This project, commissioned by DG Research and Innovation, aims to provide information for policies that lead to the creation and improvement of the conditions which will allow researchers and European industries to safely master the properties of nanomaterials and to innovate with nanotechnology.

Ben Wielstra studies hybrid zones, regions in which distinct populations of organisms meet, mate and produce genetically admixed offspring. In the journal Current Biology, he introduces hybrid zones in an accessible way.

Are you curious about how science and technology contribute to a sustainable and innovative future? At Leiden University, you’ll explore the world of data, natural laws and living systems. From mathematics to artificial intelligence, from climate challenges to high-tech innovation: you’ll learn to analyse…

Are you curious about how science and technology contribute to a sustainable and innovative future? At Leiden University, you’ll explore the world of data, natural laws and living systems. From mathematics to artificial intelligence, from climate challenges to high-tech innovation: you’ll learn to analyse…

Tools and Data of the department of Environmental Biology

On 21 November 2018, Lieke Kools defended her thesis 'Essays on wealth, health, and data collection'. The doctoral research was supervised by Prof. dr. K.P. Goudswaard en Prof. dr. C.L.J. Caminada.

Raffaele Marchetti (2021). Hybrid Diplomacy with NGOs: The Italian Formula. Cham: Palgrave Macmillan. ISBN 978-3-030-86869-7, 135 pp., €46.00 (eBook).

Promotor: P.D. Grünwald

Research

On 27 May, Dimitra Stefoudi defended the thesis 'Legal and policy aspects of space big data: legal implications of the use of large amounts of space data – regulatory solutions and policy recommendations'. The doctoral research was supervised by Steven Truxal and Bart Custers.

From 16 to 19 September 2021 a hybrid conference will take place on animation in the Middle Ages. This conference is a cooperation between the University of Bergen (Norway) and the A. Zelwerowicz National Academy of Dramatic Art in Warsaw, Branch Campus in Bialystok (Poland).

Understanding how data derived from wearable technology can be used to identify effective changes in behaviour that are likely to result in health improvements

Predictive maintenance (PdM) is a maintenance policy that uses the past, current, and prognosticated health condition of an asset to predict when timely maintenance should occur.

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 use of increasingly large and diverse datasets to guide urban climate action has implications for how, and by whom, local governments are held accountable.

This project develops a scientific method to extract clinically relevant new information from patient forum websites that discuss patient experiences concerning e.g. medication, nutrition, co-morbidities, genetic factors etc.

ChEMBL is a large-scale drug discovery database containing bioactivity information primarily extracted from scientific literature.

This thesis deals with the use of sound in interactions in the context of participatory systems and data sonification. We investigate an interactive environment where participants perceive information of the data through sound elements.

Archiving Medieval and Post-Medieval Archaeological Fieldwork Data from the Eastern Mediterranean (600-2000)

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

This article examines Russia’s use of low-level agents in covert operations across Europe since 2022, analysing a dataset of 145 cases to identify patterns in recruitment, demographics and network structure using social network analysis.

This thesis pioneers diatom molecular identification and quantification through genome-scale methods, with four key aims: (i) reviewing DNA/RNA sequencing methods in aquatic biomonitoring to highlight their strengths and limitations;

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.

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.

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

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.

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…

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…

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

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