5,372 search results for “data” in the Public website
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Why you should publish negative data
As a bachelor student of Bio-Pharmaceutical Sciences, Femke Vlaswinkel wrote a research proposal she was allowed to carry out in her master’s BPS. Femke subsequently graduated with honors. Her research was published in the journal Scientific Reports, she won an award from the Dutch Pharmacy Society…
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Data in the city: new research projects
The Leiden-Delft-Erasmus Centre for BOLD Cities uses data research to help solve urban issues. Three interdisciplinary research projects will begin soon. Leiden sociologist John Boy explains.
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Data science at the Netherlands Tax and Customs Administration
How can data science improve tax administration? Mark Pijnenburg, a senior data scientist at the Netherlands Tax and Customs Administration, decided to investigate this in a dissertation. He talks about his experiences: 'Sometimes a technique is scientifically interesting, but not applicable in real…
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Fuzzy systems and unsupervised computing: exploration of applications in biology
In this thesis we will explore the use of fuzzy systems theory for applications in bioinformatics.
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Shruti JainFaculty of Science
s.jain@cml.leidenuniv.nl | 071 5272727
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Gabriel Spautz VieiraFaculty of Archaeology
g.spautz.vieira@arch.leidenuniv.nl | 071 5272727
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eLaw researchers publish book on EU data protection law
Researchers from eLaw, the Center for Law and Digital Technologies, published a new book on EU data protection law.
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eLaw students organize lecture by the European Data Protection Supervisor
On Tuesday 11 February, the European Data Protection Supervisor, Mr. Wojciech Wiewiórowski, visited eLaw, - center for Law and Digital Technologies at Leiden Law School to give a lecture on facial recognition systems and data protection in Europe.
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Does collecting sports images and data breach privacy laws?
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.
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Risk bounds for deep learning
In this thesis, deep learning is studied from a statistical perspective. Convergence rates for the worst case risk bounds of neural network estimators are obtained in the classification, density estimation and linear regression model.
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Using health data for scientific research isn’t that simple
While health data is essential for scientific research, that data also needs to be protected. In her doctoral thesis, Irith Kist found a balance between protecting the individual and exchanging health data.
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Dutch ‘big data’ telescope finds exoplanets
Astronomers at Leiden University have discovered the first planets using a new instrument: the planet hunter MASCARA. This instrument, developed at Leiden Observatory, looks specifically for planet transitions around the brightest stars in the sky, which surprisingly enough have so far have hardly been…
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Prevent children becoming victims of a data-driven world
It is becoming increasingly common to collect data from children and young people through digital means. The impact of this so-called ‘dataveillance’ on children, who are monitored from birth via smartphones and Fitbits, is great.
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‘Using real-world data to enhance our healthcare system’
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…
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Handbook of Natural Computing
Natural Computing investigates algorithms and phenonema based on nature to create better and new computer science innovations.
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Julian KarchFaculty of Social and Behavioural Sciences
j.d.karch@fsw.leidenuniv.nl | 071 5273493
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Helena VrabecFaculteit der Rechtsgeleerdheid
h.u.vrabec@law.leidenuniv.nl | 071 5278838
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Tom WilderjansFaculty of Social and Behavioural Sciences
t.f.wilderjans@fsw.leidenuniv.nl | 071 5276058
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Daniel ValeFaculteit der Rechtsgeleerdheid
d.s.vale@law.leidenuniv.nl | 071 5278838
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Simon van LierdeFaculty of Science
s.n.van.lierde@cml.leidenuniv.nl | 071 5272727
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Barend MonsFaculty of Medicine
b.mons@lumc.nl |
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Empirical Bayes applications in biomedical high-dimensional prediction
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.
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‘Data science has crept into the faculties’ DNA’
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…
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Niki van SteinFaculty of Science
n.van.stein@liacs.leidenuniv.nl | 071 5272727
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A Global Lethal Force Monitor: Comparative Opportunities and Challenges
Comparison across jurisdictions is one way of assessing the appropriateness of lethal force resulting from the actions of law enforcement agencies. This article sets out a vision for a global use of force monitor that can enable meaningful comparisons between law enforcement agencies. It examines some…
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Governments working with one hand tied when it comes to data on vulnerable groups
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…
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Master's students Data Science present solutions to central government and the House of Representatives
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…
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Helena Ursic presented at the Big Data conference in Ljubljana, Slovenia
On May 22 eLaw's researcher Helena Ursic spoke at the international conference
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Statistical Science
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.
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Jenneke EversFaculteit der Rechtsgeleerdheid
g.h.evers@law.leidenuniv.nl | 071 5278838
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Data analysis is really helping the Dutch national women’s football team
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…
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Guest lecture by Wojciech Wiewiórowski, European Data Protection Supervisor
On Thursday 29 February, the European Data Protection Supervisor, Wojciech Wiewiórowski, visited the eLaw Center for Law and Digital Technologies at Leiden Law School to give a lecture entitled 'Fundamental rights and/or market surveillance: The current and future role of Data Protection Authorities…
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Bridging the gap between databases and data science
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…
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Using data science to promote a healthy life style
Movement behaviours, such as physical activity, sleep, and the amount of time we sit each day, impact our health. Recently, more researchers are looking at the influence of these behaviours combined, but this is a challenging task. For example, it is difficult to monitor in what way movement behaviours…
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Prince Constantijn: research on big data urgently needed
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.
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Wessel Kraaij director of Data Science Research Programme
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.
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INFORM Day on EU Data Protection Law in Leiden
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.
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LIACS receives NWO grant in Challenging Big Data program
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…
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Helena Vrabec’s new book on Data subject rights
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.
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Data for Policy 2025: digital and green transitions
The 2025 Data for Policy conference at Leiden University explored how digital and green transitions can shape a more sustainable and inclusive future.
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Integrating Analytics with Relational Databases
The database research community has made tremendous strides in developing powerful database engines that allow for efficient analytical query processing.
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Bart Custers advises Dutch Parliament on public transport data
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…
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'Data science enables us to develop new tools'
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…
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Bart Custers on CBC Radio on selling your own data
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…
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Collaborating on big data to unravel disease processes
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.
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Alan SearsFaculteit der Rechtsgeleerdheid
a.m.sears@law.leidenuniv.nl | 071 5278154
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Youth mental health meets big data analytics: Hype or Hope?
Depression and anxiety disorders among youth are causing major problems worldwide. The mechanisms involved are still unknown, however. Moji Aghajani – Assistant Professor at the Institute of Education and Child Studies - aims to provide new insights with his research
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Satellite data and algorithms reveal which ships emit excessive nitrogen
Ships are still emitting too much nitrogen oxide. Till now it has been impossible to measure this at sea, but that is set to change. Solomiia Kurchaba combined satellite data and developed algorithms to identify which ships are emitting too much. Kurchaba received her PhD on 11 June.
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Algorithms and data behind Leiden Ranking in public domain
The Leiden Ranking – Open Edition is completely transparent. The ranking compiled by the CWTS uses open data and publishes the algorithms that are used.
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FAIR Surveys Project
This project aims to contribute to the improvement of documentation and archiving standards (conform the FAIR principles) for systematic Mediterranean archaeological field survey.