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…

The master's specialisation Data Science: Computer Science at Leiden University provides students thorough knowledge and understanding of statistical and computational aspects of data analysis, including their application in databases, advances in data mining, networks, pattern recognition, and deep…

The focus of the Bachelor Data Science & Artificial Intelligence is on computer science, and its applications in Artificial Intelligence. You will receive a strong basis in mathematics, statistics and computer science, combined with advanced knowledge of machine learning, cognitive science, human-robot…

The Astronomy and Data Science master’s specialisation at Leiden University combines advanced Astronomy courses with relevant courses from the Computer Science programme at Leiden University.

Wouter Eekhout, our data magician, came in 3d place in the ‪#‎LinksSDGs‬ - Natural language processing and data visualization challenge.

Exploring the value of data-driven approaches in education: collecting, analysing, and interpreting data from educational environments to improve teaching and learning outcomes.

Computers are becoming so smart that in the future they will perhaps take over the role of judges. In the meantime, experts at Leiden University are examining the question of which standards responsible data science should meet.

This thesis applies data mining in commercial settings in the telecommunications industry.

Child homicide is a phenomenon that not infrequently leads to shock and societal unrest. However, the precise nature and scope of child homicide in the Netherlands remains unknown.

A cross-cut analysis of the ties between university research and fossil industries.

At Leiden University we like to stay in touch with our alumni. We therefore invite you by post, email or phone to lectures, workshops and masterclasses for alumni and inform you about developments in your field and at the University. With your knowledge and experience, you also make a valuable contribution…

Explaining treatment response variability between and within patients can support treatment and dosing optimization, to improve treatment of individual patients.

The main aim of this dissertation was to provide insight into possible subtle forms of bias in youth socialization by various socializing agents in the Netherlands, and exploring new ways to document bias. Additionally, it addresses the importance of using sound statistical methods for calculating effect…

DIGIFOOD is a transnational research project that investigates how data governance can support equitable and sustainable digital food systems. Around the world, digital technologies are transforming agriculture. Sensors in soil, satellites in space, and mobile phones in farmers’ hands are generating…

LUMC Technology Focus Area (TFA) Data Analytics is een samenwerkingsverband van verschillende onderzoeksgroepen in het LUMC die nieuwe kwantitatieve en computationele methodologie ontwikkelen voor biomedisch en klinisch onderzoek.

This thesis describes how complex and real-world relevant analytical solutions can be found starting from a simple Nagumo problem posed on one or two-dimensional lattices.

The Collective Experience of Empathic Data Systems (CEEDs) consortium developed novel integrated technologies that support experiencing, analysing and understanding of very large datasets.

In this PhD-thesis several new and existing data science application are described that are particularly focused on applications for tax administrations.

Edward Elgar

Developing new medicines is one of modern science's most significant hurdles, a process marked by high costs, long timelines, and frequent failures of promising candidates.

If researchers make their data FAIR, computers can link large quantities of data and identify patterns, thus greatly accelerating the process of arriving at new insights. In Leiden, the birthplace of ‘FAIR data’, Professor Barend Mons explains the meaning of this term.

Health Data Science Leiden University

Webinar with Q&A

This dissertation focuses on developing new mathematical and statistical methods to properly represent time-varying covariates and model them within the context of time-to-event analysis.

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Big data promises to transform public decision-making for the better by making it more responsive to actual needs and policy effects. However, much recent work on big data in public decision-making assumes a rational view of decision-making, which has been much criticized in the public administration…

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.

‘Tell me something I don’t know,’ said skating coach Jac Orie to Leiden data scientist Arno Knobbe. And he did. Knobbe and his colleagues now assist athletes in all kinds of ways with the help of data mining.

How can we make the information in handwritten historical research reports accessible and searchable? Data scientists at Leiden University are working with other universities on a method that will improve access to cultural heritage.

On 12 September 2019, Michiel Rhoen defended his thesis 'Big Data, Big Risks, Big Power Shifts: Evaluating the General Data Protection Regulation as an instrument of risk control and power redistribution in the context of big data'. The doctoral research was supervised by Prof. G.J. Zwenne and Prof.…

How does the cluster bootstrap procedure in combination with various types of linear models perform in the analysis of longitudinal data, compared to other methods.

Study information

Online data breaches are recurrent and damaging cyber incidents fors organizations worldwide. This study examines how organizations can effectively mitigate reputational damages in the aftermath of data breaches by hacking, through situational crisis communication strategies.

Are you curious about how science and technology contribute to a sustainable and innovative future? At Leiden University, you’ll explore the world of data, natural laws and living systems. From mathematics to artificial intelligence, from climate challenges to high-tech innovation: you’ll learn to analyse…

This thesis investigates how the assessment of circular economy (CE) at the macro-economic level can be facilitated and promoted⁠.

Are you curious about how science and technology contribute to a sustainable and innovative future? At Leiden University, you’ll explore the world of data, natural laws and living systems. From mathematics to artificial intelligence, from climate challenges to high-tech innovation: you’ll learn to analyse…

Promotor: Prof.dr. J.N. Kok, Co-promotor: Dr. A.J. Knobbe