Data Sets Department of Economics

Students use the Journalism Lab to acquire essential skills in journalism and new media.

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.

Study information, Online Experience

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…

Combining results from bibliometric analyses, a global sample of researcher opinions and case-study interviews, a new report reveals that although the benefits of open research data are well known, in practice, confusion remains within the researcher community around when and how to share research…

Our research regularly receives attention in the (Dutch) popular media. Here is an overview.

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

How do videos, movies and documentaries dedicated to indigenous communities transform the media landscape of South Asia? Based on extensive original research, this book examines how in South Asia popular music videos, activist political clips, movies and documentaries about, by and for indigenous communities…

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

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

A European cooperation project on disinformation and fact-checking training empowering current and future media and media education professionals, to identify, prevent, and combat fake news spread over digital networks.

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.

Are you thinking about studying Film and Photographic Studies? Learn more and watch the introduction video.

Are you thinking about studying Cultural Analysis: Literature and Theory? Learn more and watch the introduction video.

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

Nina Baranowska and Gianclaudio Malgieri have published a new blog post on Verfassungsblog: 'Towards a Legal Concept of Digital Well-being: Insights from the EU Commission’s Preliminary Findings on TikTok’s Addictive Design'.

'Politics of Withdrawal' considers the significance of practices and theories of withdrawal for radical thinking today.

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.

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…

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.

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

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…

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

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.

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.

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.

Although science and education have top priority, exploratory projects with companies, governments and NGOs generate ample opportunities in terms of societal challenges, science strategy, valorisation and research collaboration. In the LIACS Applied Data Science Lab, our master's students and graduates…

Workshop

Data sets available for scientific/research purposes.

This page provides an overview of our data management practices.

Study information

-

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

African oral literatures, new media and technologies: challenges for research and documentation

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