This PhD project develops and applies a GIS procedure to use legacy survey data in settlement pattern analysis. As part of the research by the LERC project (NWO, Leiden University, KNIR), legacy data produced by surveys in central and southern Italy are examined in a comparative framework to investigate…

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

In several Mediterranean regions archaeological sites have been mapped by fieldwalking surveys, producing large amounts of data. These legacy site-based survey data represent an important resource to study ancient settlement organization. Methodological procedures are necessary to cope with the limits…

One of the effects of climate change is the phenomenon of desertification, a process that occurs in semi-arid and arid areas and causes land degradation as well as vegetation loss. Due to the lack of resources, vegetation self-organizes to sustain itself by forming large-scale spatial patterns.

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…

Promotor: A. Doelman, Co-promotores: P.J.A. van Heijster; A. Zagaris

Thanks to data science, we can chart and search enormous quantities of related information. This generates all kinds of new insights, for example in complex global financial structures or such societal problems as loneliness.

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

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…

Patterned detectors are an existing technology that can be found in almost all color cameras.

With the conference circuit slowly reopening after Covid forced almost all academic interactions online, thousands of conference attendees descended on Brussels for Europe’s largest technology conference. eLaw’s annual sponsorship of one of the many CPDP conference panels brought a diverse range of…

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

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

Mycorrhizas are symbiotic associations between soil fungi and most plant species.

Patterns of paleomobility in the Caribbean were studied through an inter-disciplinary approach using a combination of archaeological, osteological, mortuary, and isotopic data.

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

This part entails the analysis of an extensive sample of animal bone (c. 30,000 pieces) retrieved from well-defined archaeological contexts of the early period at Tell Sabi Abyad, c. 6800-6200 BC. It comprises aspects of taphonomy, ageing and osteometry, the reconstruction of the local spectrum of domestic…

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.

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

On May 17th, Arthur Crucq succesfully defended his doctoral thesis and graduated. The Leiden University Centre for Linguistics congratulates Arthur on this great result.

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.

Promotor: E. Gittenberger, Co-promotor: B.W. Hoeksema

The deeper understanding of an organism's pathology is important for developing treatments. Over centuries of systematic research, clinical researchers have demonstrated that the more information they acquire about the cellular properties and their organisation in the tissue, the better they can understand…

How sustainable are open data infrastructures? Will the data we need in the future be available and usable? This project takes COVID-19 data/infrastructures as a case to study the sustainability and dynamics of open data infrastructures.

Vast, often populated, areas in dryland ecosystems face the dangers of desertification.

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 this work, we attempt to answer the question:

We consider the propagation of electrical signals through nerve fibres.

This thesis describes how complex and real-world relevant analytical solutions can be found starting from a simple Nagumo problem posed on one or two-dimensional lattices.

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

During the development of the (human) body from a single fertilized egg, organs and structures must form. The development and growth of biological forms is called morphogenesis.

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.

Exploring the value of data-driven approaches in education: collecting, analysing, and interpreting data from educational environments to improve teaching and learning outcomes.

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.

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…

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.

Promotor: Prof.dr. B.R. Katzy, Co-promotor: R. Ortt

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.

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.

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.

Data Sets Department of Economics

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…

This thesis describes the use of the evolutionary approach in the study of language change, aiming to provide a better insight in the mechanisms that play a role in language change and to validate this approach in the field of language change.

Under what circumstances is politicization more likely to occur than others, and what impact does politicization have on government legitimacy and performance?

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…

This project aims to develop advanced data analysis methods for monitoring and increasing our understanding on biodiversity dynamics in nature reserves such as the Oostvaardersplassen.

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