Material Culture, Settlements, and Landscapes from the Mediterranean to Western Asia

A P300-based Brain Computer Interface character speller, also known as P300 speller, has been an important communication pathway, under extensive research, for people who lose motor ability, such as patients with Amyotrophic Lateral Sclerosis or spinal-cord injury because a P300 speller allows human-beings…

Reinforcement learning, agents and classification: these are just some of the topics researchers on Artificial Intelligence and Machine Learning discussed at the BNAIC/BeneLearn conference 2020. It was the first time Leiden University hosted the annually held Belgium Netherlands Artificial Intelligence…

Advancing AutoML systems targeting machine learning tasks based on Earth Observation (EO) Datasets.

On this page you will find a collection of presentations and videos of the Florence Nightingale Colloquia, seminars at the faculty and other event recordings hosted by the Data Science Research Programme.

To what extent is creative ownership in contemporary (graphic) design practices changing now that we are co-creating with machines? And can machines have copyrights, too?

Hybrid Intelligence (HI) is the combination of human and machine intelligence, expanding human intellect instead of replacing it. HI takes human expertise and intentionality into account when making meaningful decisions and perform appropriate actions, together with ethical, legal and societal values.…

In this thesis it is posed that the central object of preference discovery is a co-creative process in which the Other can be represented by a machine. It explores efficient methods to enhance introverted intuition using extraverted intuition's communication lines.

Peter Flach is Professor of Artificial Intelligence at the University of Bristol. An internationally leading scholar in the evaluation and improvement of machine learning models using ROC analysis and calibration, he has also published on mining highly structured data, on knowledge-driven and explainable…

In CCLS several subgroups have formed, below you can find an overview of these groups with the names of the leading researchers and a short outline of the project.

This interdisciplinary research project explores several adaptive machine learning methods which can give insight into the interaction between human and machine. The ultimate goal is open and natural communication between humans and AI that should result in mutual trust, cooperation and coordination…

Top scientists of three Dutch universities are working on software and systems for quantum computers. Researchers of the Leiden Institute of Advanced Computer Science (LIACS) and the Leiden Institute of Physics (LION) are developing new algorithms to make those super computers work. The coming years,…

SAILS likes to occasionally organise workshops about topics that relate to our programme. On this page you can find more information about previous workshops.

The project seeks to come to an understanding of the archaeology of the desert and the ways in which its inhabitants engaged with their constraint, marginal environments through time. It compares and interprets site distribution and community organisation over a long time scale and across several different…

The Metabolic syndrome affects over 5 million people in the Netherlands. The HealthBox is an initiative from LUMC and NeLL to provide an innovative solution to help prevent and manage this chronic condition.

The Vrijthof excavations (1969-1970)

The aim of this project is to gain a better understanding of daily life, diet, mobility and health in late medieval Zeeland, as well as to test the potential of multi-isotopic analyses on a Dutch assemblage.

Jasper de Bruin, Guus Besuijen, Hans Siemons & Jeroen van Zoolingen (2012). De romeinse nederzetting bij het tegenwoordige Goedereede heeft waarschijnlijk een belangrijke functie gehad in de overslag en distributie van diverse goederen, waaronder keramiek en voedingsgewassen. De opgraving van deze nederzetting…

The goal is to reduce single use coffee cup use both at the university cafés and cofee machines.

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

Here you can find the recordings of previous Florence Nightingale Colloquia.

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

Data analysis with Python and R are rapidly becoming essential skills for modern scientists. Therefore, we are offering courses to develop your scientific computing skills. Those courses are optional for LACDR PhD candidates.

If an algorithm has to learn to understand language, simply having a lot of data doesn’t help much. Like us, a computer has to learn the language in interaction with others. Tessa Verhoef is fascinated by how this interaction works.

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.

Empirical and experimental research focusing on literary, legal, medical and audiovisual translation.

Creation of a framework for environmental parameter estimation that benefits from the consistency of physics-based theory-driven models and the accuracy of the machine-learning-based data-driven models

Learning from small data sets in machine learning is a crucial challenge, especially when dealing with data imbalances and anomaly detection. This thesis delves into the challenges and methodologies of learning from small datasets in machine learning, with a particular focus on addressing data imbalances…

In this theme you will be supplied with a firm background in the core of current computational linguistics and a solid comprehension of its neighboring fields.

This thesis surveys the intersection of computed tomography (CT) and machine learning (ML), treating CT as an ill-posed inverse problem shaped by object properties, imaging physics, and data limitations.

Life Sciences Artificial Intelligence Data Science

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…

The quest for Trustworthy AI is high on both the political and the research agenda, and it actually constitutes TAILOR’s first research objective (H1) of developing the foundations for Trustworthy AI. It is concerned with designing and developing AI systems that incorporate the safeguards that make…

This is an Erasmus+ International Credit Mobility project of Leiden University’s Faculty of Science with University of California.

The AiChemist project (https://aichemist.eu) coordinated by Helmholtz Munich is an Innovative Doctoral Training Network funded through the Marie Skłodowska-Curie Actions (MSCA-DN) within the EU Horizon Research Framework, to the sum of €3 million. It brings together leading experts in AI, chemoinformatics…

DSE 2.0 concerns research on DSE techniques for complex dCPS