The research programme Statistical Science is concerned with the analysis and interpretation of masses of data, the quantification of uncertainty using probability models, and the development and benchmarking of algorithms and methods with these aims.

The RISIS project aims at creating a distributed research infrastructure to support and advance science and innovation studies. This will give the field a strong scientific push forward, and at the same time, provide a radically improved evidence base for research and innovation policies, for research…

Leiden University and the Ministry of Infrastructure and Water Management are involved in a collaboration in the form of a research project titled 'Data-Driven Risk Assessment in Infrastructure Networks'.

Data science is now growing fast in many places, but scholars at Leiden University have been developing data science techniques for a long time already. Thanks to their broad-based expertise, Leiden statisticians are currently combining the achievements in statistics with the latest methods of statistical…

There are around 300,000 people in the Netherlands who donate blood on a regular basis. Women can give blood up to three times a year and men up to five times, resulting in approximately one million blood donations each year. Patients that receive this donated blood are already in a vulnerable condition,…

LIACS is a partner in the EU Erasmus+ Curriculum Development for the Asian education system. The knowledge available in the field of Data Science and Artificial Intelligence education will be shared and adapted for the Asian market.

Study information

Combining results from bibliometric analyses, a global sample of researcher opinions and case-study interviews, a new report reveals that although the benefits of open research data are well known, in practice, confusion remains within the researcher community around when and how to share research…

The CWTS research data management guidelines outline a set of expectations about how CWTS researchers should go about handling data that is collected, processed, (re)used, and shared throughout the lifecycle of a given project.

Study information

Read-Urban was a first project to investigate whether policy recommendations can be made with the aid of linked data collections and data science and to gain experience with the success factors for such a process.

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

On Tuesday, January 30th, the first symposium of the Data Science Research Programme took place at the Sylvius Building.

VVI Research Meeting 2023-2024

Data Sets Department of Economics

The Sanquin blood bank gathers data on every donation. Around 720,000 donations are made every year. ‘That generates a mountain of highly valuable data,’ says Leiden PhD candidate Marieke Vinkenoog.

This project, commissioned by DG Research and Innovation, aims to provide information for policies that lead to the creation and improvement of the conditions which will allow researchers and European industries to safely master the properties of nanomaterials and to innovate with nanotechnology.

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…

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

Open Science means not only sharing final research results but also the underlying data. A main way to do that is by making research data FAIR: Findable, Accessible, Interoperable and Reusable.

The research in this dissertation aims to optimise blood donation processes in the framework of the Dutch national blood bank Sanquin. The primary health risk for blood donors is iron deficiency, which is evaluated based on donors' hemoglobin and ferritin levels.

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 programme group Clinical Neurodevelopment Sciences is located in the Faculty of Social and Behavioural Sciences of Leiden University near Central Station.

The programme group Educational Sciences is located in the Faculty of Social and Behavioural Sciences of Leiden University near Central Station.

Although the General Data Protection Regulation (GDPR) harmonizes the protection of personal data across the EU as of May 2018, its open norms in combination with cultural differences between countries result in differences in the practical implementation, interpretation and enforcement of personal…

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

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

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

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.

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).

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.

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.

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