Our mission is to advance the understanding of mental health of individuals with a history of stress and/or trauma through rigorous interdisciplinary research, integrating insights from clinical psychology, neurobiology, and social sciences. We are committed to translating our findings into innovative…

The aim of this project is to investigate the (cost)effectiveness of two innovative forms of trauma-focused therapy for patients with childhood abuse related PTSD. The ultimate goal is to improve quality of care and contribute to treatment innovation for this severely ill target population.

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.

Childhood sexual abuse is a common problem, with approximately one in five girls and one in 13 boys worldwide experiencing some form of sexual abuse before the age of 18. Despite its high prevalence, many individuals remain silent about these experiences, often delaying disclosure for years, with one…

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.

What do you do if you suspect someone around you is struggling with suicidal thoughts but you aren’t sure how to bring it up? And how can we support loved ones who’ve experienced trauma? In this episode clinical psychologist Joanne Mouthaan shares valuable insights on how to approach these topics and…

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…

Adults who were abused or mistreated as a child and consequently suffer from post-traumatic stress disorder (PTSD) can benefit greatly from cognitive behavioural therapy. This is the conclusion of a study of 149 patients. Researcher and PhD candidate Chris Hoeboer is hopeful about the results and the…

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…

There’s a lot that goes wrong in the treatment of patients with PTSD caused by childhood trauma. Endowed professor Maartje Schoorl wants to resolve this by bringing scientific research closer to the practice. Inaugural lecture on Friday 29 April.

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…

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

Military veterans with posttraumatic stress disorder often have symptoms that are both chronic and complex. Professor by Special Appointment Eric Vermetten is looking for new ways to help them deal with these. One possible medicine: party drug MDMA.

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 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…

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.

Anne-Laura van Harmelen has received a Vidi grant from the Dutch Research Council (NWO). This talent programme will enable Van Harmelen to research the social and neurobiological mechanisms of resilience in young people with childhood trauma.

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…

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.

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.

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.

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