On 16 May 2022, Professor Michel Wouters from the Department of Biomedical Data Sciences at the Leiden University Medical Centre (LUMC), will deliver his inaugural lecture titled ‘Quality of Cancer Care: why the real world matters’. Wouters will use the opportunity to describe how quality registries…

Natural Computing investigates algorithms and phenonema based on nature to create better and new computer science innovations.

From 14 to 29 PhD candidates, seven actively involved faculties and, above all, lots of innovative interdisciplinary research, all with data science as the common denominator. The university’s Data Science Research Programme (DSO) has proven so successful that after five years on a start-up grant it…

The thesis introduces three methods for high-dimensional prediction problems in the biomedical field. The methods make use of empirical and variational Bayes in the estimation.

A new discussion paper published in Policy Sciences by two Leiden researchers claims that governments are working with one hand tied when it comes to data on vulnerable groups. At the core of this paper is the idea that even though the volume of data has increased in recent years, the quality of the…

On May 22 eLaw's researcher Helena Ursic spoke at the international conference

On 1 November 2019, international Master's students Data Science from Leiden University presented the elaboration of their data concepts to senior officials of the House of Representatives and Rijks I-Ecosysteem. With the presentation, they successfully completed this part of the Data Science master…

The research programme Statistical Science is concerned with the analysis and interpretation of masses of data, the quantification of uncertainty using probability models, and the development and benchmarking of algorithms and methods with these aims.

The European Football Championship for Women, in the Netherlands this summer, is the background for a large and innovative data research project. The Dutch football union is working together with Leiden University and Sportinnovator. The research is expected to uncover links that have thus far remained…

In relational databases you can store information and data without losing the relationships between those data. They are therefore useful tools for computer scientists. There is, however, a gap between the relational database research community and data scientists. This leads to inefficient use of databases…

On Friday November 2nd 2018, eLaw, the Center for Law and Digital Technologies at Leiden University, successfully hosted a one-day conference on the new EU Data Protection Law that came into force earlier this year.

Policy makers urgently need scientists’ help with the phenomenon of big data. This was the view expressed by Prince Constantijn, speaking at the opening of the Leiden Centre of Data Science, the virtual centre for research on big data at Leiden University.

On September 10th 2019 Bart Custers, professor of Law & Data Science at eLaw, was invited by the Committee for Infrastructure and Water Management of the Dutch parliament. In a round table discussion, this committee of the House of Representatives wanted to discuss the access to public transport data…

In a new book forthcoming with Oxford University Press, Dr Helena U Vrabec, guest researcher at eLaw and privacy lawyer at Palantir Technologies, explores the area of control rights under the GDPR.

The Leiden Institute of Advanced Computer Science (LIACS) received a grant award from NWO for a joint proposal with Centrum Wiskunde & Informatica (CWI, Amsterdam), Tata Steel (IJmuiden), BMW (Munich), and database company MonetDB. Within the NWO Data Science program ‘challenging big data‘, LIACS is…

Prof.dr.ir. Wessel Kraaij is appointed director of the Data Science Research Programme (DSRP) at Leiden University, starting March 1st. He is the successor of prof.dr. Joost Kok, who recently exchanged Leiden for the position of dean in Twente.

Companies like Facebook and Google make billions of dollars by selling or using our personal data. The data could be used by many different entities for many different reasons: from universities for research, to brands for creating targeted ads. But rather than just giving their data away to these companies…

On March 5, CWTS and the Leiden University Data Science Research Programme will organize the symposium ‘Fairness and Transparency, towards responsible data science’.

The database research community has made tremendous strides in developing powerful database engines that allow for efficient analytical query processing.

PhD students Alex Brandsen and Wouter Verschoof-van der Vaart are both doing a project within the university’s Data Science research programme. The are introducing terms like ‘text mining’ and ‘advanced machine learning’ into archaeology. ‘These techniques will make archaeology more efficient and ch…

This project aims to contribute to the improvement of documentation and archiving standards (conform the FAIR principles) for systematic Mediterranean archaeological field survey.

Saturday 13 February 2016 the daily newspaper Volkskrant published an article based on interviews with Professor Ronald Cramer and Harry Buhrman.

Dr. Van Eijk will teach an advertising technology Masterclass for the Future of Privacy Forum (FPF) next week. It is the fourth session of the FPF & Brussels Privacy Hub's Digital Data Flows series. Van Eijk will be teaching alongside Adam Towvim (Brandeis International Business School) and moderated…

Fifty thousand euros in expert knowledge and the title Young eScientist 2019: the National eScience Symposium on 21 November was very successful for computer scientist Lise Stork. She will use the knowledge to develop an application to make historical biodiversity data directly available to research…

On Wednesday, 5 September 2018, the second group of employees of the Ministry of Infrastructure and Water Management (IenW) started the managerial track of the Data Science course given by Leiden University (LCDS).

Patients with the same illness often receive the same treatment, even if the cause of the illness is different for each person. This represents a new step towards ultimately being able to offer every patient more personalised treatment.

This paper written by Vydra and Kantorowicz answers the research question ‘What policy-relevant information does Twitter contain?’ as well as the research question ‘How does this information change between a period of normalcy and a period of crisis?’

The Research Network of the European Union Fundamental Rights Agency (FRANET) commissioned Aleydis Nissen and Rik Raedschelders to write the 2022 report on Racism, Xenophobia and Related Intolerance in Belgium.

Only the fittest cyclists stand a chance of taking yellow in the brutal Tour de France. Team Jumbo-Visma is working with data scientists from Leiden. They have analysed the stages and performance of Jumbo-Visma’s riders in previous Grand Tours. And they are researching how to determine the fitness level…

A study has been initiated at the instigation of WODC (Scientific Research and Documentation Centre) on the judicial monitoring of big data applications by government. The study is being conducted by TILT (Tilburg Institute for Law, Technology, and Society).

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

The universities of Delft, Leiden and Rotterdam are working together to show their students what artificial intelligence (AI) means for their own field. Three AI minors will start in the 2022 – 2023 academic year and will answer questions such as: ‘How best can you use AI in your research discipline?’…

On March 20, 2019, a special meeting took place in the House of Representatives: a hackathon. The aim was to find solutions for better accessibility of the large amounts of information that are produced in the House of Representatives on a daily basis.

Proud. We did it. All the Ginis. Open Access. Income inequality and Fiscal Redistribution in 47 countries 1967-2014.

What is the best living environment for dementia patients? To answer this question, Daniela Gawehns is using data mining methods to search through different types of data source. Her research is inadvertently building a bridge between two disciplines that are sometimes somewhat wary of each other.