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

Promotor: A.P.IJzerman Co-promotor: A. Bender

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…

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This page provides an overview of our data management practices.

Data sets available for scientific/research purposes

Three major cosmology-focused missions are planned for the next decade: the Euclid space telescope, the Vera C. Rubin Observatory in Chile, and the Nancy Grace Roman Space Telescope.

The group Statistical Science is responsible for research and teaching in statistics and data science.

Are you thinking about studying Statistics and Data Science? Learn more and watch the introduction video.

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

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'.

This page is under construction.

The objective of this project is to fundamentally improve our understanding of the ways in which science progresses. Empirical studies have used bibliographic metadata to provide relevant insights, but these studies have failed to tell us how science progresses. Supported by computational advances and…

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 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.

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

Software and Data of the department Industrial Ecology

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

The Digitalisation, Data and Governance specialisation of the Bachelor of Public Administration focuses on current digitalisation issues in public administration. How does the government handle citizens' data? Is the government doing enough to restrict the use of your data by tech companies? How do…

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,…

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.

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.

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…

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

Due to the modern techniques of combinatorial chemistry and high-throughput screening, data on the biological activity of many millions of compounds is known. However, it is still very difficult to transfer this data into knowledge: if we know that compounds A and B bind to a certain protein with high…

Edward Elgar

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.

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.

Creating information portals for support of European environmental policy.

e-SIDES (ethical and societal impact of data sciences) is a Coordination & Support Action (CSA) part of the Horizon 2020 programme.

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.

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…

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.…

In this thesis we explore machine and deep learning approaches that address keychallenges in high dimensional problem areas and also in improving accuracy in wellknown problems. In high dimensional contexts, we have focused on computational fluid dynamics (CFD) simulations.

The coronacrisis is emerging as the ultimate test for political leaders. How do national political leaders get ahead or behind ‘the curve’ of fast-changing dynamics. Martin Lodge (London School of Economics and Political Science) and Arjen Boin (Leiden University Institute of Political Science) look…

On 21 November 2018, Lieke Kools defended her thesis 'Essays on wealth, health, and data collection'. The doctoral research was supervised by Prof. dr. K.P. Goudswaard en Prof. dr. C.L.J. Caminada.

Tools and Data of the department of Environmental Biology

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.

Promotor: Prof.dr. T.H.W. Bäck

You can find more information on the Dutch webpage. Click on the “Nederlands” button above.

Researchers of the Leiden Institute of Advanced Computer Science (LIACS) have started a 4 year project on developing a system that sends out automatic alerts when components from engines are showing first signs of fatigue.

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).

Wetland plants are distinguished from plants of other terrestrial ecosystems by their adaptations to specific habitat stresses, including waterlogged and flooding and the subsequent abundance of phytotoxic compounds.

Wessel Kraaij has been appointed Professor of Applied Data Analytics with effect from 1 March 2016. Kraaij will use new methods to analyse big data sets. He intends to use data from various data-intensive research fields to test these methods in practice.

Comparing individual health data with group data allows doctors to give personalised advice and patients to learn from one another's experiences. Wessel Kraaij, Professor of Applied Data Analytics, shows how personal data can have a valuable predictive function. Inaugural lecture 24 February.

Sport Data Center

The 2012 crisis in Mali, where the state collapsed and terrorist groups took over the north, came as a surprise to many. Mali had been considered a poster-child for democracy and was judged as considerably more stable than its neighbors by leading quantitative indices of state fragility. This article…

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.