Tech company Eyeball collects images and data on young amateur football players on a large scale. But is this allowed? Bart Custers, Professor of Law and Data Science, and Gerrit-Jan Zwenne, Professor of Law and Digital Technologies, comment on the issue in ‘NRC’ newspaper.

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…

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

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

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

Athletes always strive for the top. How can data scientists assist them in improving their performance? During the seminar Data Science and Sports, the possibilities and challenges of collaboration between these two worlds were discussed.

The two-year Data Science: Computer Science programme consists of 120 European Credit Transfer System (EC) points and includes courses and electives as well as a Master's Thesis Research Project.

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…

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

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

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…

The Astronomy and Data Science master’s programme offers a coherent combination of relevant courses from the Astronomy and Computer Science curricula and two hands-on research projects.

The combination of data science and sports is a hot topic. In a talk during the opening of the Academic Year at the Faculty of Science, Professor Joost Kok explained what data analytics can teach us about sports.

Seminar 12th of April

Jurist Gineke Wiggers wants to predict the expected impact of legal articles. Carel Stolker, Rector of the University and, like Wiggers, a legal specialist, is enthusiastic about the research. ‘A big data project like this will help us establish the effect of our work on society.’

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.

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.

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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 27 February, 2019, Kampala International University (KIU) was the venue of the conference ‘Digital Health and Development in Data Science in Uganda’. Professor Mirjam van Reisen from the Leiden Centre of Data Science was one of the main speakers.

Creating information portals for support of European environmental policy.

‘Tell me something I don’t know,’ said skating coach Jac Orie to Leiden data scientist Arno Knobbe. And he did. Knobbe and his colleagues now assist athletes in all kinds of ways with the help of data mining.

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.…

How can we make the information in handwritten historical research reports accessible and searchable? Data scientists at Leiden University are working with other universities on a method that will improve access to cultural heritage.

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.

On 20 February 2019, a special meeting on data science took place in the House of Representatives. The aim of the meeting was to start a dialogue with government organisations about data developments within the government.

This thesis investigates how the assessment of circular economy (CE) at the macro-economic level can be facilitated and promoted⁠.

Data Science seminar at the Faculty of Governance and Global Affairs

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

On Monday, June 24th, 24 employees of the Ministry of Infrastructure and Water Management (IenW) received their certificates for completing Data Science courses, offered by the Leiden Centre of Data Science.

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.

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.

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.

Winning gold in speed skating at the Olympic Games is not just a matter of training hard; data science can also lend a hand. Jeroen van der Eb of the Leiden Institute of Advanced Computer Science (LIACS) developed the measuring skate for this purpose, with which he recently won the Nationale Sportinnovator…

On December 4th an agreement was signed between the Leiden Institute of Advanced Computer Science (LIACS) and the Netherlands Forensic Institute (NFI). Cor Veenman (NFI) will perform research in the field of Forensic Big Data Science at LIACS.

Tools and Data of the department of Environmental Biology

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…

Promotor: P.D. Grünwald

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