On the 10th of January, Astrid van Winden successfully defended a doctoral thesis. The Leiden University Centre for Linguistics congratulates Astrid on this achievement!

Unmanned aerial vehicles (UAVs), often referred to as drones, have become easy and inexpensive to buy, and it is generally expected that the use of drones by private individuals, businesses and public authorities will increase tremendously in the coming years. This raises questions as to what is technologically…

To what extent did The Netherlands' attitude towards European integration change after the 2005 referendum on the European Constitution?

Dit rapport vormt het resultaat van het zogenaamde ALIMENT-project (Animals and Livestock Provisioning in the Modern Town), dat werd gefinancierd door de Vlaamse overheid.

Leidse milieuwetenschappers doen onderzoek naar microplastics, bestrijdingsmiddelen en bemesting. En binnenkort naar lichtvervuiling en nieuwe materialen uit de nanotechnologie.

Dit rapport maakt deel uit van het project Receptenboek burgerparticipatie in opdracht van de Rijksdienst voor het Cultureel Erfgoed (RCE) en met steun van het Fonds voor Cultuurparticipatie.

Sarah Giest and Annemarie Samuels, both Assistant Professors at Leiden University, researched the quality and coverage of the data being collected for policiymakers to be used, specifically pertaining to minority groups.

Is the quality of the current supervision and enforcement by the government such that companies that work with large quantities of hazardous substances are brought into compliance with legislation and regulations?

This dissertation presents the results of the importance of creativity for ICT-students of Dutch universities of applied sciences (in Dutch: hogescholen), and the functioning of training courses that aim to promote creative abilities is highlighted.

How sustainable are open data infrastructures? Will the data we need in the future be available and usable? This project takes COVID-19 data/infrastructures as a case to study the sustainability and dynamics of open data infrastructures.

On Thursday 30 May 2024 Corrie van Maris successfully defended a doctoral thesis and graduated.

Data reuse and big data: a taxonomy for personal data reuse.

Met AI kunnen nieuwsredacties razendsnel beelden genereren — maar tegen welke prijs? Dit onderzoeksrapport opgesteld door prof. dr. Jaap de Jong, dr. Astrid Vandendaele, Maartje van der Woude en Stef Arends (Universiteit Leiden), baseert zich op 59 interviews met beeldmakers, redacteurs en experts uit…

By comparing individual health data with population data, doctors can provide personalized health advice and patients can learn from each other's experiences. Wessel Kraaij, professor of Applied Data Analytics shows how personal data can have predictive value.

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…

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.

Data Sets Department of Economics

Today, everybody and everything produces data. People produce large amounts of data in social networks and in commercial transactions. Medical, corporate, and government databases continue to grow. Sensors continue to get cheaper and are increasingly connected, creating an Internet of Things, and generating…

Promotor: J.N. Kok, Co-Promotor: A.J. Knobbe

The change from a closed institution to an open living environment for patients with late stages of dementia will give the patients more freedom in their day-to-day life. The effect of this change on the patients’ mobility, activity and interaction with others will be assessed with sensor technology…

LACDR adheres to strict data management rules, with the aim to make our data findable, accessible, interoperable and re-usable. For this reason all LACDR PhD candidates are required to prepare a data management plan and to implement data management rules accordingly. All PhD candidates follow a data…

The ability to collect and interpret huge quantities of data has become indispensable to society and academia. Leiden University is a knowledge and expertise centre for data science that places the emphasis on interdisciplinary collaboration and innovation.

The majority of scientists, from archaeologists through to zoologists, collect huge volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics, we can develop algorithms for analysing and identifying patterns…

How can teachers be motivated by their students’ data in making stepwise changes to their teaching practices?

The majority of scientists, from archaeologists through to zoologists, collect enormous volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics and computer science, we can develop algorithms for analyzing…

De overheid moet in een democratie openbaarheid nastreven, maar soms is geheimhouding noodzakelijk om belangen als veiligheid of privacy te beschermen. De Wet open overheid (WOO) bevat daarom een recht op overheidsinformatie, maar staat ook uitzonderingen daarop toe om in de wet gespecificeerde belangen…

What consequences does Brexit have for the protection of personal data?

The project 'Data use, online consumer needs, business strategies and regulatory response' aims to explore and examine the factors that impact upon the efficacy of information disclosure duties pertaining to customer data use in online business.

Promotores: J.C. van Houwelingen, S.A. van de Geer

Op donderdag 17 april 2025 neemt prof. dr. Marco Mostert, Hoogleraar Middeleeuwse Geschiedenis aan de Universiteit Utrecht afscheid.

On 7 February 2019, Helena Ursic-Vrabec defended her thesis 'Uncontrollable: Data subject rights and the data- driven economy'. The doctoral research was supervised by Prof. dr. S. van der Hof.

Promotor: J.N. Kok, Co-promotor: W.A. Kosters

At Psychology Lab on Wheels, we take your privacy and the security of your personal data very seriously. We want to assure you that all the information collected during this study will be handled in accordance with the General Data Protection Regulation (GDPR).

Data management is crucial for the success of research projects.

As a PhD candidate, you probably work with personal data. That’s not just names and telephone numbers – it can also include things like cookies. To keep (personal) data as secure as possible, the university has established an information security policy.

Health research, medical practice and consequently the whole population is increasingly affected by digitization, data science and AI.

The Explainatory Data Analysis group develops algorithms and theory that enable domain experts to explain data by finding interpretable patterns and models.

Why should you publish your data? ... and how?

Data Science (DS) and Artificial Intelligence (AI) are omni-present and have the potential to be incorporated in various fields. However, in order to live up to this expectation, a good understanding of the techniques, their implications and limitations is required. In this minor you develop insights…

Collecting data in sports increased in importance the last few years.

Industrial manufacturing processes, such as the production of steel or the stamping of car body parts, are complex semi-batch processes with many process steps, machine parameters and quality indicators.

Sport Data Center

Our group is part of the Metabolomics and Analytics Centre where we accompany the data from its acquisition all the way to the publication of identified associations and biomarkers for a range of human diseases. The generated data of the metabolic measurements are assessed using an in-house quality…

The Data Science Research Programme aims to advance the state of the art in Data Science research and to accelerate the use of Data Science methods at all faculties of Leiden University.

The master’s programme Statistics & Data Science provides students with a thorough introduction to the general philosophy and methodology of statistical modelling and data analysis. The programme has two specialisations: Data Science and Statistical Science.

Although science and education have top priority, exploratory projects with companies, governments and NGOs generate ample opportunities in terms of societal challenges, science strategy, valorisation and research collaboration. In the LIACS Applied Data Science Lab, our master's students and graduates…

Data sets available for scientific/research purposes.

This page provides an overview of our data management practices.