This thesis focuses on data found in the field of computational drug discovery. New insight can be obtained by applying machine learning in various ways and in a variety of domains. Two studies delved into the application of proteochemometrics (PCM), a machine learning technique that can be used to…

This PhD project investigates specific types of allusions used by Russian native speakers, namely references to classical Russian literature. The research includes the analysis of 1) how native speakers use allusions, 2) what type of discourse allusions are frequently used, and 3) how we can implement…

In this research project characteristics of effective instructional development were identified that are appealing to medical teachers and relevant for medical education.

How can challenge-based learning in higher education contribute to sustainable urban waste management and support The Hague’s transition to a zero-waste city by 2050?

What are best practices for teaching students to engage with 'wicked' problems?

Do you want to know more about Cultural Anthropology and Development Sociology and what it is like to study in Leiden? Come to our online or on campus information events.

This study explores public leaders’ organizational learning orientation in the wake of a crisis. More precisely, we study the association between public leaders’ public service motivation and their learning orientation (instrumental versus political).

Why are professors still warning their students against dogmatism, prejudice, pedantry, and other centuries-old vices? What explains the persistence of these scholarly vices across the ages?

Serge Rombouts is a physicist whose PhD thesis was about functional MRI (fMRI). This visualises activity in regions of the brain. The appealing images of glowing brain regions that emerge from the computer are the result of calculations. According to Rombouts, this isn’t proper artificial intelligence.…

The aim of this project is to develop accurate but interpretable ensemble learning methods for high-dimensional multi-domain data.

This PhD project investigates how language models can be used to extract structured knowledge from text in a way that is accurate, robust, and applicable to real-world use cases.

Generally the data from remote sensing surveys - the scanning of the earth by satellite or aircraft in order to obtain information about it - is screened manually in archaeology. However, constant monitoring of the earth's surface causes a huge influx of data of high complexity and high quality. To…

The aim of this dissertation is to provide insight in interethnic prejudice of children in the Netherlands and attitudes and ideologies that they are exposed to through two socialization agents (parents and children’s books).

This thesis focuses on enhancing predictions of central nervous system drug exposure using the LeiCNS-PK3.0, a physiologically based pharmacokinetic model.

The Data-Driven Drug Discovery Network (D4N) is an initiative by researchers from Leiden University and collaborators to join efforts in applying and developing novel techniques from data science to drug discovery and related topics from bioinformatics.

This report highlights the huge potential of public inquiries to ensure that lessons are learned from COVID-19 to help the UK prepare for a future pandemic.

This project investigates the professionalisation of university libraries in the nineteenth and early twentieth centuries, through the lens of the medieval manuscript holdings. Taking Leiden University Library as a starting point, it sheds light on the changing practices surrounding the conservation,…

Beginning teachers often experience difficulties making activating lessons. This study investigates how and if the practical teaching model can offer them a hand in learning to design lessons.

‘We hope our paper highlights the possibilities and benefits of including artificial intelligence in quantum physics to do new discoveries.’ Vedran Dunjko of the Leiden Institute of Advanced Computer Science contributed to a paper that was published in PNAS last year and now received a Cozzarelli Prize…

People with a mild intellectual disability (MID) experience more loneliness than people without MID. In the COLLELO project, researchers from social and humanities disciplines collaborate with people with MID and their (in)formal networks to create an (online) learning community that aims to understand…

PhD defence