The purpose of this study was to investigate the formation and growth kinetics of complexes between proteins and oppositely charged polyelectrolytes.

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PhD defence

Workshop

This thesis focuses on addressing four research problems in designing embedded streaming systems.

Supervisor: Gerard van Westen

From 14 to 29 PhD candidates, seven actively involved faculties and, above all, lots of innovative interdisciplinary research, all with data science as the common denominator. The university’s Data Science Research Programme (DSO) has proven so successful that after five years on a start-up grant it…

Homicide engenders broad moral concerns in society, and its aftermath can be understood as a barometer for criminal justice policy. Of all homicides committed, however, only some lead to arrest, to prosecution and ultimately to conviction in court.

Fokelien Kootstra defended her thesis on 23 April 2019

Promotor: P.J.J. Hooykaas, Co-Promotores: P.B.F. Ouwerkerk, M. Wang

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)

The main objective of this thesis was to develop clinically relevant survival models for patients with high-grade soft tissue sarcoma of the extremities, in particular the development and validation of prediction models for use in clinical practice.

PURPOSE: In the present study we investigated the root-cause of an interference signal (100-200 nm) of sugar-containing solutions in dynamic light scattering (DLS) and nanoparticle tracking analysis (NTA) and its consequences for the analysis of particles in biopharmaceutical drug products.

With the emergence of online social networks (OSNs), the way people create and share information has changed, which becomes faster and broader than traditional social media.

Analysis of drug adversity

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

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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.

The World Data Visualization Prize for 2019 was awarded to Dimiter Toshkov, Associate Professor at the Institute of Public Administration, for his work on the theme of small states and good governance. The prize is a good way to raise awareness about the value of good data visualization.

The Microscopy Unit houses, maintains and coordinates most of the microscopy equipment of the IBL. The available equipment ranges from conventional light and fluorescence microscopes, to confocal laser scanning and electron microscopes. In addition, infrastructure is available for histology, including…

This book expands on the existing literature on the international dimension of democratization by introducing the concept of democracy projection. Democracy projection is defined as the projection of (democratic) norms through the every-day practice of interactions-beyond any donor-recipient relationship-between…

Julia Prümmer, Tommy van Steen & Bibi van den Berg evaluate the effectiveness of cybersecurity training programs for end-users.

This thesis investigates the application of deep learning techniques in image analysis across various domains, focusing on four main themes: feature extraction, classification, segmentation, and integration, demonstrating the transformative potential of these technologies.

Data theory research on the analysis on the multidimensional data

Quantifying physical activity (using accelerometers) and combining the frequency and intensity of activities with health data (brain MRI, traditional clinical parameters and metabolomics) is of utmost importance to monitor mobility and health among older individuals and study health promotion during…

Leiden bachelor students analyse data EC soccer Students are now familiar with something sports journalists already knew: summer holidays can be a time of hard labour. Everybody else is lying on the beach, but for you, it is the busiest time of the year. Leiden bachelor students collected the data…

Zsuzsa Bakk has been selected as the winner of the 2016 Distinguished Dissertation Award of the Classification Society for her thesis entitled 'Contributions to Bias Adjusted Stepwise Latent Class Modeling'.

Data science and statistics are closely linked, says Spinoza laureate and Stochastics professor Aad van der Vaart. We talk with him about the big data hype, genome research and collaboration with other disciplines. ‘Statistics helps wherever data is not perfect.’

Workshop

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.