The Data Science Research Programme aims to advance the state of the art in Data Science research and to accelerate the use of Data Science methods at all faculties of Leiden University.

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.

Prof.dr.ir. Wessel Kraaij is appointed director of the Data Science Research Programme (DSRP) at Leiden University, starting March 1st. He is the successor of prof.dr. Joost Kok, who recently exchanged Leiden for the position of dean in Twente.

The ability to collect and interpret huge quantities of data has become indispensable to society and academia. Leiden University is a knowledge and expertise centre for data science that places the emphasis on interdisciplinary collaboration and innovation.

What is the best living environment for dementia patients? To answer this question, Daniela Gawehns is using data mining methods to search through different types of data source. Her research is inadvertently building a bridge between two disciplines that are sometimes somewhat wary of each other.

Lecture, Seminar

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…

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…

The master's specialisation Data Science: Computer Science at Leiden University provides students thorough knowledge and understanding of statistical and computational aspects of data analysis, including their application in databases, advances in data mining, networks, pattern recognition, and deep…

The majority of scientists, from archaeologists through to zoologists, collect enormous volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics and computer science, we can develop algorithms for analyzing…

The majority of scientists, from archaeologists through to zoologists, collect huge volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics, we can develop algorithms for analysing and identifying patterns…

The Data Science for Statistical Science master’s specialisation at Leiden University gives you a better understanding of statistical models, especially in relation to Data Science, including their application and interpretation in a broad range of empirical research.

Conference

The Astronomy and Data Science master’s specialisation at Leiden University combines advanced Astronomy courses with relevant courses from the Computer Science programme at Leiden University.

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'.

Although science and education have top priority, exploratory projects with companies, governments and NGOs generate ample opportunities in terms of societal challenges, science strategy, valorisation and research collaboration. In the LIACS Applied Data Science Lab, our master's students and graduates…

The Leiden Centre of Data Science (LCDS) is a network of researchers from different scientific disciplines, who use innovative methods to deal with large amounts of data.

Patients with certain diseases discuss their experiences and support one another on specialised internet forums. With the right data-science methods, these forums can be a goldmine of information for researchers. PhD candidate Anne Dirkson is researching these methods.

PhD candidate Manon Wintgens is using an algorithm to trawl through thousands of international tax treaties. She hopes to detect a system in the dizzying interplay between countries, businesses and documents. It is a unique research project.

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…

Computers are becoming so smart that in the future they will perhaps take over the role of judges. In the meantime, experts at Leiden University are examining the question of which standards responsible data science should meet.

In this PhD-thesis several new and existing data science application are described that are particularly focused on applications for tax administrations.

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)…

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.

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…

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'.

A mix of data research, artificial intelligence and archaeology led to lively discussions on 31 January. On that day the unique event 'AI & Data Science @ Archaeology' took place in which the Data Science Research Programme (DSRP), SAILS and the Faculty of Archaeology joined forces.

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.

The research programme Statistical Science is concerned with the analysis and interpretation of masses of data, the quantification of uncertainty using probability models, and the development and benchmarking of algorithms and methods with these aims.

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…

Combining results from bibliometric analyses, a global sample of researcher opinions and case-study interviews, a new report reveals that although the benefits of open research data are well known, in practice, confusion remains within the researcher community around when and how to share research…

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'.

Data science is now growing fast in many places, but scholars at Leiden University have been developing data science techniques for a long time already. Thanks to their broad-based expertise, Leiden statisticians are currently combining the achievements in statistics with the latest methods of statistical…

LIACS is a partner in the EU Erasmus+ Curriculum Development for the Asian education system. The knowledge available in the field of Data Science and Artificial Intelligence education will be shared and adapted for the Asian market.

There are around 300,000 people in the Netherlands who donate blood on a regular basis. Women can give blood up to three times a year and men up to five times, resulting in approximately one million blood donations each year. Patients that receive this donated blood are already in a vulnerable condition,…

Science, Mathematical Institute (MI)

Wouter Verschoof-van der Vaart is refining an artificial intelligence system that can detect and classify archaeological objects on digital images. Such a system is desperately needed because human archaeologists around the world are being flooded with data.

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

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

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.

Data Sets Department of Economics

How can citizen science be used to communicate and provide data for social network analysis?

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 change from a closed institution to an open living environment for patients with late stages of dementia will give the patients more freedom in their day-to-day life. The effect of this change on the patients’ mobility, activity and interaction with others will be assessed with sensor technology…

LUCIS funds several research programmes to boost interfaculty and interdisciplinary cooperation and to widen the involvement of LUCIS members.

LACDR adheres to strict data management rules, with the aim to make our data findable, accessible, interoperable and re-usable. For this reason all LACDR PhD candidates are required to prepare a data management plan and to implement data management rules accordingly. All PhD candidates follow a data…

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

What consequences does Brexit have for the protection of personal data?

The Sanquin blood bank gathers data on every donation. Around 720,000 donations are made every year. ‘That generates a mountain of highly valuable data,’ says Leiden PhD candidate Marieke Vinkenoog.