Metal-containing molecules combine geometrical features and a reactivity that are inherently different from that of organic molecules. My research focuses on light-activatable metal-based anticancer drugs and metal-functionalized liposomes. Light is a very selective way to activate photosensitive drugs…

De minor Data Science & Artificial Intelligence geeft een toegankelijke introductie tot de theorie en praktijk van datawetenschap en kunstmatige intelligentie. Studenten leren de basis van data-analyse en patroonherkenning in grote gegevensverzamelingen, hoe computers leren en ook het interpreteren…

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

Data sets available for scientific/research purposes.

This page provides an overview of our data management practices.

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

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

Social science research helps us understand human behaviour and social structures. These are determined by various factors, which makes the research complex and increases the likelihood of drawing the wrong conclusions. The choice of research method and analysis is therefore extremely important. It…

How can zebrafish research help to understand and fight human cancer?

Promotor: Prof.dr. R. Verpoorte, , Co-Promotor: Young Hae Choi

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

Researchers of the Leiden University Medical Centre (LUMC) and the Leiden Institute of Chemistry have made an important discovery about the commonly used anti-cancer drug doxorubicin. They have found a way to reduce its side effects without sacrificing the effectiveness of the medication. This is encouraging…

The consequences of social tendencies for the legislation and institutions in the fields of social security, the labor market policy and pension reform are examined in this multdisciplinary research program..

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 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…

This page is under construction.

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.

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.

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

Software and Data of the department Industrial Ecology

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

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…

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.

Overview of CML software and data

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.

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…

Why does social anxiety increase in adolescence and how does it grow out of control in some adolescents?

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

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.

This project aims at studying the social media reception of African publications as covered by the most important “altmetric” sources.

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…

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

This thesis, conducted in the framework of ERC Starting grant project BABYLON (PI: Caroline Waerzeggers), presents an investigation into Babylonian society, focusing on the city of Borsippa during Neo-Babylonian and early Persian rule (c. 620-484 BCE).

In photoactivated chemotherapy (PACT), a biologically active compound is caged by a light-cleavable protecting group.

Graduation Ceremony

Edward Elgar

This dissertation takes an important step in understanding the phenomenon of non-take-up of social support and what it means for contemporary social policies.

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

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.