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.

The Survey of Literature is published twice a year (February and August).

This book contains the first three Leiden-Aramco Lectures on Arabic Language and Culture delivered by Petra Sijpesteijn, James E. Montgomery and Geert Jan van Gelder.

In the master’s programme in Older Dutch literature at Leiden University you will study Dutch literature from the Middle Ages (1100-1550) until the Golden Age and Enlightenment (1550-1800). During the programme you will develop a vision on the value of the Dutch literary heritage.

During the master’s programme in Modern Dutch Literature at Leiden University you will learn to scientifically analyse literary texts, as well as other Dutch cultural texts, such as those found in hiphop songs and diaries.

The Academic Language Centre has developed 4 video clips on Literature Review. Watch them below for a good start to your studies!

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

Historicising Art and Literature is one of the six research themes of the LUCAS Modern and Contemporary cluster.

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…

This project will study the cultural meaning of the mythological figure of Orestes within the ancient Greek imagination, as it emerges from various literary sources from the archaic and classical periods.

Utrecht University has a vacancy for a professor Middle Dutch literature and culture. Deadline for applications: 6 November 2021.

Research

On the 25th of October, Suze Anja Verkade successfully defended a doctoral thesis. The Leiden University Centre for Linguistics congratulates Suze Anja on this achievement!

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

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…

How can a CLIL approach, with a focus on disciplinary literacies, improve the teaching of the LLA programme’s literary component in senior TTO?

On 27 May, Dimitra Stefoudi defended the thesis 'Legal and policy aspects of space big data: legal implications of the use of large amounts of space data – regulatory solutions and policy recommendations'. The doctoral research was supervised by Steven Truxal and Bart Custers.

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.

From as early as classical antiquity there has been an interplay between literature and medicine.

The interplay between literature and law is what Frans-Willem Korsten wants to address as a brand-new professor of Literature, Culture and Law. That means doing research, but certainly also teaching. 'The Hague is of crucial importance for the humanities.'

Neo-Baroque construction and deconstruction of the concepts of paradise in fiction.

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

The ethics of ghosts, spectres, and mediums in postcolonial literature

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.

The available tools for academic literature search return a list of ranked documents, which might not be ideal for some tasks. To facilitate these tasks, I am creating a visual representation of the academic search space where the user can browse academic topics.

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…

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

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.

ERC Starting Grant: The Van Manen Project. This five year project (2023-2028) is made possible with an ERC Starting Grant. It aims to (digitally) reunite all parts of the Van Manen Collection. This enables us to study it as a whole, helping us to understand the process of collection formation. More…

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…

Digital edition of the correspondence between the philosopher Gerardus Johannes Petrus Josephus (Gerard) Bolland (1854-1922) and the philologist Pieter Jacob Cosijn (1840-1899), consisting of 46 letters covering the period 1879 to 1899.

Haneen Omari defended her thesis on 29 October 2019

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…

In relational databases you can store information and data without losing the relationships between those data. They are therefore useful tools for computer scientists. There is, however, a gap between the relational database research community and data scientists. This leads to inefficient use of databases…

Data Sets Department of Economics

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.

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…

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

Netherlands Statistics (CBS), Leiden University and the University of Amsterdam have started a collaboration in the form of a research project titled 'Enriching official economic statistics using data-driven modelling techniques'.

The combination of data science and sports is a hot topic. In a talk during the opening of the Academic Year at the Faculty of Science, Professor Joost Kok explained what data analytics can teach us about sports.

This thesis seeks to examine the emergence of Persian novels and short stories during the Iran-Iraq War (1980-1988).

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…

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…