‘Tell me something I don’t know,’ said skating coach Jac Orie to Leiden data scientist Arno Knobbe. And he did. Knobbe and his colleagues now assist athletes in all kinds of ways with the help of data mining.

A research goal for ABS is to develop miniaturized platforms for research in (stem)cell, in-vitro systems and application in clinical and preventive research. Combined with the high throughput, this development will make it possible to study the dynamics of pathogenesis in human and cellular models…

Yuxi Nie defended her thesis on 15 October 2019.

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

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

Promotor: S.M. Verduyn Lunel

Edward Elgar

Developing new medicines is one of modern science's most significant hurdles, a process marked by high costs, long timelines, and frequent failures of promising candidates.

Molecular complexes can be used as electrocatalysts for oxygen reduction, water oxidation, and/or hydrogen peroxide production.

If researchers make their data FAIR, computers can link large quantities of data and identify patterns, thus greatly accelerating the process of arriving at new insights. In Leiden, the birthplace of ‘FAIR data’, Professor Barend Mons explains the meaning of this term.

In astronomy, the interpration of observations and measurements plays a crucial role: we rely purely and fundamentally on the information that reaches us as observers. And 80% of all matter in the universe is undetectable directly.

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…

PhD defence

The focus of the Bachelor Data Science & Artificial Intelligence is on computer science, and its applications in Artificial Intelligence. You will receive a strong basis in mathematics, statistics and computer science, combined with advanced knowledge of machine learning, cognitive science, human-robot…

The research in this dissertation aims to optimise blood donation processes in the framework of the Dutch national blood bank Sanquin. The primary health risk for blood donors is iron deficiency, which is evaluated based on donors' hemoglobin and ferritin levels.

How to access the end-of-supply risk of spare pares using big data analytics

Promotores: Arjen Doelman, Jens Rademacher, Max Rietkerk

Optical projection tomography (OPT) is a tomographic 3D imaging technique used for specimens in the millimetre scale.

How can we make the information in handwritten historical research reports accessible and searchable? Data scientists at Leiden University are working with other universities on a method that will improve access to cultural heritage.

This thesis investigates how the assessment of circular economy (CE) at the macro-economic level can be facilitated and promoted⁠.

Promotor: P.D. Grünwald

Study information

In this consortium CWTS (Leiden University) collaborates with two Swedish SMEs: Monocl AB and Recorded Future AB. Monocl AB delivers intuitive analysis software to Life Sciences professionals in support of strategic decisions and improvement of business performance. Recorded Future AB is an organization…

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

Are you curious about how science and technology contribute to a sustainable and innovative future? At Leiden University, you’ll explore the world of data, natural laws and living systems. From mathematics to artificial intelligence, from climate challenges to high-tech innovation: you’ll learn to analyse…

Are you curious about how science and technology contribute to a sustainable and innovative future? At Leiden University, you’ll explore the world of data, natural laws and living systems. From mathematics to artificial intelligence, from climate challenges to high-tech innovation: you’ll learn to analyse…

Promotores: W.T. de Groot, M. Tchuenté, Co-promotor: J.P. Cheylan

Studying how single DNA molecules behave helps us to better understand genetic disorders and design better drugs. Until now however, examining DNA molecules one-by-one was a slow process. Biophysicists from Delft University of Technology and Leiden University developed a technique that speeds up screening…

In this article, Marco Cinelli, assistant professor at Leiden University College The Hague, examines proper and improper uses of Multiple Criteria Decision Analysis (MCDA) methods in energy systems analysis.

In this thesis we explore machine and deep learning approaches that address keychallenges in high dimensional problem areas and also in improving accuracy in wellknown problems. In high dimensional contexts, we have focused on computational fluid dynamics (CFD) simulations.

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.…

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,…

This project, commissioned by DG Research and Innovation, aims to provide information for policies that lead to the creation and improvement of the conditions which will allow researchers and European industries to safely master the properties of nanomaterials and to innovate with nanotechnology.

This case study-based textbook in multivariate analysis for advanced students in the humanities emphasizes descriptive, exploratory analyses of various types of data sets from a wide range of sub-disciplines, promoting the use of multivariate analysis and illustrating its wide applicability. Fields…

Are you curious about how science and technology contribute to a sustainable and innovative future? At Leiden University, you’ll explore the world of data, natural laws and living systems. From mathematics to artificial intelligence, from climate challenges to high-tech innovation: you’ll learn to analyse…

Are you curious about how science and technology contribute to a sustainable and innovative future? At Leiden University, you’ll explore the world of data, natural laws and living systems. From mathematics to artificial intelligence, from climate challenges to high-tech innovation: you’ll learn to analyse…

Tools and Data of the department of Environmental Biology

The current study focuses on Walpole’s social network and the language as contained in the letters of the network members.

On 21 November 2018, Lieke Kools defended her thesis 'Essays on wealth, health, and data collection'. The doctoral research was supervised by Prof. dr. K.P. Goudswaard en Prof. dr. C.L.J. Caminada.