Als gevolg van de grote technologische vooruitgang in de gezondheidszorg worden in toenemende mate gegevens verzameld tijdens de uitvoering van klinische onderzoeken.

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…

Governments have increasing amounts of data at their disposal. How can big data be used in policymaking? And are governments ready to deal with all this data? That is what Sarah Giest, Assistant Professor at the Institute of Public Administration, is interested in.

By analysing the metabolism using big data techniques, we can identify health risks at an earlier stage. Thomas Hankemeier, professor of Analytical Biosciences at the Leiden Academic Centre for Drug Research, explains how that works.

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

Today, CBS launches the Center for Big Data Statistics (CBDS), a cooperation of an unprecedented scale in the field of Big Data. Leiden University and HumanityX are key partners.

On November 22nd 2017 eLaw co-organized with partners of the e-SIDES project a workshop on the ethical, legal and socio-economic implications of big data.

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.

On October 23rd, dr. Bart Custers, associate professor and head of research of eLaw, the Center for Law and Digital Technologies at Leiden Universitty, delivers a keynote address on the big data and law at the International Conference on Big Data Research (ICBDR 2017) in Osaka, Japan

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

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).

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

Researchers of the Leiden Institute of Advanced Computer Science (LIACS) have started a 4 year project on developing a system that sends out automatic alerts when components from engines are showing first signs of fatigue.

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…

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

D2.2 comprises the in-depth legal analysis of the initial heuristic model, focused on addressing, in more detail, the main legal concerns for data reusers in the European data economy. This detailed analysis of the legal propositions presented in D2.1 is supplemented by an analysis of the technological,…

e-SIDES (ethical and societal impact of data sciences) is a Coordination & Support Action (CSA) part of the Horizon 2020 programme.

eLaw colleagues Bart Custers and Helena Ursic have a new publication in the peer-reviewed journal The European Data Protection Law Review.

EuDEco (Modelling the European Data Economy) is a Coordination & Support Action (CSA) receiving funding from the European Union’s Horizon 2020 programme.

D1.2 reports on the findings of an analysis of framework conditions relevant in the context of the data economy from a legal, a socio-economic and a technological perspective. The analysis is a key foundation for the creation of an initial, heuristic model of the European data economy. The deliverable…

How to strike a balance between the sometimes conflicting stakes of individual, public and private data-producers and data-processors?

On January 5th 2018, dr. Bart Custers, associate professor and head of research of eLaw, the Center for Law and Digital Technologies at Leiden University, will give a conference lecture on the (monetary) value of personal data at the International Conference on Big Data and Smart Computing (ICBDSC 2018)…

This thesis focuses on data found in the field of computational drug discovery. New insight can be obtained by applying machine learning in various ways and in a variety of domains. Two studies delved into the application of proteochemometrics (PCM), a machine learning technique that can be used to…

Governments are increasingly facilitating the roll-out of so-called “smart meters”, a technology for measuring energy consumption that are able to transmit and receive data using a form of electronic communication. However, implementation has been slow or even stalled.

Language evolution, targeted drugs or archaeological interpretation. Researchers are making increasing use of supercomputers that can rapidly process large quantities of data. This is one reason why the University data centre will be extended and updated. ‘Datamining means we can get a better picture…

e-Sides is a Horizon 2020 project which aims at mapping ethical, legal, societal and economic challenges of the big data technologies. eLaw- Center for Law and Digital Technologies- is one of the members of the e-SIDES research consortium and its role within the project is to develop the systematic…

On 22 December 2018, Dr. Bart Custers, Associate Professor and Head of Research at eLaw, Center for Law and Digital technologies, presented research results of the e-SIDES project at the Artificial Intelligence and Cloud Computing Conference (AICCC 2018) in Tokyo, Japan. His presentation dealt with…

On May 16th 2018, the Law Faculty of Basel University organised a workshop on Law & Robots, titled Predictive Analytics bei Versicherungen und in der Arbeitswelt: Diskriminierung durch Algorithmen? (Predictive Analytics in Insurance and Labor: Discrimination by Algorithms?). At this event, dr. Bart…

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.