Systems with local constraints is a new finding in recent researches on complex systems. The heterogeneous spatial interactions and the temporal dependencies among those numerous units make it difficult to describe by traditional statistical physics.

The Leiden University Centre for the Digital Humanities (LUCDH) invites applications from Leiden University staff and students for funding aimed at developing Digital Humanities activities.

Dit artikel presenteert een systematische review van verschillende trainingsmethoden op het gebied van cyberbeveiliging.

Promotor: Prof.dr. T.H.W. Bäck

Op 9 mei 2018 verdedigde Roy van Keulen zijn proefschrift 'Digital Force: Life, Liberty & Livelihood in the Information Age'. Het promotieonderzoek is begeleid door promotor prof.dr. A. Ellian.

Promotores: Prof.dr. H.J.M. de Groot, Prof.dr. J. Matysik (Universitaet Leipzig)

Jaroslaw Kantorowicz and Rok Spruk onderzoeken de bijdrage van institutionele hervormingen aan economische groei.

Promotores: R. Cramer, A.K. Lenstra, Co-Promotor: B.M.M. de Weger

Governance and Global Affairs, Institute of Security and Global Affairs

Wiskunde en Natuurwetenschappen, Centrum voor Milieuwetenschappen Leiden (CML)

Femke Bakker, Hawks and Doves: Democratic Peace Theory Revisited

Advanced mass spectrometry of glycosphingolipids takes the central stage in this thesis. Investigations focus on characterization of glycosphingolipid metabolism in health and disease with emphasis to the detection and accurate quantitation of known and so far unknown glycosphingolipids and closely…

The aim is to develop methods to assess environmental and occupational exposure to (individual) pesticides, to be applied in epidemiological studies investigating pesticide exposure and human health. Furthermore, we aim to investigate the potential association between exposure to pesticides and Parkinson’s…

The research presented in this thesis concerns one of the most important questions in software engineering of our time: how can we make sure that software is free from memory safety bugs?

This dissertation is about Bayesian learning from data. How can humans and computers learn from data?

The way organisms develop from the initial single-cellular state to a complex final assembly like the human body, and how the final body is maintained throughout life, is one of the greatest mysteries and it’s understanding one of the biggest scientific challenges.

n this thesis we study curves. In the first half, we study moduli spaces of curves and Gromov-Witten invariants, certain kinds of curves counts. We employ logarithmic geometry for this.

In this Yearbook you will find some fascinating examples of what was done in 2021, not only by ourselves, but also by our international colleagues.

We study the interplay of topology and geometry with chirality for several passive and active systems, employing both analytical and numerical methods.

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.

Het The Hague Program for Cyber Norms, een onderzoeksprogramma van het Institute of Security and Global Affairs, heeft zijn eerste beleidsnota gepubliceerd. Hierin onderzoeken Dennis Broeders, Sergei Boeke en Ilina Georgieva de rol van inlichtingendiensten in cyberspace en de (on)mogelijkheden van adequate…

In astronomy, the interpration of observations and measurements plays a crucial role: we rely purely and fundamentally on the information that reaches us as observers. And 80% of all matter in the universe is undetectable directly.

Op 27 februari 2019 was Kampala International University (KIU) de locatie van de conferentie ‘Digital Health and Development in Data Science in Uganda’. Professor Mirjam van Reisen van het Leiden Centre of Data Science was een van de hoofdsprekers.

In the first part of this thesis we study the geometry of folding patterns.

In this thesis, we extend the concept of null models as canonical ensembles of multi-graphs with given constraints and present new metrics able to characterize real-world layered systems based on their correlation patterns.

Lipid signaling is an essential biological event/process in a plethora of pathophysiological conditions. The underlying idea of this thesis is that many of the roles and the complex interplay of the individual signaling lipids in inflammatory processes and related conditions in health and disease is…

The main theme of this thesis is the theoretical study of Gaussian processes as a tool in Bayesian nonparametric statistics.

The lysosomal β-glucosidase named glucocerebrosidase (GCase) is a retaining β-glucosidase that hydrolyzes the glycosphingolipid glucosylceramide (GlcCer) to ceramide and glucose at acid pH.

Promotor: T. Hankemeier, Co-Promotores: T. Reijmers, L. Coulier

This thesis covers various applications of topology in condensed matter physics and quantum information.

A small insight into the annual study trip to Brussels of the advanced master programme Law and Digital Technologies.

De vakgroep van Advanced Master Law and Digital Technologies is ontzettend trots door deze vermelding!

In this thesis we present several methods to automate tomographic reconstruction algorithms and several novel tomographic reconstruction algorithms with the focus on being easily applicable and efficient to use.

Promotor: R. Verpoorte, Co-promotores: Y.H.Choi, N.R. Mustafa

In this thesis an activity-based probe was discovered that could visualize the activity of PLAATs. With an optimized gel-based ABPP assay in hand, screening of a compound library led to the discovery of alpha-ketoamides as a hit for PLAAT3.

Organic molecules in interstellar space are important as they influence the structure of galaxies and star formations. Studying catalytic processes in space allows us to understand how molecular species are formed and chemically evolved in the interstellar medium and solar system objects.

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.

Promotor: Thomas Hankemeier, Co-promotores: Heiko van der Linden, Paul Vulto

Big Science, commonly defined as conventional science made big in three dimensions, namely organizations, machines, and politics, brings a plethora of different stakeholders together, often for a long period of time. This includes policymakers, scientists, (scientific) managers as well as local “host”…

The extensive use of electronic communication channels and other devices has opened new possibilities for collecting data on human behavior. This information is sometimes openly accessible, but largely part of administrative registration systems that are not open to the broader public. The data provides…

This thesis takes steps toward understanding the interaction between gas-phase and solid-state molecules in star- and planet-forming regions.

The focus of this thesis is on the technical methods which help promote the movement towards Trustworthy AI, specifically within the Inspectorate of the Netherlands.

Promotores: Prof.dr. G.F.A Kersten, Prof dr. J.A. Bouwstra

Promotores: A.P. IJzerman, H.W.T. van Vlijmen

Promotor: A.W. van der Vaart

Op 12 december 2018 heeft de Afdeling Jeugdrecht, op initiatief van mr. dr. Yannick van den Brink, dr. Stephanie Rap en prof. dr. mr. Ton Liefaard, een expert meeting georganiseerd over het thema ‘Equality, children’s rights and digital technologies’. Het doel van deze bijeenkomst was om tot een onderzoeksagenda…

Heterogeneous catalyzed processes are highly significant to the chemical industry. Dissociative chemisorption (DC) of molecules on surfaces is always considered as a step with a high degree of rate control for heterogeneous catalysis.

In this thesis,

Promotor: Prof.dr. E. Smets, M. Stech

In this dissertation, matching, entropy, holes and expansions come together. The first chapter is an introduction to ergodic theory and dynamical systems.