2 joint initiatives began in 2019 which attempt to connect the various efforts around active learning at Leiden University: the active learning network, and the Saltswat project.

This project develops methods for ensuring the anonymity of individuals in social network data.

Thanks to data science, we can chart and search enormous quantities of related information. This generates all kinds of new insights, for example in complex global financial structures or such societal problems as loneliness.

The Leiden University Medical Anthropology Network (LUMAN) brings medical anthropologists together with the aim of fostering interfaculty collaborations and creating common ground for working interdisciplinary on health-related themes in Leiden and beyond.

A Diachronic Perspective on the Aegean

Promotor: F. Arbab, R. De Nicola, Co-Promotor: M. Tribastone

SDN (Software-Defined Networking) represents a revolutionary approach to network architecture that enables the dynamic and flexible management of network resources through software-based control. This dissertation introduces the idea of SDN and its southbound protocol OpenFlow, then presents the formal…

What is “teaching excellence” in Higher Education? Which different teaching excellence training, promotion and reward schemes exist across Europe? How can a common European teaching scheme look like? The e-NOTE project led by Leiden University seeks to answer these question in cooperation with five…

In this project, we use social network analysis to analyze the behavior of users in online forums and associated marketplaces over time.

This study examines recovery planning committees across Japan's Tohoku region.

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

Transport inspectorates are looking for novel methods to identify dangerous behavior, ultimately to reduce risks associated to the movements of people and goods. We explore a data-driven approach to arrive at smart inspections of vehicles.

Promotor: H.J. van den Herik, B.R. Katzy, Co-promotor: K. Sailer

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

This thesis describes the design, characterization and application of dextran based crosslinked network.

The Data-Driven Drug Discovery Network (D4N) is an initiative by researchers from Leiden University and collaborators to join efforts in applying and developing novel techniques from data science to drug discovery and related topics from bioinformatics.

This dissertation presents four separate chapters, all striving towards the same goal: to understand dynamic phenomena occurring in dynamic networks and to explore the emergence of equilibrium in a broad sense.

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Material Crossovers

The European Network on Psychoeducational Assessment, Intervention and Rehabilitation (ENPAIR) focuses on two related topics. The first is research regarding psychological and psychoeducational assessment procedures. The second is research on development and implementation of psychological and psychoeducational…

On Wednesday 21 May Adrian Perkasa successfully defended a doctoral thesis and graduated.

Dr. Cátia Antunes and prof. Jos Gommans both edited and contributed to this interesting book, that consists of articles that offers a new insight into the macro and micro worlds of the global Dutchman in Asia.

The Latin America and Caribbean Security and Intelligence Network (LACSIN) brings together scholars, practitioners, government agencies and the diplomatic community to develop novel and interdisciplinary approaches to addressing key areas of security and intelligence in Latin America and the Caribbe…

Intelligence of the crowd, or in other words, intelligence of a large, random collective, exists mostly in social media platforms such as twitter. The collective does not comprise (at least not necessarily) experts on crises, just regular people mostly. Nevertheless, there is valuable intelligence to…

Read more about the International Network Open Science & Scholarship Communities in our Vision and Mission statements.

Innovation plays an essential role in firms' competitiveness and long-term success. It varies from different types, ranging from run-of-the-mill innovation that brings incremental changes to existing technologies to radical innovation that breaks from existing trajectories.

The Swahili coast has a long-standing history of transoceanic Islamic connections dating back to the 25th century. Yet, print, has changed the world – not only ours. This project unravels unique forms and archives of intellectual history emerging from within South-South connections. In East Africa Indian…

Drawing on insights from past and contemporary scholars and world leaders, the report explores the concepts of a new social contract, a new global deal, and networked and inclusive multilateralism introduced recently by Secretary-General António Guterres to help the United Nations better grapple with…

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

This thesis explores squaramide-based supramolecular polymers and hydrogels, enhancing their mechanical strength for 3D cell culture.

This thesis develops statistical methods for the analysis of high dimensional data: high dimensional networks reconstruction (Chapters 1-4), incorporation of prior information in networks reconstruction (Chapters 2-4), incorporation of prior knowledge in genetic association studies (Chapter 3).

igraph development focused on improving the most-used interfaces, which are Python, R, and Mathematica. Additionally, the developers aim to make the library and the interfaces easier to maintain, focusing on long-term sustainability. This ensures that igraph continues to be a useful tool for network…

EnSMiRT seeks to harness expertise within the Una Europa alliance and foster collaborations between leading researchers working on several stages of the mineral value chain to address these pressing challenges head-on.

How do plants lure microscopically small 'support teams' into their roots for protection against diseases? And what functions are activated in the microbes and the plants?

This thesis is divided into two parts. In Part I we study metastability properties of queue-based random-access protocols for wireless networks. The network is modeledas a bipartite graph whose edges represent interference constraints. In Part II we study spectra of inhomogeneous Erdős-Rényi random…

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Promotor: Ed F. Deprettere, Co-promotor: Todor P. Stefanov

Which adolescents are more at risk of developing social anxiety disorder later in life?

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

The current study focuses on Walpole’s social network and the language as contained in the letters of the network members.

A P300-based Brain Computer Interface character speller, also known as P300 speller, has been an important communication pathway, under extensive research, for people who lose motor ability, such as patients with Amyotrophic Lateral Sclerosis or spinal-cord injury because a P300 speller allows human-beings…

Mr. Sujadi defended his thesis on 29 June 2017

The central aims of this project are to establish the shapes of the various urban hierarchies existing in the provinces of the Roman Empire and (especially) to use the quantitative properties of these hierarchies to shed new light on levels of economic integration.

In an age before GoogleDocs and LinkedIn, 19th-century scholars relied on letter-writing for collaboration, peer-feedback and the building and sustaining of academic networks. Letters were a quick, efficient way to share insights, data and discoveries. Scholarly correspondence thus allows a vital behind-the-scenes…

Beyond Empires explores the complexity of empire building from the point of view of self-organized networks, rather than from the point of view of the central state.

Diacylglycerol lipases (DAGLα and DAGLβ) convert diacylglycerol to the endocannabinoid 2-arachidonoylglycerol. Our understanding of DAGL function has been hindered by a lack of chemical probes that can perturb these enzymes in vivo.