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.

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.

The authors systematically search and review relevant definitions of Security by Design (SbD) in comparison with Privacy by Design (PbD).

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?’

VODAN Africa started as a platform to enable access to critical data needed from Africa to fight the novel COVID-19. The initiative was inspired by the experience from the Liberia Ebola Virus outbreak in 2014: early detection requires contact tracing. Inclusion of the most vulnerable is critical to…

Developing robust algorithms and theory for establishing cause-effect relationships from observational data that scale up to large data sets

The Swahili coast has a long-standing history of transoceanic Islamic connections dating back to the 25th century. Yet, print, has changed the world – not only ours. This project unravels unique forms and archives of intellectual history emerging from within South-South connections. In East Africa Indian…

Data science offers exciting new instruments for governments to reach out to citizens, for example by using data-driven information channels, providing real-time simulations, or personalizing services based on citizen data. At the same time, the possibilities and use of data science methods can have…

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).

Machine Learning is becoming a more and more substantial technology for industry.

The aim of this project is to develop accurate but interpretable ensemble learning methods for high-dimensional multi-domain data.

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. B.R. Katzy, Co-promotor: R. Ortt

The deeper understanding of an organism's pathology is important for developing treatments. Over centuries of systematic research, clinical researchers have demonstrated that the more information they acquire about the cellular properties and their organisation in the tissue, the better they can understand…

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…

This study seeks to partially fill the knowledge gap about national culture in Africa, basing its research on data on ethnolinguistic groups (instead of administrative regions).

Promotor: A.P.IJzerman Co-promotor: A. Bender

This project aims to develop advanced data analysis methods for monitoring and increasing our understanding on biodiversity dynamics in nature reserves such as the Oostvaardersplassen.

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.

Making sensitive data reusable through synthetic data generation

Latest technological developments in data mining and profiling.

The RISIS project aims at creating a distributed research infrastructure to support and advance science and innovation studies. This will give the field a strong scientific push forward, and at the same time, provide a radically improved evidence base for research and innovation policies, for research…

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

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.

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

What workflow of non-destructive techniques provides accurate, valuable data to improve our understanding of Caribbean archaeological landscapes? How were Amerindian settlements configured?

Time-series forecasting through modelling sequences of temporally dependent observations has many industrial and scientific applications. While machine learning models have been widely used to create time-series forecasting models, creating efficient and performant time-series forecasting models is…

This research cluster centres on regional, national, and global intersections and interactions between a variety of artistic expressions and society. It focuses not only on objects (artistic, literary, cinematic, and medial), but also on practices (aesthetic, political, and cultural).

The Dutch Center for Travel Writing Studies s a scientific center that develops and coordinates initiatives to promote research into travel writing. It actively seeks contact with external (scientific and social) partners to collaborate on issues surrounding cultural / national identity, cultural contact…

This article provides an in‐depth assessment of lone actor terrorists’ attack planning and preparation.

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Lecture

Parkinson's disease is the second most common neurodegenerative disease in the world. One of its symptoms is the loss of dopaminergic neurons in the substantia nigra pars compacta.

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.

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.…