As a PhD candidate, you probably work with personal data. That’s not just names and telephone numbers – it can also include things like cookies. To keep (personal) data as secure as possible, the university has established an information security policy.

As a PhD candidate, you probably work with personal data. That’s not just names and telephone numbers – it can also include things like cookies. To keep (personal) data as secure as possible, the university has established an information security policy.

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…

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.…

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

ChEMBL is a large-scale drug discovery database containing bioactivity information primarily extracted from scientific literature.

Researchers from eLaw, the Center for Law and Digital Technologies, published a new book on EU data protection law.

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.

In 2016 the General Data Protection Regulation (GDPR) entered into force. The GDPR aims to give control to individuals over their personal data and to simplify the regulatory environment for international businesses by unifying regulation within the EU. PhD candidate Helena Ursic-Vrabec examined the…

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.

On 15 February 2018, Simone van der Hof gave a keynote lecture entitled 'Data Protection and Children's Rights - the reasoning behind the protective provisions for children in the GDPR' at the International School of Amsterdam conference on Strategic marketing & communications for international scho…

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

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.

In this research project, the protection of personal data is compared in eight EU member states: France, Germany, the UK, Ireland, Romania, Italy, Sweden and the Netherlands. The comparison of the countries is focused on government policies for the protection of personal data, the applicable laws and…

What issues arise in the changing landscape of privacy, identity and data protection?

Taner Kuru, an eLaw alumnus, was awarded the prestigious European Data Protection Law Review ‘Young Scholar Award’ for his paper on the shortcomings in the GDPR for the regulation of genetic testing at the prestigious Computers, Privacy and Data Protection Conference (CPDP).

On 10 September the students of the European Law Master gathered in the Lorentzzaal for the festive opening of their programme.

Sarah Giest and Annemarie Samuels, both Assistant Professors at Leiden University, researched the quality and coverage of the data being collected for policiymakers to be used, specifically pertaining to minority groups.

The General Data Protection Regulation (GDPR) came into force in 2018. It was intended to protect the rights and freedoms of individual citizens from the risks of personal data processing. Meanwhile, the phenomenon known as big data has continued to advance at a fast pace. PhD defence on 12 Septembe…

On 1 October 2019, Emile Cammeraat defended his thesis 'Economic Effects of Social Protection'. The doctoral research was supervised by Prof. K.P. Goudswaard and Prof. P.W.C. Koning.

Amy Strecker assesses the institutional framework for landscape protection, analyses the interplay between landscape and human rights, and links the etymology and theory of landscape with its articulation in law.

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.

In the Netherlands it is now possible to visit non-essential shops if you make an appointment beforehand. But when you book an appointment you have to provide a lot of personal data. Are shops allowed to ask you for all this data and what happens to it?

Lecture

By comparing individual health data with population data, doctors can provide personalized health advice and patients can learn from each other's experiences. Wessel Kraaij, professor of Applied Data Analytics shows how personal data can have predictive value.

Conference

Data Sets Department of Economics

Data reuse and big data: a taxonomy for personal data reuse.

Modern computer-aided simulation tools used by various industries produce gigabytes of data. But currently, they take days and even up to weeks of computation effort. To make the best use of all these data, the DAMIOSO project focuses on developing algorithms and tools for managing, mining, and optimizing…

Affective Computing (AC and sometimes called ‘Emotional AI’) provides opportunities to automatically process emotional data. However, is EU data protection law fit for purpose when it is applied to such AC approaches?

The extensive use of electronic communication channels and other devices has opened new possibilities for collecting data on human behavior. This information is sometimes openly accessible, but largely part of administrative registration systems that are not open to the broader public. The data provides…

The SAPPAO project aims to optimise the accuracy and reliability of predicting scheduled flight times. The full name of the project is 'A Systems Approach towards Data Mining and Prediction in Airlines Operations'.

The change from a closed institution to an open living environment for patients with late stages of dementia will give the patients more freedom in their day-to-day life. The effect of this change on the patients’ mobility, activity and interaction with others will be assessed with sensor technology…

The Digital Archaeology chairgroup is currently still involved in a project related to EDNA project (national data archive for archaeology). Although this time the focus on innovative research in Computer applications is much stronger. All the archaeological projects in the e-archive are documented…

The Data-Driven Drug Discovery Network (D4N) is an initiative by researchers from Leiden University and collaborators to join efforts in applying and developing novel techniques from data science to drug discovery and related topics from bioinformatics. The network is embedded in the Leiden Centre of…

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.

LACDR adheres to strict data management rules, with the aim to make our data findable, accessible, interoperable and re-usable. For this reason all LACDR PhD candidates are required to prepare a data management plan and to implement data management rules accordingly. All PhD candidates follow a data…

The majority of scientists, from archaeologists through to zoologists, collect enormous volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics and computer science, we can develop algorithms for analyzing…

The majority of scientists, from archaeologists through to zoologists, collect huge volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics, we can develop algorithms for analysing and identifying patterns…

Today, everybody and everything produces data. People produce large amounts of data in social networks and in commercial transactions. Medical, corporate, and government databases continue to grow. Sensors continue to get cheaper and are increasingly connected, creating an Internet of Things, and generating…

Promotor: J.N. Kok, Co-Promotor: A.J. Knobbe