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

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…

Making sensitive data reusable through synthetic data generation

Leiden University offers support in the different stages of your research lifecycle.

In the Research in Bio-Pharmaceutical Sciences specialisation you will perform research on various topics in the area of Drug Discovery and Development. The programme offers a high level of flexibility and can be tailored to your scientific interests. The major research project is hosted by the Leiden…

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

Wessel Kraaij has been appointed Professor of Applied Data Analytics with effect from 1 March 2016. Kraaij will use new methods to analyse big data sets. He intends to use data from various data-intensive research fields to test these methods in practice.

The Astronomy and Data Science specialisation consists of 120 European Credit Transfer System (EC) points and includes mandatory courses in Computer Sciences, a selection of electives in Astronomy and two research projects.

This dissertation describes several studies concerning the research-teaching nexus in the sciences.

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.

Principles of Environmental Sciences provides a comprehensive picture of the principles, concepts and methods that are applicable to problems originating from the interaction between the living and non-living environment and mankind. Both the analysis of such problems and the way solutions to environmental…

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.

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.

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…

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.

Computer scientist Matthijs van Leeuwen is one of four science faculty members who obtained the Senior Qualification in Education in 2021. What was that like and what drives him? ‘In my own education I would have liked to see more attention paid to the responsibility that machine learning and data mining…

The CS-NL network is a vibrant and active community of Citizen Science practitioners, initiators, researchers and participants from across all corners of society (Academia, Industry, Government, Civil Society, and Citizens) who come together to share knowledge and know-how for participatory research…

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.

The Colonial and Global History Research Programme of the Leiden University Institute for History combines a deep curiosity of transcultural processes such as imperialism, (de)colonization, and globalization with critical historical research on regional societies in Africa, Asia, and the Americas.

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.

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…

Is it possible to formulate a new conceptual foundation for attributing an evaluative role to historiography of science, without relinquishing the historiographic sensitivity of recent work in the discipline?

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

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…

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

Promotor: J.N. Kok, Co-promotor: F.J. Verbeek

Generally the data from remote sensing surveys - the scanning of the earth by satellite or aircraft in order to obtain information about it - is screened manually in archaeology. However, constant monitoring of the earth's surface causes a huge influx of data of high complexity and high quality. To…

The overall objective of ECS is to widen and strengthen the European Citizen Science community through capacity building and awareness raising activities such as the creation of a European Citizen Science Academy and the establishment of a network of 28 ECS Ambassadors.

Our courses are aimed at higher educated professionals, starters, experienced professionals and managers. You can choose from day-long Masterclasses, multi-day courses and an intensive one-year program. Our offer exists off on the themes below.

What tools can be applied to measure the output, outcome and impact of science communication efficiently and effectively?

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.

Nowadays data-driven working is very important within Rijkswaterstaat. A Variety of employees is involved in analyzing the data collected on daily basis by Rijkswaterstaat. The goal is to ensure that we construct an infrastructure in the Netherlands which will be safe, accessible and liveable in the…

This project’s aim is to critically assess current homicide data sources in order to develop a proposal for long-term EU-level monitoring of DRH.

The LLP equips you with the knowledge, insights and skills you need to make a professional and societal impact.

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

ICEHL will take place in Leiden on 7-11 June, 2021.

Within the two-year Astronomy master’s programme, you can choose from seven specialisations, ranging from fundamental or applied astronomy research in cosmology, instrumentation or data science, to combinations of astronomy research with education, management or science communication.