Stochastic resetting is simple enough to be approached analytically, yet modifies stochastic processes in a non-trivial way.

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.

Promotor: S.M. Verduyn Lunel, Co-promotor: O. van Gaans

Real-life processes are characterized by dynamics involving time. Examples are walking, sleeping, disease progress in medical treatment, and events in a workflow.

How can zebrafish models be used to gain a better understanding of host-pathogen interaction mechanisms and to screen new drugs for infectious disease treatment?

The discovery that eleven asteroids might collide with our Earth has become world news. The research of three Leiden astronomers has appeared on more than 190 news sites worldwide, from America to China. They developed and trained an artificial neural network for this discovery.

The precolonial inhabitants of the Caribbean islands communicated, travelled, and exchanged objects and ideas along an expansive inter-island network. New methods of computer modeling shed light on these networks. Emma Slayton is set to discuss her work on this topic at her Defense on the 12th of Se…

PhD Defence

Lecture

Lecture

Modelling supra-regional communities in the early 3rd Millennium BC

Lecture

This dissertation consists of two parts, with the common theme "Exploration on and of Networks".

Promotor: Prof.dr. E. Deprettere

How do we address the pressing challenges posed by large-scale networks?

For many system in statistical physics the microcanonical and canonical ensemble are equivalent in the thermodynamic limit, but not for all.

Promotor: E.F.A. Deprettere, Co-Promotor: A.C.J. Kienhuis

The Leiden Complex Networks Network (LCN2) aims at bringing together scientists from different disciplines, based on a common interest in both theoretical models and empirical analyses of networks and graphs.

NETWORKS, a new consortium of 11 researchers from the University of Amsterdam, Technical University Eindhoven, Leiden University and CWI aims to address the pressing challenges posed by large-scale networks using stochastics and algorithms.

Promotor: A.W. van der Vaart

Can the (industrial) herbal extraction process be mathematically described and can this model be used to optimize the extraction in terms of quality and economical parameters?

How can citizen science be used to communicate and provide data for social network analysis?

Main challenges in skin vaccination are overcoming the stratum corneum (SC) barrier and targeting the antigen presenting cells (APC) in the epidermis and the dermis.

The recent terrorist attacks in Europe are presumably not just acts committed by individuals, but acts facilitated by larger jihadist networks. But how do such networks operate? Understanding their modus operandi can be useful knowledge to counter terrorist threats.

We strive to address the challenge of constructing a modeling language to write software which can take advantage of recent hardware developments (multicore, cloud) without compromising in its abstraction levels.

This dissertation studies how domestic regulatory agencies and the officials representing them are influenced by and deal with the increasingly complex transnational environments in which they have come to operate. Based on (social) network analysis it demonstrates how decisions of domestic agencies…

Professor Frank den Hollander has been awarded a 10-year grant through the NWO Gravitation program, jointly with colleagues from the University of Amsterdam, the Center for Mathematics and Computer Science in Amsterdam, and the Technical University of Eindhoven.

Promotor: Roeland M.H. Merks

Clinical development of drugs for central nervous system (CNS) disorders has been particularly challenging and still suffers from high attrition rates.

In this project, we aim to develop mathematical models to mechanistically and quantitatively predict the dynamics of cellular stress pathway activation and its relation with toxic effects when cells are exposed to various toxicants.

Promotor: Prof.dr. B. van de Water, Co-promotores: L.T.M. van der Ven, A.S. Kienhuis

We study the structure, dynamics and physics of complex networks emerging from the intricate interconnectedness of the constituents of large systems.

How and under what conditions Dutch primary school principals' managerial networking activities affect the performance of their school

Are predictive archaeological maps a reliable tool to play an important role in the spatial planning? One of the goals of this project was to develop best practices for the production and application of the models.

Promotores: Prof.dr. P.C.W. Hogendoorn & Prof.dr. H.P. Spaink, Co-promotor: Dr. B.E. Snaar-Jagalska

How can novel bioimaging technologies and vertebrate model species be used to gain a better understanding of early cellular behaviours with the ultimate goal to increase our understanding of human development and disease processes?

Promotor: Prof.dr. J.N. Kok

Tracing the residues of Neolithic activities through the study of stone artefacts

Growth hormone profiles are pulsatile and highly variable between individuals, limiting the implementation of mathemathical models to quantify an individual's secretion.

Business Process Model and Notation (BPMN) has become the standard for business processes diagrams.

The molecular mechanisms that instigate a healthy cell to become malignant are fueled by (epi)genetic alterations in so-called driver genes.

Promotor: Prof.dr. W.J.G.M. Peijnenburg, Co-promotor: Dr. ing. M.G. Vijver

Promotor: Prof.dr. B. van de Water, Co-promotor: L.S. Price

Dementia is a progressive disease, diagnosed at a relatively late stage when intervention may not be effective. Aim of the research is to study scans of brain networks to help discover the early network changes related to dementia. Early diagnosis may benefit effectiveness of future treatment.

Promotor: F.H.J. Redig, Co-Promotor: W.T.F. den Hollander

An integrated approach of physiological concepts, advanced statistical approaches and large clinical datasets.