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…

This monograph focuses on clustering of objects in high-dimensional data, given the restriction that the objects do not cluster on all the attributes, not even on a single subset of attributes, but often on different subsets of attributes in the data.

Sport Data Center

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…

Dutch speedskaters have been winning the most medals in speed skating at the Winter Olympics for years. How? Based on their intuition. Scientist Jeroen van der Eb of the Data Mining & Sports group of the Leiden Institute of Advanced Computer Science (LIACS) wants speedskaters to adjust their irons based…

With the rise of information and communication technologies, large amounts of data are being generated and stored in databases. In order to get a better grip on these large amounts of data, serious efforts are being made to discover patterns and relations in the data with the help of new techniques.…

Quantifying physical activity (using accelerometers) and combining the frequency and intensity of activities with health data (brain MRI, traditional clinical parameters and metabolomics) is of utmost importance to monitor mobility and health among older individuals and study health promotion during…

This project is a collaboration between Sanquin, LUMC and LIACS. It focuses on the development of meta-modelling methods and tools for the exchange, analysis, and publication of anonymised patient data. Measures are being constructed to evaluate both the level of privacy and the extent to which an anonymized…

Tremendous amounts of data are generated in scientific research each day. Most of this data has more potential than we are using now, says Katy Wolstencroft, assistant professor in bioinformatics and computer science. We just need to integrate and manage it better.

The emergence of complex diseases resulting from abnormal cell-cell signaling and the spread of infectious diseases caused by pathogens are significant threats to humanity. Unraveling the dynamic mechanisms underlying cell-cell signaling and infectious disease spreading is crucial for effective disease…

The research of this PhD project can be subdivided into two main disease areas: migraine and stroke. For both we will be investigating how artificial intelligence (AI) and machine learning (ML) techniques can be used to study these afflictions, their (early) detection, and their potential treatment.

PhD defence

Comparing individual health data with group data allows doctors to give personalised advice and patients to learn from one another's experiences. Wessel Kraaij, Professor of Applied Data Analytics, shows how personal data can have a valuable predictive function. Inaugural lecture 24 February.

Promotor: Prof.dr. A. Achucarro

To conclude, this thesis provides valuable methodological insights to address data gaps and improve environmental impact assessments within the circular economy, with a particular focus on product reuse and sharing practices. Through empirical analysis and innovative approaches, it aims to support informed…

M. Danhof, Co-promotor: O.E. Della Pasqua

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.

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.

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.

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.

On 20 February 2019, a special meeting on data science took place in the House of Representatives. The aim of the meeting was to start a dialogue with government organisations about data developments within the government.

Athletes always strive for the top. How can data scientists assist them in improving their performance? During the seminar Data Science and Sports, the possibilities and challenges of collaboration between these two worlds were discussed.

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.

Leiden University is investing 4 million euros in a new Data Science research programme. This is a joint initiative of all the faculties, headed by Dean Geert de Snoo at the Faculty of Science. The programme will focus on Leiden scientific data.

Leiden bachelor students analyse data EC soccer Students are now familiar with something sports journalists already knew: summer holidays can be a time of hard labour. Everybody else is lying on the beach, but for you, it is the busiest time of the year. Leiden bachelor students collected the data…

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.

Data play an important role in any organization. More and more data are available about products, about production processes and about customers. At the annual LIACS Business Event on Wednesday 18 January, the central message was how to find irregularities in Big Data, and how it can help you to track…

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).

Data science and statistics are closely linked, says Spinoza laureate and Stochastics professor Aad van der Vaart. We talk with him about the big data hype, genome research and collaboration with other disciplines. ‘Statistics helps wherever data is not perfect.’

We produce more data than ever before, and researchers gather more and more information. That data contains a wealth of insights and new possibilities. But how do you extract them? In Leiden, statistics and information science come together in innovative multidisciplinary research. Read more in the…

On 27 February, 2019, Kampala International University (KIU) was the venue of the conference ‘Digital Health and Development in Data Science in Uganda’. Professor Mirjam van Reisen from the Leiden Centre of Data Science was one of the main speakers.

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.

Mirjam van Reisen favours big data built up from local inputs in developing countries and suitable for local use. The new Professor of Computing for Society at Leiden's Faculty of Science connects data science with development sociology. Inaugural lecture 10 March.

The Dutch Data Protection Authority (DPA) has announced that 27,000 data leaks were reported in 2019, a huge increase compared to previous years. Bart Custers, Professor of Law & Data Science at eLaw ¬- Center for Law and Digital Technologies, claims in Dutch newspaper Trouw (22 February 2020) that…

Jurist Gineke Wiggers wants to predict the expected impact of legal articles. Carel Stolker, Rector of the University and, like Wiggers, a legal specialist, is enthusiastic about the research. ‘A big data project like this will help us establish the effect of our work on society.’

This inaugural lecture discusses the question: How to cooperate in the digital era?

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

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.

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

The World Data Visualization Prize for 2019 was awarded to Dimiter Toshkov, Associate Professor at the Institute of Public Administration, for his work on the theme of small states and good governance. The prize is a good way to raise awareness about the value of good data visualization.

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…

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…