Promotor: Prof.dr. M. Danhof, Co-promotor: O.E. Della Pasqua

Een van de terugkerende discussiepunten binnen het onderzoeksprogramma Criminal Justice vormt de vraag welke gedragingen wel en niet onder het bereik van de strafwet zouden moeten vallen. Deze vraag wordt vanuit juridisch-dogmatische en sociaalwetenschappelijke invalshoek onderzocht.

This thesis seeks to combine two different research topics; Multi-Objective Optimization and Complex Network Analysis.

A common method to solve expensive function evaluation problem is using Bayesian Global Optimization, instead of Evolutionary Algorithms.

Overlevingsanalyse is een onderzoeksgebied dat zich richt op het bestuderen van de tijd tot het optreden van een specifieke uitkomst.

Promotor: Prof.dr. B. van de Water

Om in te loggen met uw ULCN-account heeft u Multi-Factor Authenticatie (MFA) nodig. Dat wil zeggen dat u, behalve met uw gebruikersnaam en wachtwoord, ook op een andere manier bevestigt dat u het bent.

Constraint multi-objective optimization with a limited budget for function evaluations is challenging. This thesis tackles this problem by proposing new optimization algorithms. These algorithms are applied on holistic ship design problems. This helps naval architects balance objectives like cost, efficiency,…

Het onderzoek dat wordt gedaan binnen het Instituut Politieke Wetenschap heeft als gemene deler dat er vanuit verschillende politicologische sub-disciplines wordt gekeken naar de dynamiek van en wisselwerking tussen politieke instituties, individuele besluitvorming en collectief gedrag.

Multi-criteria optimalisatie is een effectieve techniek voor het vinden van optimale oplossingen die een afweging bieden tussen verschillende, tegenstrijdige criteria. Het heeft zijn toepassing gevonden in de wereld om ons heen omdat bij het oplossen van praktische, re¨ele wereld problemen men gewoonlijk…

Global Environmental Extensions Multi-Regional Input-Output (EE-MRIO) analysis is often used to analyze how changes in global and national demand for products lead to socioeconomic and environmental impacts at the national level.

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

We explored how to morphologically classify well-resolved jetted radio-loud active galactic nuclei (RLAGN) in the LOw Frequency Array (LOFAR) Two-metre Sky Survey (LoTSS) using machine learning.

Promotores: Prof.dr. B.R. Katzy, Prof.dr. K. Sailer (Munich University)

For centuries astronomers studied the Universe by collecting light. Nowadays, we are living in times of great technological advancements, which allow us to explore our Universe in a new way - though gravitational wave radiation.

Het onderzoek van dit programma is gecentreerd rond dynamische systemen, functionele analyse en hun interactie.

The research of the Applied Mathematics cluster is concerned with such diverse topics as dynamical systems, representation theory, differential equations and pattern recognition.

De publieke sector is steeds meer een systeem met meerdere niveaus, met interacties tussen publieke en private actoren op nationaal, subnationaal (provincies, regio's) en internationaal niveau en verschillende publieke, semi-publieke en private organisaties die publieke taken uitvoeren. In deze minor…

This thesis addresses the challenge of sustainable urban development by analyzing the interplay between green and grey infrastructure to optimize resource use and ecosystem services.

We present an extensive study of methods for exactly solving stochastic constraint (optimisation) problems (SCPs) in network analysis. These problems are prevalent in science, governance and industry.

This thesis is based on five papers on several topics.

Promotor: W.Th.F. den Hollander Co-Promotor: F.M. Spieksma

De masteropleiding Cultural Analysis: Literature and Theory van de Universiteit Leiden richt zich op de studie van literatuur vanuit een vergelijkend en theoretisch perspectief, en onderzoekt de literatuur van een breed spectrum van talen en culturen uit de hele wereld.

Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M.R.V. Chaudron, Co-Promotor: M.T.M. Emmerich

This thesis explores Breaking of Ensemble Equivalence (BEE) in random graph models by examining the spectral properties of adjacency matrices. The goal is to identify spectral characteristics that differentiate random graph ensembles, enhancing the understanding of complex network structures and beh…

Wat is het effect van maatschappelijke veranderingen, persoonlijke levensomstandigheden en migratiebeleid op iemands besluit te migreren?

Promotor: Prof.dr. E. Deprettere

Science is typically a patchwork of research contributions without much coordination. Especially in clinical trials, the follow-up studies that we do fail to be the most promising.

Multi-objective evolutionary computation aims to find high quality (Pareto optimal) solutions that represent the trade-off between multiple objectives.

In meta-analysis, heterogeneity often exists between studies. In such cases, it is essential to investigate the sources of heterogeneity and understand the relationship between effect size and study characteristics (i.e., moderators).

A modern ship design process is subject to a wide variety of constraints such as safety constraints, regulations, and physical constraints.

Promotores: T.H.W. Bäck, A. Plaat, Co-promotor: F.J. Verbeek

Promotores: W.T. de Groot, M. Tchuenté, Co-promotor: J.P. Cheylan

The chemical and structural heterogeneity of toxoid vaccines makes their analysis challenging. However, detailed insights on a molecular level can be obtained by mass spectrometry.

In this thesis, we have studied cell images from two types of cells, including pollen grains and the immune cells, neutrophils. These images are captured using a bright field microscope and a confocal microscope.

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

We have studied shape with a particular focus on the zebrafish model system. The shape is an essential appearance of the phenotype of a biological specimen and it can be used to read out a current state or response or to study gene expression.

Supply risks are not new. But the aggravation of power conflicts on the international stage coupled with global shifts towards energy transition and digitalization has triggered the next supply risk research era.

Promotors: W. Jiskoot; G.J. Witkamp, Co-promotor: M.R. Nejadnik

In this thesis we explore machine and deep learning approaches that address keychallenges in high dimensional problem areas and also in improving accuracy in wellknown problems. In high dimensional contexts, we have focused on computational fluid dynamics (CFD) simulations.

Discovery and development of Central Nervous System (CNS) drugs is hampered by high attrition rates.

D1.2 reports on the findings of an analysis of framework conditions relevant in the context of the data economy from a legal, a socio-economic and a technological perspective. The analysis is a key foundation for the creation of an initial, heuristic model of the European data economy. The deliverable…

D2.2 comprises the in-depth legal analysis of the initial heuristic model, focused on addressing, in more detail, the main legal concerns for data reusers in the European data economy. This detailed analysis of the legal propositions presented in D2.1 is supplemented by an analysis of the technological,…

Promotor: S.M. Verduyn Lunel

Molecular complexes can be used as electrocatalysts for oxygen reduction, water oxidation, and/or hydrogen peroxide production.

Optical projection tomography (OPT) is a tomographic 3D imaging technique used for specimens in the millimetre scale.

Actinobacteria are Gram-positive bacteria that have a complex multicellular life cycle and are well known for their ability to produce a wide range of bioactive natural products (NPs).

Despite being the object of intense study, embryonic development has been difficult to model due to a number of reasons. First, complex tissues can be comprised of many cell types, of which we probably only know a subset.

In this special edition of Information Polity there is a focus on the transparency challenges of using algorithms in government in decision-making procedures at the macro-, meso-, and micro-levels.