To deliver a Virtual Sensor tool optimised to exploit the synergy between Sentinels 2 and 3 to allow the consistent retrieval of land surface parameters (Albedo, LAI, and LST); To extend the existing capabilities of land EO data assimilation tools to add capacity to handle data in the thermal domain…

Prof.dr.ir. Hai-Xiang Lin is appointed on 1 March 2015 as part-time professor on Data Analytics for Environmental Modelling at CML on behalf of the R. Timman foundation. He will join the CML-department of Industrial Ecology. He has a position at the Department of Applied Mathematics at the Faculty…

What are the behaviours of plant traits throughout various points in the growing season in a radiative transfer model framework and how well can this knowledge be integrated through data assimilation to provide priors for robust local and global vegetation products and analysis?

In the week of July 1st - 5th there will be a summer school on "Data science for dynamical systems" at the Lorentz Center in Leiden.

Aim: To develop and enable application of a practical, flexible, user-friendly platform to provide the scientific community with a tool to generate land surface products and its associated uncertainties and exploit these for data-intensive science.

By comparing individual health data with population data, doctors can provide personalized health advice and patients can learn from each other's experiences. Wessel Kraaij, professor of Applied Data Analytics shows how personal data can have predictive value.

The extensive use of electronic communication channels and other devices has opened new possibilities for collecting data on human behavior. This information is sometimes openly accessible, but largely part of administrative registration systems that are not open to the broader public. The data provides…

Data reuse and big data: a taxonomy for personal data reuse.

Sarah Giest and Annemarie Samuels, both Assistant Professors at Leiden University, researched the quality and coverage of the data being collected for policiymakers to be used, specifically pertaining to minority groups.

Modern computer-aided simulation tools used by various industries produce gigabytes of data. But currently, they take days and even up to weeks of computation effort. To make the best use of all these data, the DAMIOSO project focuses on developing algorithms and tools for managing, mining, and optimizing…

Promotor: J.N. Kok, Co-promotor: W.A. Kosters

Netherlands Statistics (CBS), Leiden University and the University of Amsterdam have started a collaboration in the form of a research project titled 'Enriching official economic statistics using data-driven modelling techniques'.

Today, everybody and everything produces data. People produce large amounts of data in social networks and in commercial transactions. Medical, corporate, and government databases continue to grow. Sensors continue to get cheaper and are increasingly connected, creating an Internet of Things, and generating…

How can teachers be motivated by their students’ data in making stepwise changes to their teaching practices?

Read-Urban was a first project to investigate whether policy recommendations can be made with the aid of linked data collections and data science and to gain experience with the success factors for such a process.

Promotor: J.N. Kok, Co-Promotor: A.J. Knobbe

The SAPPAO project aims to optimise the accuracy and reliability of predicting scheduled flight times. The full name of the project is 'A Systems Approach towards Data Mining and Prediction in Airlines Operations'.

The Digital Archaeology chairgroup is currently still involved in a project related to EDNA project (national data archive for archaeology). Although this time the focus on innovative research in Computer applications is much stronger. All the archaeological projects in the e-archive are documented…

The Data-Driven Drug Discovery Network (D4N) is an initiative by researchers from Leiden University and collaborators to join efforts in applying and developing novel techniques from data science to drug discovery and related topics from bioinformatics. The network is embedded in the Leiden Centre of…

Promotores: J.C. van Houwelingen, S.A. van de Geer

Ragazzi, ‘Suspect community or suspect category?‘, Journal of Ethnic and Migration Studies

Leiden University and the Ministry of Infrastructure and Water Management are involved in a collaboration in the form of a research project titled 'Data-Driven Risk Assessment in Infrastructure Networks'.

Industrial manufacturing processes, such as the production of steel or the stamping of car body parts, are complex semi-batch processes with many process steps, machine parameters and quality indicators.

Data Sets Department of Economics

Big data promises to transform public decision-making for the better by making it more responsive to actual needs and policy effects. However, much recent work on big data in public decision-making assumes a rational view of decision-making, which has been much criticized in the public administration…

The Collective Experience of Empathic Data Systems (CEEDs) consortium developed novel integrated technologies that support experiencing, analysing and understanding of very large datasets.

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…

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.

Sport Data Center

Promotor: P.D. Grünwald

A new discussion paper published in Policy Sciences by two Leiden researchers claims that governments are working with one hand tied when it comes to data on vulnerable groups. At the core of this paper is the idea that even though the volume of data has increased in recent years, the quality of the…

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…

French and Dutch MA/PhD students discuss the applications and challenges of big data in their specific fields of expertise

The Leiden Centre of Data Science has become a partner of the Big Data Alliance (BDA), a multidisciplinary platform that brings together experts from industry and academia.

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.

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…

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…

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.

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 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.

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 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.

Software and Data of the department Industrial Ecology

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 General Data Protection Regulation (GDPR) came into force in 2018. It was intended to protect the rights and freedoms of individual citizens from the risks of personal data processing. Meanwhile, the phenomenon known as big data has continued to advance at a fast pace. PhD defence on 12 Septembe…

‘Big data’ is currently a hot topic and it is extremely relevant for archaeology, as new digital methods and a data explosion are radically changing archaeological research. What exactly is big data and how can we apply new data science techniques in archaeology? This was the topic of the 19th LCDS…

The annual workshop of the European Research Center for Information Systems (ERCIS) was held in Leiden this year. The Leiden Institute of Advanced Computer Science (LIACS) and the Leiden Centre of Data Science (LCDS) hosted the event.

On Tuesday, January 30th, the first symposium of the Data Science Research Programme took place at the Sylvius Building.

Government institutions make use of data science methods to process data on the economy and infrastructure. Researchers and policymakers came together at the LCDS meeting Big Data, Policy & Infrastructure to discuss their methods.