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.

This project develops a scientific method to extract clinically relevant new information from patient forum websites that discuss patient experiences concerning e.g. medication, nutrition, co-morbidities, genetic factors etc.

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

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…

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.

Collecting data in sports increased in importance the last few years.

As a PhD candidate, you probably work with personal data. That’s not just names and telephone numbers – it can also include things like cookies. To keep (personal) data as secure as possible, the university has established an information security policy.

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

Are you thinking about studying Statistics and Data Science? Learn more and watch the introduction video.

As a PhD candidate, you probably work with personal data. That’s not just names and telephone numbers – it can also include things like cookies. To keep (personal) data as secure as possible, the university has established an information security policy.

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…

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

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…

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

Software and Data of the department Industrial Ecology

Overview of CML software and data

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…

Edward Elgar

Text Mining and Retrieval Leiden (TMRL) focusses on text mining and retrieval problems in complex domains.

The Book and Digital Media Studies programme provides you with in-depth knowledge of the history of the book (manuscript and print) and theories and practices within the field of publishing and digital textual media. You will graduate with detailed knowledge of the most relevant issues and important…

Tools and Data of the department of Environmental Biology

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.

One of the ways of understanding another culture better is to examine what people experience when they read a text, or look at an image. Leiden experts have a lot of knowledge in this field, for example on culture in ancient Japan.

Science, Leiden Institute of Advanced Computer Science (LIACS)

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'.

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

Promotor: J.N. Kok, Co-promotor: C.M. Soares, A.J. Knobbe

PUMA aims at composing a geological map of the urban mine of Amsterdam for a selection of metals. Where are main deposits of copper, iron and aluminium located, when will they become available for secondary production, in what state and shape are they?

Medicine/LUMC, Science

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

The elicitation of mentor teachers' practical knowledge by prospective teachers

Everything you need to know about the minor Digital Humanities.

The archaeology domain produces large amounts of texts, too much to effectively read or manually search through for research. To alleviate this problem, we created a search system (called AGNES), which combines full text search with entity and geographical search.

This project investigates the transposition of natural historical material, knowledge and vision, between different media (collection, scientific drawing, academic texts, the visual arts and/or literature) – a transmission that happens in the borderline between the traditional, emblematic worldview…

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 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…

On dinsdag 26 juni 2018, Linlin Sun defended her doctoral thesis ‘International Environmental Obligations and Liabilities in Deep Seabed Mining’. The doctoral research was supervised by Prof. dr. N.J. Schrijver en Prof. dr. E.C.P.D.C. De Brabandere.

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.

Mining time series is a machine learning subfield that focuses on a particular data structure, where variables are measured over (short or long) periods of time.

Reuse everything and stop producing waste. By 2050, the Netherlands should have a circular economy. However, the new Integral Circular Economy Report by the Netherlands Environmental Assessment Agency (PBL) shows that there is still a long way to go. For the report, the Institute of Environmental Sciences…

The Explainatory Data Analysis group develops algorithms and theory that enable domain experts to explain data by finding interpretable patterns and models.

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.

Abdolreza Alamdar Baghini defended his thesis on 5 December 2019.

In this work, we attempt to answer the question:

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.

Social and Behavioural Sciences

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.

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…

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.