On April 1, Marco Spruit, Professor of Advanced Data Science in Population Health at the Leiden University Medical Center (LUMC) and the Leiden Institute of Advanced Computer Science (LIACS), will deliver his inaugural lecture ‘Translational Data Science in Population Health’. Spruit will use the opportunity…

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

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).

For his PhD project, computer scientist Manolis Fragkiadakis is developing a tool that can compare videos of sign language corpora. This would make it possible to detect differences between sign languages and prevent translation errors. Ultimately, the tool could be used to compare sign languages from…

Leiden University seeks to bring knowledge, academic top talents, and resources from Leiden and China together in mutually beneficial joint research projects that are content-driven, based on existing excellent research.

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 November 22nd 2017, eLaw - the Center for Law and Digital Technologies at Leiden University, will co-organize a workshop on the ethical, legal and socio-economic implications of big data together with partners of the e-SIDES project.

The Netherlands has a lot of world-class speed skaters and footballers. Clever statistical analyses could help them perform even better. Leiden University is working on this together with Delft and Amsterdam.

Whilst the world is opening up, the teaching will continue in a hybrid form next academic year. During the past year, when all of us were bound to our home offices and computer screens, new forms of education had to be developed – some of which proved to be efficient in preparing the students for their…

Alzheimer’s disease and cancer are two examples of diseases that are related to malfunctioning cellular patterns. The examination of cell tissue, however, takes a lot of time and generates a lot of data. To make the analysis of data easier, Antonios Somarakis of the Data Science Research Programme (DSRP)…

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…

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…

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…

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

How can you tie together scientific research and practical applications? That is exactly what Professor of Translational Data Science Marco Spruit is concerned with, he tells FMT Gezondheid. 'It's about taking socially relevant questions as a starting point for your research.'

Biologists today have to be able to work with big data. Data analysis skills should be taught from the start of the degree programme, or - even better - in secondary school. This is the message of Vera van Noort, new Professor of Computational Biology. Inaugural lecture 22 January.

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…

Lecture

The internet is a good place to rapidly collect large amounts of data. But if you don’t watch out you’ll collect very biased, one-sided data. These were the warning words of the speakers at a symposium on 5 March about transparency and responsible data science.

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,…

The term research software encompasses many different things: source code files, algorithms, scripts, computational workflows and programs that were created during the research process or for a research purpose.

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).

During the annual LACDR Spring Symposium, the audience chose PhD student Rob van Wijk as best speaker. Furthermore, six PhD students won a poster prize. Matthias P. Mayer of Heidelberg University opened the symposium with a keynote lecture about chaperone proteins.

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.

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.

Using positional data to determine which tactics lead to a successful attack? Rens Meerhoff, researcher at the Sports Data Center of the Leiden Institute of Advanced Computer Science (LIACS), has been using data-mining to analyse football tactics for several years. In Friesch Dagblad he explains the…

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