Data science offers great opportunities for legal research, according to Simone van der Hof and Bart Custers (eLaw). But at the same time, we have to keep an eye on the unwanted side effects of big data - such as ethnic profiling.

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.

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…

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…

How can data analytics be used as a research method in the field of legal research? This question was addressed during the Research Lab Legal Data Science on 23 September, 2016.

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.

The manual analysis of remotely-sensed data is a widespread practice in local and regional scale archaeological research, as well as heritage management.

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.

Assistant Professor Vedran Dunjko and his team received a gift from Google to support their quantum research. The research focuses on whether quantum computers can provide new ways of understanding the mysteries of high-energy physics.

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.

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.

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

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

The Centre for Digital Humanities is pleased to announce that we are searching for two PhD Candidates who will carry out research within the Centre for Digital Humanities and the Leiden Centre of Data Science.

The Vallesian, 11.1-9 Ma, was a special time in the Vallès-Penedes basin near Barcelona, where a biodiversity hotspot existed. Europe had a subtropical climate, with rhinos, forest giraffes, lions, hyenas, flying squirrels and primates.

New digital methods and a data explosion are radically changing archaeological research. Karsten Lambers, Associate Professor of Archaeological Computer Science, tells us all about it.

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.

At the Hague University of Applied Sciences, a stakeholder meeting took place on 4 April in the context of peace and justice in a digital world. The meeting was an initiative of Leiden University (LCDS, eLaw) and the Hague University of Applied Sciences, to explore joint curriculum development in the…

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…

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,…

Data science is of vital importance in preventing future outbreaks of viruses, Professor of Data Science Aske Plaat argues. Inaugural lecture entitled ‘Data Science and Ebola’ on 13 April.

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

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).

LIACS is a partner in RISE_SMA, an interdisciplinary, international network combining excellent scholars and practitioners to enable vigorous knowledge sharing and to develop solutions for contemporary challenges for Social Media Analytics (SMA).

On January 31, 2018 the Data Economy Conference will take place in Budapest. The conference is organized by IVSZ within the EuDEco project. It’s going to be an interesting event with many knowledgeable speakers.

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 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.

OSCL members, amongst which our representative in the Archaeology faculty, were part of Data Carpentry for Social Sciences. Here's what happened.