The ability to collect and interpret huge quantities of data has become indispensable to society and academia. Leiden University is a knowledge and expertise centre for data science that places the emphasis on interdisciplinary collaboration and innovation.

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

The representation of death children in Dutch literature through time

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

Understanding how data derived from wearable technology can be used to identify effective changes in behaviour that are likely to result in health improvements

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.

The film Blade Runner as part of the law curriculum? It’s not that weird to Maartje van der Woude, Professor of Law and Society, and Frans-Willem Korsten, Professor of Literature, Culture and Law. ‘The film raises a fundamental question: what’s a human and what’s not?’ From the next academic year onwards,…

This project examines the intriguing relationship between Greek literary criticism and Latin literature in Rome (first centuries BC and AD).

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).

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

Health research, medical practice and consequently the whole population is increasingly affected by digitization, data science and AI.

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

Why should you publish your data? ... and how?

Collecting data in sports increased in importance the last few years.

The Data Management Protocol is an elaboration of the Leiden University Data Management Regulations for research that takes place within the Leiden Institute of History. It is intended for researchers who are starting a research project and / or researchers who are going to submit a proposal to external…

Sport Data Center

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.

Our group is part of the Metabolomics and Analytics Centre where we accompany the data from its acquisition all the way to the publication of identified associations and biomarkers for a range of human diseases. The generated data of the metabolic measurements are assessed using an in-house quality…

The Data Science Research Programme aims to advance the state of the art in Data Science research and to accelerate the use of Data Science methods at all faculties of Leiden University.

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…

Latest technological developments in data mining and profiling.

In late medieval and early modern times, books, as well as the people who produced and read (or listened to) them, moved between regions, social circles, and languages with relative ease. Yet, in the multilingual Low Countries, francophone literature was both internationally mobile and firmly rooted…

Data sets available for scientific/research purposes.

This page provides an overview of our data management practices.

On 15 November Joost Visser started as Professor of Large Scale Software and Data Science at the Leiden Institute of Advanced Computer Science (LIACS). He will head the software engineering research at LIACS and becomes head of the ICT in Business and the Public Sector master's program.

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As of 1 July 2019, Bart Custers is appointed as Professor of Law and Data Science at Leiden University. The chair is established at eLaw, the center for Law and Digital Technologies at the Faculty of Law. Bart Custers will focus on the intersection of law and digital technologies, on the one hand on…

Promotor: J.N. Kok, Co-promotor: F.J. Verbeek

Neo-Baroque construction and deconstruction of the concepts of paradise in fiction.

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…

Generally the data from remote sensing surveys - the scanning of the earth by satellite or aircraft in order to obtain information about it - is screened manually in archaeology. However, constant monitoring of the earth's surface causes a huge influx of data of high complexity and high quality. To…

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…

D1.3 describes a set of five case studies relevant in the context of the EuDEco project. Case studies are considered relevant if they are initiatives focusing on the promotion of big data and data reuse or pilots facilitating data reuse in one form or the other. The case studies were expected to allow…

To what extent is it possible to utilise traditional and new media data to examine and understand the nature and scope of homicide in Indonesia?

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.