It was already known that social anxiety disorder often affects more than one person in the same family. But research by PhD student Janna Marie Bas-Hoogendam has now shown that there are genetic brain characteristics that are associated with social anxiety. The PhD ceremony will take place on 14 Ja…

Als gevolg van de grote technologische vooruitgang in de gezondheidszorg worden in toenemende mate gegevens verzameld tijdens de uitvoering van klinische onderzoeken.

Tomography is a powerful technique to non-destructively determine the interior structure of an object.Usually, a series of projection images (e.g.\ X-ray images) is acquired from a range of different positions.

This project aims to explore and examine the factors that impact upon the efficacy of information disclosure duties pertaining to customer data use in online business.

A collaboration between the IBL and LUMC has resulted in the discovery that the polymerase theta enzyme is essential for the integration of Agrobacterium T-DNA into the genome of plants. The finding means a break-through for the development of more efficient systems for targeted genome modification…

How to access the end-of-supply risk of spare pares using big data analytics

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This thesis describes the genetic and prokaryotic diversity of giant barrel sponges.

Due to the modern techniques of combinatorial chemistry and high-throughput screening, data on the biological activity of many millions of compounds is known. However, it is still very difficult to transfer this data into knowledge: if we know that compounds A and B bind to a certain protein with high…

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.

This monograph focuses on clustering of objects in high-dimensional data, given the restriction that the objects do not cluster on all the attributes, not even on a single subset of attributes, but often on different subsets of attributes in the data.

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…

VODAN Africa started as a platform to enable access to critical data needed from Africa to fight the novel COVID-19. The initiative was inspired by the experience from the Liberia Ebola Virus outbreak in 2014: early detection requires contact tracing. Inclusion of the most vulnerable is critical to…

Machine Learning is becoming a more and more substantial technology for industry.

Promotor: J.N. Kok, Co-promotor: F.J. Verbeek

Promotor: J.M. Memelink

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

Comparing individual health data with group data allows doctors to give personalised advice and patients to learn from one another's experiences. Wessel Kraaij, Professor of Applied Data Analytics, shows how personal data can have a valuable predictive function. Inaugural lecture 24 February.

To what extent is it possible to utilise traditional and new media data to examine and understand the nature and scope of homicide in Indonesia?

Promotor: Prof.dr. B.R. Katzy, Co-promotor: R. Ortt

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…

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…

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.

This project’s aim is to critically assess current homicide data sources in order to develop a proposal for long-term EU-level monitoring of DRH.

Tremendous amounts of data are generated in scientific research each day. Most of this data has more potential than we are using now, says Katy Wolstencroft, assistant professor in bioinformatics and computer science. We just need to integrate and manage it better.

The RISIS project aims at creating a distributed research infrastructure to support and advance science and innovation studies. This will give the field a strong scientific push forward, and at the same time, provide a radically improved evidence base for research and innovation policies, for research…

Sport Data Center

The mission of the Plant Science research programme is to contribute to the sustainable production of high quality crops, flowers and high-value bio-based products. This is realised by generating fundamental knowledge of basic biological processes related to development of plants and their interaction…

Promotor: A.P.IJzerman Co-promotor: A. Bender

Promotor: E. Gittenberger, Co-promotor: B.W. Hoeksema

Remko Offringa has been appointed Professor in the field of Plant Developmental Genetics within the Faculty of Science at the Institute of Biology Leiden (IBL) from the 1st of April 2017. Offringa’s research focuses on the role of the plant hormone auxin in controlling plant growth and development,…