actionable Data Management Plans and linking them with scientific knowledge graphs to boost research interoperability…

Embedding ethical legal and societal aspects for responsible military AI.