Research on this theme concerns Europe’s position in global markets, its response to the emergence of new international trade and financial actors that challenge institutions where Europe has long had considerable influence.

Following their application to system biological models, control theory techniques have further potential to aid in the understanding and application of quantitative systems pharmacology models.

Radiography is an important technique to inspect objects, with applications in airports and hospitals. X-ray imaging is also essential in industry, for instance in food safety checks for the presence of foreign objects.

In this work we describe three methods to improve the performance of Quantum Field Theory calculations.

Are you thinking about studying Book and Digital Media Studies? Learn more and watch the introduction video.

Are you thinking about studying the Advanced LL.M. Law and Digital Technologies? Learn more and watch the videos.

The rise of the digital age affects public governance in many ways. Digitalisation and data impact every aspect of public governance and policy. Within Leiden University’s Public Administration institute, based in The Hague -the administrative capital of the Netherlands- our centre seeks to understand…

Blended and hybrid teaching are presented as crucial in promoting teaching innovation, as well as more flexible study approaches allowing students to develop their own tailor-made study programmes. While the strategy document focuses on the positive aspects of digital teaching tools, no systematic study…

Damien Van Puyvelde and Paul Oling explore how government intelligence agencies can effectively collaborate with the private technology sector to meet their evolving technological needs, focusing particularly on emerging technologies such as artificial intelligence (AI) and quantum computing.

How does the social infrastructure affect administrative burdens associated with digital government services? The paper 'Administrative burden in digital public service delivery: The social infrastructure of library programs for e-inclusion' published in the Review of Policy Research by Sarah Giest…

Leader in law and technology education and research since 1985.

This article presents a systematic review aiming to provide a comprehensive overview of cybersecurity training methods and assess their effectiveness.

For this project we delve into children's digital media use during the transition from kindergarten to group 3 and investigate its impact on their social development.

Promotoren: R. Tijdeman, A.K. Lenstra, Co-promotor: H.J.J. te Riele

We are developing biology-driven platforms to measure metabolites based on liquid chromatography-mass spectrometry (LC-MS), gas chromatography-MS (GC-MS), and capillary electrophoresis-MS (CE-MS).

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.

On 5 September, Elize de Mul defended the thesis 'Digital Döppelgangers: identity in the Culture of Imagination'. The doctoral research was supervised by Simone van der Hof and Esther Keymolen.

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Promotor: R. Tijdeman

In this project we ask: how does pollution manifest as part of different practices, both socially and materially.

To develop a new generation of brain science (and train scientists) focused on explaining complex real-world behavioural patterns.

This inaugural lecture discusses the question: How to cooperate in the digital era?

While self-driving cars and autonomous weapon systems have received a great deal of attention in media and research, the general requirements of ethical life in today’s digitalizing reality have not been made sufficiently visible and evaluable.

In this article, Barrie Sander together with his colleagues explore whether fairness in digital governance inadvertently entrenches structural inequalities

The abundance of images in our everyday lives-and the speed at which they are consumed-seems to have left us unable to critique them. To rectify this situation, artists such as Daniel Richter, Jaune Quick-to-See Smith, and Artur Zmijewski have demonstrated that painting is brilliantly equipped to produce…

Promotor: Prof.dr. T.H.W. Bäck

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.

In this project, researchers and lecturers from LUCAS, ICLON and UBL join forces to publish expertise and experience in the field of machine learning and AI as open learning materials for secondary education.

This thesis investigated miniaturized mass spectrometry (MS)-based analytical methods to address challenges in analyzing biomass-restricted biological samples.

Statistical considerations guide the design and implementation of the experiments that scientists perform. For instance, in a clinical trial about a the efficacy of a treatment, its effect in a certain minimum amount of patients has to be observed in order to make confident assertions about the efficacy…

Cette étude montre que le développement phonético-phonologique en fulfulde et bambara est à la foiscomparable au développement langagier dans d’autres langues du monde et influencé par les caractéristiques phonétiques et phonologiques de ces deux langues notamment au niveau de la phonotaxe.

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…

The zebrafish is a promising vertebrate model organism in early drug discovery and development.

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

This book explores how demographic changes, especially population decline and ageing, influence digital innovation within the public sector. Drawing on an analysis of 110 Italian municipalities, the research illuminates the under-researched impact of 'big but slow moving' macro-level factors.

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

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