On the 14th December 2016, Steven L. Schwarcz, Stanley A. Star Professor of Law and Business at Duke University School of Law gave the thirteenth Hazelhoff Guest Lecture. Professor Schwarcz questioned the often-heard assumption that systemically important financial institutions engage in excessive…

From 25 May, a new European privacy law will apply. Companies and authorities must deal with personal data in a clearer and safer manner. Bibi van den Berg, Professor of Cyber Security Governance at the Institute of Security and Global Affairs (ISGA), tells in Nu.nl what the law entails and about the…

The Data Science for Statistical Science master’s specialisation at Leiden University gives you a better understanding of statistical models, especially in relation to Data Science, including their application and interpretation in a broad range of empirical research.

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.

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

Software and Data of the department Industrial Ecology

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.

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.

Overview of CML software and data

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…

Leiden University is investing 4 million euros in a new Data Science research programme. This is a joint initiative of all the faculties, headed by Dean Geert de Snoo at the Faculty of Science. The programme will focus on Leiden scientific data.

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…

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.

On this page you'll find selected publications and media attention from our group.

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Creating information portals for support of European environmental policy.

Research Lab

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.

The human trafficking of Eritrean refugees is a booming business, where money is made with smuggling people, but also using violence, hostage situations and even torture. Modern communication methods like money transfer via mobile phones play a vital role in this, conclude professor Mirjam van Reisen…

On the Day of Privacy, 28 January, the European Commission is calling on citizens to make sure they protect their personal data. But how do you do that, and against what, exactly? Privacy researcher Bart Custers explains.

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

LCDS organises monthly seminars for researchers and anyone else interested in Data Science. Each of these meetings is centered around a specific topic or academic field, which we approach from a Data Science perspective.

In this series of interviews, researchers from the Leiden Centre of Data Science talk about their academic discipline and the role of data science in it.

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

The origins of Surinamese rice, a digital twin of the Earth and a large big-data project in the Chilean sky: three Leiden scientists receive an ENW-KLEIN grant for innovative, fundamental research.

Sociaaleconomisch Beleid: Empirische Analyse is a new course for those students on the Bachelor’s programme in Public Administration who are following the specialisation in Economics, Administration and Management.

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.

In his new book 'The Politics of Borders', Leiden political scientist Matthew Longo redefines the concept of a ‘border’.

Promotor: P.D. Grünwald

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.

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,…

Data play an important role in any organization. More and more data are available about products, about production processes and about customers. At the annual LIACS Business Event on Wednesday 18 January, the central message was how to find irregularities in Big Data, and how it can help you to track…

Determining new protein structures from X-ray diffraction data at low resolution or with a weak anomalous signal is a difficult and often an impossible task.

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.

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

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.

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Sport Data Center

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

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.

We produce more data than ever before, and researchers gather more and more information. That data contains a wealth of insights and new possibilities. But how do you extract them? In Leiden, statistics and information science come together in innovative multidisciplinary research. Read more in the…

Biologists today have to be able to work with big data. Data analysis skills should be taught from the start of the degree programme, or - even better - in secondary school. This is the message of Vera van Noort, new Professor of Computational Biology. Inaugural lecture 22 January.

Today, March 15 2016, the FAIR Guiding Principles for scientific data management and stewardship were formally published in the Nature Publishing Group journal Scientific Data.

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.

In October 2019, OSCL organised a Hackathon on the ins and outs of MRI datasharing

Wiskunde en Natuurwetenschappen, Mathematisch Instituut (MI)