Marijke Brouwer started as an archaeologist, excavating Iron Age settlements in the Dutch polder regions. Today she is the director of medieval Huis Bergh, one of the largest castles in the Netherlands. How did this unusual career development come about?

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.

Real-life processes are characterized by dynamics involving time. Examples are walking, sleeping, disease progress in medical treatment, and events in a workflow.

Study information

An environmental and palaeo-economic reconstruction.

Hass

Lecture

This book aims to unravel some of the mysteries surrounding this exceptional group of larger-than-life Bronze Age blades.

The Ada Lovelace Distinguished Lecture Series brings outstanding computer scientists from around the world to Leiden University. The lecturers will share exciting ideas and results from the forefront of computer science.

The master’s specialisation Artificial Intelligence offers future-oriented topics in computer science with a focus on machine learning, optimization algorithms, and decision support techniques.

The master's specialisation Data Science: Computer Science at Leiden University provides students thorough knowledge and understanding of statistical and computational aspects of data analysis, including their application in databases, advances in data mining, networks, pattern recognition, and deep…

The Leiden Computational Network Science Lab (CNS Lab) researches methods for knowledge discovery from real-world network data.

Dive into the heart of archaeological science: explore the flora and fauna of bygone ages, study human bones and teeth, analyse the cultural biographies of material objects, or become an expert in the use of computational methods in archaeological research.

PhD defence

Matthew Hobson is a postdoctoral researcher in the ERC granted research project 'An Empire of 2000 Cities: urban networks and economic integration in the Roman empire', directed by Luuk De Ligt and John Bintliff (Archaeology).

At Leiden University, researchers from all disciplines work together to find answers and design innovations in the field of artificial intelligence.

This master’s programme combines Physics with Data Science. You will learn how physics has its own tricks to deal with big data and how techniques from machine learning and deep learning can be applied to classical and quantum data. The first focus of attention is on classical data, including data mining,…

The majority of scientists, from archaeologists through to zoologists, collect enormous volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics and computer science, we can develop algorithms for analyzing…

The Faculty of Science

Study information

The aim of this project is to determine in which cases uncertainty statements resulting from a Bayesian statistical analysis can be trusted.

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

Quantum computing is a novel paradigm for computation, which is nearing real-world impact with the coming generation of limited, but nonetheless powerful quantum devices.

This dissertation is concerned with the study of the less than twenty remaining precolonial Mesoamerican codices. By considering these rare and fragile pictographic and hieroglyphic books from the cultural biography perspective, many different aspects of these books can be studied.

‘Fernweh: Crossing borders and connecting people in archaeological heritage management ’

Karolien Pazmany is a PhD student in the ERC granted research project 'An Empire of 2000 Cities: urban networks and economic integration in the Roman empire', directed by Luuk De Ligt and John Bintliff (Archaeology).

What are the patterns and processes of human mobility in the pre-colonial circum-Caribbean as revealed by burial populations and what are the underlying motives and socio-cultural principles on both micro- and macro-scales?

The project XAIPre (pronounce “Xyper”) aims to develop predictive maintenance system for the maritime industry using sensor technology and artificial intelligence. The project aims at developing Explainable Predictive Maintenance (XPdM) algorithms that do not only provide the engineers with a prediction…

The research programme Statistical Science is concerned with the analysis and interpretation of masses of data, the quantification of uncertainty using probability models, and the development and benchmarking of algorithms and methods with these aims.

While acknowledging prominent legal-philosophical debates, this project proposes a radically different approach to provide insights into the concept of the rule of law.

Over several decades, a variety of computational methods for drug discovery have been proposed and applied in practice. With the accumulation of data and the development of machine learning methods, computational drug design methods have gradually shifted to a new paradigm, i.e. deep learning methods…

Researchers of the Leiden Institute of Advanced Computer Science (LIACS) have started a 4 year project on developing a system that sends out automatic alerts when components from engines are showing first signs of fatigue.

In this special edition of Information Polity there is a focus on the transparency challenges of using algorithms in government in decision-making procedures at the macro-, meso-, and micro-levels.

Cancer is the leading cause of death in the Netherlands, and, with over 100 different types of cancer, it’s not a simple disease. Today, skin, breast, lung, prostate and colon cancer are the most diagnosed forms. Therefore, the discovery and development of new drugs has the ability to significantly…

You gain a strong foundation in computer science, combined with knowledge of machine learning, cognitive science, human-robot interaction. You will learn to develop and program systems based on knowledge of the human brain.

On 26 and 27 September 2016, the Faculty of Archaeology of Leiden University hosted the closing symposium of the HERA-CARIB project “Caribbean Connections: Cultural encounters in a New World setting”.

In 2019 citizen scientists inspected elevation maps of the Veluwe region and discovered several thousand potential new archaeological structures. The project started as exploration into the potential of citizen science in Dutch archaeology, but developed into a fully flexed project in which citizen…

A technique originally developed for satellite imaging can now be used to recover pictographic texts from underneath the surface of a five hundred year old Mexican manuscript.

The excavation of three Bronze Age barrows and surrounding landscape at Apeldoorn-Wieselseweg

Does the δ-machine have higher accuracy than the other feature-based classifiers in some conditions?

How digital technologies affect the way we conceive of the self and its relation to the world, considered through the lens of media art practices.

We study cell-fate decision-making using embryonic stem cells as a model system. Stem cells integrate a large number of cues to direct their development into a great variety of cell types.

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

In the traditional theory of linear elasticity, superposition dictates that the response of a material does not depend on the sequence of the applied mechanical actuations.

As a scientific partner, the Sport Data Center offers (sports) organisations a wide range of services.