On 1 November 2019, international Master's students Data Science from Leiden University presented the elaboration of their data concepts to senior officials of the House of Representatives and Rijks I-Ecosysteem. With the presentation, they successfully completed this part of the Data Science master…

BSc degrees: ‘Political Science’, ‘International Relations and Organisations’. MSc degree: Political Science, with specialisations ‘International Organisation’; ‘Dutch Politics; ‘Nationalism, Ethnic Conflict, and Development’; ‘International Politics’; ‘Political Legitimacy and Justice’; ‘Democracy…

Data science is of vital importance in preventing future outbreaks of viruses, Professor of Data Science Aske Plaat argues. Inaugural lecture entitled ‘Data Science and Ebola’ on 13 April.

Is it possible to formulate a new conceptual foundation for attributing an evaluative role to historiography of science, without relinquishing the historiographic sensitivity of recent work in the discipline?

The research group on governance of crises studies phenomena, dynamics and actors related to crisis governance. The Leiden University Crisis Research Center (CRC) is part of this Research Group.

On Wednesday, 5 September 2018, the second group of employees of the Ministry of Infrastructure and Water Management (IenW) started the managerial track of the Data Science course given by Leiden University (LCDS).

The ASCL Research Programme for the years 2019-2024 is called ‘Strident Africa: Societal and Environmental Change in the Context of 50 Centuries of History’. It examines the dramatic changes taking place on the continent in terms of population growth, urbanization, the role of external actors and the…

Promotor: P.D. Grünwald

What tools can be applied to measure the output, outcome and impact of science communication efficiently and effectively?

The overall objective of ECS is to widen and strengthen the European Citizen Science community through capacity building and awareness raising activities such as the creation of a European Citizen Science Academy and the establishment of a network of 28 ECS Ambassadors.

PhD defence

The European Research infrastructure for science, technology and innovation policy studies (RISIS2) aims at building a data and services infrastructure supporting the development of a new generation of analyses and indicators. To develop a deeper understanding of knowledge dynamics and policy relevant…

How can data science improve tax administration? Mark Pijnenburg, a senior data scientist at the Netherlands Tax and Customs Administration, decided to investigate this in a dissertation. He talks about his experiences: 'Sometimes a technique is scientifically interesting, but not applicable in real…

How can we bridge the gap between experts and the general public?

Only the fittest cyclists stand a chance of taking yellow in the brutal Tour de France. Team Jumbo-Visma is working with data scientists from Leiden. They have analysed the stages and performance of Jumbo-Visma’s riders in previous Grand Tours. And they are researching how to determine the fitness level…

The programme is designed to train you as independent researcher, while equipping you with the necessary skills to advance your career.

PathOS aims to contribute to a better understanding and measurement of Open Science impacts and their causal mechanisms. This is pivotal in order to develop effective OS policy in the EU (European Union). It will do so by collecting concrete evidence of OS effects, by studying the pathways of OS practices,…

LIACS is a partner in RISE_SMA, an interdisciplinary, international network combining excellent scholars and practitioners to enable vigorous knowledge sharing and to develop solutions for contemporary challenges for Social Media Analytics (SMA).

This project aims to improve understanding of, and responses to, the phenomenon of lone actors through analysis of comprehensive data on cases from across Europe.

Als gevolg van de grote technologische vooruitgang in de gezondheidszorg worden in toenemende mate gegevens verzameld tijdens de uitvoering van klinische onderzoeken.

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.

The use of increasingly large and diverse datasets to guide urban climate action has implications for how, and by whom, local governments are held accountable.

This thesis deals with the use of sound in interactions in the context of participatory systems and data sonification. We investigate an interactive environment where participants perceive information of the data through sound elements.

PhD defence

The research group War, Peace and Justice brings together scholars, researchers as well as current and former practitioners to explore issues related to the drivers, nature and (new) dynamics of war and conflict, comprehensive approaches to the promotion of sustainable peace, and the role of justice…

ChEMBL is a large-scale drug discovery database containing bioactivity information primarily extracted from scientific literature.

The mission of the Plant Science research programme is to contribute to the sustainable production of high quality crops, flowers and high-value bio-based products. This is realised by generating fundamental knowledge of basic biological processes related to development of plants and their interaction…

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

While bioinformatics methods deal with the analysis of sequence information (be it proteins or DNA), the field of cheminformatics is concerned with the analysis of small-molecule datasets.

Archiving Medieval and Post-Medieval Archaeological Fieldwork Data from the Eastern Mediterranean (600-2000)

The programme guarantees a thorough experience on the frontlines of physics research AND data science. It focuses on research areas where these fields overlap and in the process provides practical training of communicative and computer skills.

This project aims to explore and examine the factors that impact upon the efficacy of information disclosure duties pertaining to customer data use in online business.

OSCL members, amongst which our representative in the Archaeology faculty, were part of Data Carpentry for Social Sciences. Here's what happened.

Making sensitive data reusable through synthetic data generation

In the research programme Microbial Sciences we perform state-of-the-art research in the field of biotechnology and microbial sciences.

This project develops a scientific method to extract clinically relevant new information from patient forum websites that discuss patient experiences concerning e.g. medication, nutrition, co-morbidities, genetic factors etc.

Making the Virtuagym e-platform suitable for wheelchair users with a spinal cord injury or lower limb amputation.