The focus of the Multicriteria Optimization and Decision Analysis (MODA) group is to develop foundations of methods in multi-objective optimization.

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

One of the recurring points of discussion within the Criminal Justice research programme is the question of what behaviour should or should not fall within the scope of criminal law. This research theme is examined from a legal-dogmatic and social-scientific perspective.

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

In this article, Marco Cinelli, assistant professor at Leiden University College The Hague, examines proper and improper uses of Multiple Criteria Decision Analysis (MCDA) methods in energy systems analysis.

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To log into many university systems you now need to use Multi-factor authentication (MFA). This means that as well as entering your username and password, you also need to confirm your identity via an additional method.

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

Multi-Angle Dynamic Light Scattering (MADLS) is a technique that is used to determine properties of particles in suspension. The measurements give the hydrodynamic size distribution of individual particles as well as particle clusters, and assists in the interpretation of the stability of the particles…

Promotor: B. van de Water, Co-Promotores: J.H.N. Meerman, F.J. Verbeek

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

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

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.

This article provides a behavioral perspective that examines responsibility attribution to the national government (upward) and policy implementers (downward) as a function of performance relative to decision-makers' aspiration levels. The study proposes that perceived accountability increases the propensity…

The public sector is increasingly a multi-level system, with interactions between public and private actors on the national, sub-national (provinces, regions) and international level and various public, semi-public and private organisations that perform public tasks. In this minor students pay attention…

How can an effective ‘Safe and Circular by Design’ method be developed for practical application in a designer’s context, particularly for the initial stages of product design, incorporating Safe-by-design strategies, LCA/LCT, risk assessment and ethics?

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,…

In this article, Ben S. Kuipers and Joanne Murphy review recent critiques of leadership theory and practice.

The aim of this project is to gain a better understanding of daily life, diet, mobility and health in late medieval Zeeland, as well as to test the potential of multi-isotopic analyses on a Dutch assemblage.

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.

Multi-objective optimization is an effective technique for finding optimal solutions that balance several conflicting objectives. It has been applied in many fields of our world, because practical problems usually have more than one desired goal. For example, developing a new vehicle component might…

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

With textnets it is possible to visualize and analyze textual data in novel ways.

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

Why does the textural gap between the music that one can improvise and that which one can practice and learn to play (as in completely written-out music) seem to be bigger in the case of the guitar than, for example, in that of keyboard instruments?

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Analysis of neuroimaging data requires multiple steps where statistics play a crucial role. The MRI methods research group develops new statistical methods that are accurate, transparent and easy to use.

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.

The Explainatory Data Analysis group develops algorithms and theory that enable domain experts to explain data by finding interpretable patterns and models.

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

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

In this publication, Prof. Tahir Abbas, Inés Bolaños Somoano, Joana Cook, Isabelle Frens, Graig R. Klein and Richard McNeil-Willson look into the manifesto that was linked to the Buffalo attack in order to better understand the broader context and specific factors that motivated the perpetrator.

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.

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.

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

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

The research of our group is centered around dynamical systems, functional analysis and their interplay.

Research in Leiden University’s Institute of Political Science focuses on the dynamics and the interaction of political institutions, individual decision-making, and collective behaviour.

In science, it is of vital importance that multiple studies corroborate the same result. Researchers therefore need to know all the details of previous experiments in order to implement the procedures as exactly as possible. However, this is becoming a major problem in neuroscience, as animal studies…

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

How can teachers be motivated by their students’ data in making stepwise changes to their teaching practices?

This article explores the concept of issue prioritisation within the context of public administration research, focusing on decision-making processes.

The research of this programme is centered around dynamical systems, functional analysis, and their interplay.

The lack of success of new CNS drugs in clinical development is in part due to the complexity of the CNS, unexpected side effects, difficulties for drugs to penetrate the brain, but also by the lack of biomarkers.

How do individuals make decisions? What determines the quality of group decisions? When and why do people cooperate with others? How does intergroup competition evolve?

This handbook provides a resource for those already familiar with some kinds of micro-particles who wish to learn more about others, or for those just starting out in the study of microremains who wish to have a broad understanding about microscopic archaeology.

Green infrastrucuture (GI) like urban farm and green roofs could provide many beneficial functions in cities. These include for example food production, flood prevention or increasing biodiversity. MultiGreen project aims at developing an integrated modelling tool to support…