Social science research helps us understand human behaviour and social structures. These are determined by various factors, which makes the research complex and increases the likelihood of drawing the wrong conclusions. The choice of research method and analysis is therefore extremely important. It…

The group Statistical Science is responsible for research and teaching in statistics and data science.

Does the sitter have agency in the making of a photographic portrait? And if so how?

Governments are increasingly facilitating the roll-out of so-called “smart meters”, a technology for measuring energy consumption that are able to transmit and receive data using a form of electronic communication. However, implementation has been slow or even stalled.

Wouter Eekhout, our data magician, came in 3d place in the ‪#‎LinksSDGs‬ - Natural language processing and data visualization challenge.

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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…

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…

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'.

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.

Software and Data of the department Industrial Ecology

This thesis applies data mining in commercial settings in the telecommunications industry.

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.

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.

This is a period when you may have more time to work on your personal development.

LUMC Technology Focus Area (TFA) Data Analytics is een samenwerkingsverband van verschillende onderzoeksgroepen in het LUMC die nieuwe kwantitatieve en computationele methodologie ontwikkelen voor biomedisch en klinisch onderzoek.

Science, Leiden Academic Centre for Drug Research (LACDR)

Overview of CML software and data

On 16 May 2022, Professor Michel Wouters from the Department of Biomedical Data Sciences at the Leiden University Medical Centre (LUMC), will deliver his inaugural lecture titled ‘Quality of Cancer Care: why the real world matters’. Wouters will use the opportunity to describe how quality registries…

Assessing and implementing new diagnostics strategies for stratifying patients

Promotor: Jan van der Greef; Co-promotors: Mei Wang; Eduard van Wijk

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.

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

Due to the modern techniques of combinatorial chemistry and high-throughput screening, data on the biological activity of many millions of compounds is known. However, it is still very difficult to transfer this data into knowledge: if we know that compounds A and B bind to a certain protein with high…

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

Health Data Science Leiden University

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Creating information portals for support of European environmental policy.

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…

How does the cluster bootstrap procedure in combination with various types of linear models perform in the analysis of longitudinal data, compared to other methods.

‘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.

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…

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.

Lecture

Promotor: Prof.dr. J.N. Kok, Co-promotor: Dr. A.J. Knobbe

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.

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 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.

Tools and Data of the department of Environmental Biology

Online data breaches are recurrent and damaging cyber incidents fors organizations worldwide. This study examines how organizations can effectively mitigate reputational damages in the aftermath of data breaches by hacking, through situational crisis communication strategies.

This dissertation examines whether a cochlear implant provides congenitally deaf born children with sufficient auditory input to acquire low salient and syntactically and semantically complex functional items such as personal pronouns compared to their hearing peers.

Lecture

Lecture

In this research project, the protection of personal data is compared in eight EU member states: France, Germany, the UK, Ireland, Romania, Italy, Sweden and the Netherlands. The comparison of the countries is focused on government policies for the protection of personal data, the applicable laws and…

Are all murderers calculating psychopaths with an obscene predilection for bloody chainsaws? Yes, if Hollywood is to be believed, but in the real world they are generally everyday people with problematic backgrounds. Professor of Violence and Interventions Marieke Liem therefore calls for the demythologisation…

First Person #1 is an exhibition of two photographic projects by Judith van IJken, photographer, lecturer and PhD candidate at ACPA, Leiden University.

Promotor: P.D. Grünwald

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,…

The use of increasingly large and diverse datasets to guide urban climate action has implications for how, and by whom, local governments are held accountable.