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

The World Data Visualization Prize for 2019 was awarded to Dimiter Toshkov, Associate Professor at the Institute of Public Administration, for his work on the theme of small states and good governance. The prize is a good way to raise awareness about the value of good data visualization.

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…

With tomography it is possible to reconstruct the interior of an object without destroying.

On March 20, 2019, a special meeting took place in the House of Representatives: a hackathon. The aim was to find solutions for better accessibility of the large amounts of information that are produced in the House of Representatives on a daily basis.

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.

This doctoral research project in design seeks to shed a light on legibility in the context of visually impaired beginning readers.

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

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

Promotor: J.N. Kok, Co-promotor: M.S. Lew

On 20 February 2019, a special meeting on data science took place in the House of Representatives. The aim of the meeting was to start a dialogue with government organisations about data developments within the government.

Knowledge and culture subproject 3:

With the dramatic growth of the image data on the web, there is an increasing demand of the algorithms capable of understanding the visual information automatically.

Are you eager to explore traditional and experimental audiovisual methods for ethnographic research? Do you consider translating your research findings into a documentary? Are you highly motivated, committed and hard working? Then Visual Ethnography is the right specialisation for you! Visual Ethnography…

Anyone who creates a page for a magazine, a PowerPoint presentation, a brochure, a poster or dreams up an idea for an infographic is faced with important questions:

In what ways can visual art play a vital role in countering the discriminating stigma experienced by transgender communities?

The Leiden Academic Course Center offers a large variety of visual art courses. Our courses are offered for beginners as wel as more advanced students. In the lessons everybody will be guided according to their experience. All the art supplies are included in the price of the physical courses. For…

This study aims to make a practical contribution to a new understanding and use of 3D reconstructions, namely as ‘laboratories’ to test hypotheses and visualize, evaluate and discuss alternative interpretations.

Social and Behavioural Sciences, Political Science

Vitamin A or retinol is essential in embryonic development, the visual cycle and the immune system.

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…

Building a Deep Cross-media Transfer Network to extract visual relations that relieve the problem of insufficient training data for visual tasks.

Special Issue in: Visual Anthropology, Volume 29, Issue 3, 2016

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.

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.

Practicum Artium (PA) is a programme specially developed for students of Leiden University with a talent for visual arts and an interest in artistic research. Art and research feed on one another and are intertwined in many ways. In Practicum Artium, you will explore artistic practices and methods,…

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

Larissa Mendoza Straffon and colleagues investigated visual attentional biases toward self-made artworks, which tend to be favoured, remembered, valued, and ranked above and beyond objects that are not related to the self. Their findings confirm that attention and preference are higher for self-made…

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.

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

Data Sets Department of Economics

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…

Deficiency of glucocerebrosidase (GBA) underlies Gaucher disease, a common lysosomal storage disorder. Carriership for Gaucher disease has recently been identified as major risk for parkinsonism. Presently, no method exists to visualize active GBA molecules in situ. We here report the design, synthesis…

Located in the small Kingdom of Commagene at the upper Euphrates, the late Hellenistic monument of Nemrud Daǧ (c. 50 BC) has been undeservedly neglected by scholars

Over the past decade, several novel types of spatially resolved

In our research protein translocation from Agrobacterium into yeast and plant cells is studied to obtain fundamental insights in the translocation process

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'.

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…

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 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.

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 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…

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…

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

Social and Behavioural Sciences

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'.

Science