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791 search results for “sovereign data” in the Public website

• Legal and policy aspects of space big data Research output

  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.

• Workshop: How to write a Data Management Plan (DMP) Event - 10 March 2026

  Workshop

• Workshop: How to write a Data Management Plan (DMP) Event - 11 May 2026

  Workshop

• Workshop: How to write a Data Management Plan (DMP) Event - 25 June 2026

  Workshop

• 
  Wessel Kraaij Professor

  Faculty of Science

• LABDA (Learning Network for Advanced Behavioural Data Analysis) Research project

  Understanding how data derived from wearable technology can be used to identify effective changes in behaviour that are likely to result in health improvements

• Data-driven Predictive Maintenance and Time-Series Applications Research output

  Predictive maintenance (PdM) is a maintenance policy that uses the past, current, and prognosticated health condition of an asset to predict when timely maintenance should occur.

• Applied statistics as a pillar of data science Research Dossier: Data Science

  Data science is now growing fast in many places, but scholars at Leiden University have been developing data science techniques for a long time already. Thanks to their broad-based expertise, Leiden statisticians are currently combining the achievements in statistics with the latest methods of statistical…

• Demystifying research data interoperability: A joint Leiden / Delft workshop Event - 26 February 2026

  Workshop

• Accountability and data-driven urban climate governance Research output

  The use of increasingly large and diverse datasets to guide urban climate action has implications for how, and by whom, local governments are held accountable.

• Knowledge Discovery and Data Mining from patient experience repositories Research project

  This project develops a scientific method to extract clinically relevant new information from patient forum websites that discuss patient experiences concerning e.g. medication, nutrition, co-morbidities, genetic factors etc.

• A large-scale crop protection bioassay data set Research output

  ChEMBL is a large-scale drug discovery database containing bioactivity information primarily extracted from scientific literature.

• Student for a day Data science & Artificial Intelligence Event - 19 February 2026

  Study information

• Interaction with sound for participatory systems and data sonification Research output

  This thesis deals with the use of sound in interactions in the context of participatory systems and data sonification. We investigate an interactive environment where participants perceive information of the data through sound elements.

• Data Atlas of Byzantine and Ottoman Material Culture Research project

  Archiving Medieval and Post-Medieval Archaeological Fieldwork Data from the Eastern Mediterranean (600-2000)

• 
  Matthijs van Leeuwen Associate professor/Director of Education

  Faculty of Science

• 
  Danny Mekic External PhD candidate

  Faculteit der Rechtsgeleerdheid

• 
  Gerrit-Jan Zwenne Professor Law and Digital technologies

  Faculteit der Rechtsgeleerdheid

• 
  Harold Nefs Assistant Professor

  Faculty of Social and Behavioural Sciences

• 
  Sarah Plukaard Assistant Professor

  Faculty of Social and Behavioural Sciences

• Exploring big data approaches in the context of early stage clinical Research output

  Als gevolg van de grote technologische vooruitgang in de gezondheidszorg worden in toenemende mate gegevens verzameld tijdens de uitvoering van klinische onderzoeken.

• Data use, online consumer needs, business strategies and regulatory response Research project

  This project aims to explore and examine the factors that impact upon the efficacy of information disclosure duties pertaining to customer data use in online business.

• Deep learning for tomographic reconstruction with limited data Research output

  Tomography is a powerful technique to non-destructively determine the interior structure of an object.Usually, a series of projection images (e.g.\ X-ray images) is acquired from a range of different positions.

• 
  Richard Gill Professor emeritus

  Faculty of Science

• Accessing End-Of-Supply Risk of Spare Parts Using Big Data Research project

  How to access the end-of-supply risk of spare pares using big data analytics

• 
  Matthew di Giuseppe Director of Studies / Associate Professor

  Faculty of Social and Behavioural Sciences

• 
  Vincent Croft Postdoc

  Faculty of Science

• 
  Nees Jan van Eck Senior researcher

  Faculty of Social and Behavioural Sciences

• Data mining and algorithm development Research project

  Due to the modern techniques of combinatorial chemistry and high-throughput screening, data on the biological activity of many millions of compounds is known. However, it is still very difficult to transfer this data into knowledge: if we know that compounds A and B bind to a certain protein with high…

• EU privacy and data protection law applied to AI Research output

  On 23 April, Andreas Häuselmann defended the thesis 'EU privacy and data protection law applied to AI: unveiling the legal problems for individuals'. The doctoral research was supervised by Gerrit-Jan Zwenne and Bart Custers.

• 
  Joost van den Berg Content Manager

  Faculty of Humanities

• 
  Rob Tijdeman Professor emeritus

  Faculty of Science

• 
  Fatma Çapkurt Assistant professor

  Faculteit der Rechtsgeleerdheid

• 
  Jacqueline Meulman Professor emeritus

  Faculty of Science

• Based Clustering of Objects on Subsets of Attributes in High-Dimensional Data Research output

  This monograph focuses on clustering of objects in high-dimensional data, given the restriction that the objects do not cluster on all the attributes, not even on a single subset of attributes, but often on different subsets of attributes in the data.

• VODAN Africa – FAIR Covid-19 Data across Africa and Asia Research project

  VODAN Africa started as a platform to enable access to critical data needed from Africa to fight the novel COVID-19. The initiative was inspired by the experience from the Liberia Ebola Virus outbreak in 2014: early detection requires contact tracing. Inclusion of the most vulnerable is critical to…

• The flux and flow of data: connecting large datasets with machine learning in a drug discovery envirionment Research output

  This thesis focuses on data found in the field of computational drug discovery. New insight can be obtained by applying machine learning in various ways and in a variety of domains. Two studies delved into the application of proteochemometrics (PCM), a machine learning technique that can be used to…

• Data-Driven Machine Learning and Optimization Pipelines for Real- World Applications Research output

  Machine Learning is becoming a more and more substantial technology for industry.

• Design and development of a comprehensive data management platform for cytomics: cytomicsDB Research output

  Promotor: J.N. Kok, Co-promotor: F.J. Verbeek

• 
  Frank Takes Associate professor/Director of Education

  Faculty of Science

• Stacked Domain Learning for multi-domain data: a new ensemble method Research project

  The aim of this project is to develop accurate but interpretable ensemble learning methods for high-dimensional multi-domain data.

• Understanding Homicide in Indonesia: Harnessing Traditional and New Media Data for Insight Research project

  To what extent is it possible to utilise traditional and new media data to examine and understand the nature and scope of homicide in Indonesia?

• 
  Cor Veenman Postdoc / guest

  Faculty of Science

• 
  Jaap-Willem Mink Data Steward

  Faculty of Social and Behavioural Sciences

• 
  Bastienne Vriesendorp Lecturer

  Faculty of Science

• 
  Somayeh Sahebalzamani Guest

  Faculty of Social and Behavioural Sciences

• Modelling the dynamics of the innovation process: a data-driven agent-based approach Research output

  Promotor: Prof.dr. B.R. Katzy, Co-promotor: R. Ortt

• Visual analytics for spatially-resolved omics data at single cell resolution: Methods and Applications Research output

  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…

• the automated detection of archaeological objects in remotely sensed data Research project

  Generally the data from remote sensing surveys - the scanning of the earth by satellite or aircraft in order to obtain information about it - is screened manually in archaeology. However, constant monitoring of the earth's surface causes a huge influx of data of high complexity and high quality. To…

• A new era for nature conservation using hyperspectral and lidar data; Oostvaardersplassen as a case study Research project

  This project aims to develop advanced data analysis methods for monitoring and increasing our understanding on biodiversity dynamics in nature reserves such as the Oostvaardersplassen.