The main objective of this research is to map out the cities of the Roman Near East in the imperial period, with a focus on location, city size and urban features, in order to study the form the urban system and its levels of integration.

The areas around the Mediterranean Sea have a rich and fascinating past. Do you want to explore these ancient and diverse cultures of the Mediterranean World? In the Dutch-taught Bachelor's programme Ancient Near Eastern Studies at Leiden University you will study the world of Ancient Egypt, Mesopotamia…

The Near East, situated at the nexus of Europe, Africa, and Asia, was central to the development of ancient societies in all three continents.

Synthetic microswimmers take an important place within the interdisciplinary field of active soft matter.

This book focuses on the element of thresholds – makeshift gates, makeshift structures and house doors – as concepts of liminality in ancient Near Eastern magical rituals, and the idea of transformation they reflect.

In this thesis, we develop a novel technique called Optical Near-field Electron Microscopy (ONEM), which aims to combine the advantages of both optical and electron microscopy: the high resolution of electron microscopy and the low sample damage of optical microscopy.

Promotor: Prof. dr. A.G.G.M. Tielens

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.

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.

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

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.

This book examines how gender relations were regulated in ancient Near Eastern and biblical law. The textual corpus examined includes the various pertinent law collections, royal decrees and instructions from Mesopotamia and Hatti, and the three biblical legal collections. The book explores issues beginning…

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…

The Van Loon project sets out to safeguard the archives of Dutch archaeologist Maurits van Loon (Amsterdam, September 22, 1923 - Montpellier, October 12, 2006) and make them accessible for further study.

This volume publishes the proceedings of the eleventh annual University of Chicago Oriental Institute Seminar. It uses the sphere of legal institutions as a prism through which to consider gender relations in the ancient world, both in the Near East and beyond. It examines how similar issues were manifested…

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.

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…

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

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: M.L. van Hecke, Co-Promotor: B.P. Tighe

This thesis explores the theoretical and observational properties of distant massive galaxies that harbour active black holes in their centres and shine brightly at radio wavelengths.

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

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.

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…

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…

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…

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

The project 'Data use, online consumer needs, business strategies and regulatory response' aims to explore and examine the factors that impact upon the efficacy of information disclosure duties pertaining to customer data use in online business.

Promotores: J.C. van Houwelingen, S.A. van de Geer

On 7 February 2019, Helena Ursic-Vrabec defended her thesis 'Uncontrollable: Data subject rights and the data- driven economy'. The doctoral research was supervised by Prof. dr. S. van der Hof.

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

At Psychology Lab on Wheels, we take your privacy and the security of your personal data very seriously. We want to assure you that all the information collected during this study will be handled in accordance with the General Data Protection Regulation (GDPR).

Data management is crucial for the success of research projects.

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.

Health research, medical practice and consequently the whole population is increasingly affected by digitization, data science and AI.

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

Why should you publish your data? ... and how?

Data Science (DS) and Artificial Intelligence (AI) are omni-present and have the potential to be incorporated in various fields. However, in order to live up to this expectation, a good understanding of the techniques, their implications and limitations is required. In this minor you develop insights…

The Data Management Protocol is an elaboration of the Leiden University Data Management Regulations for research that takes place within the Leiden Institute of History. It is intended for researchers who are starting a research project and / or researchers who are going to submit a proposal to external…

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

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.

Workshop

Sport Data Center

Our group is part of the Metabolomics and Analytics Centre where we accompany the data from its acquisition all the way to the publication of identified associations and biomarkers for a range of human diseases. The generated data of the metabolic measurements are assessed using an in-house quality…

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.

The master’s programme Statistics & Data Science provides students with a thorough introduction to the general philosophy and methodology of statistical modelling and data analysis. The programme has two specialisations: Data Science and Statistical Science.