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768 search results for “data renske” in the Public website

• Tools and Data Department of Environmental Biology

  Tools and Data of the department of Environmental Biology

• Essays on wealth, health, and data collection Research output

  On 21 November 2018, Lieke Kools defended her thesis 'Essays on wealth, health, and data collection'. The doctoral research was supervised by Prof. dr. K.P. Goudswaard en Prof. dr. C.L.J. Caminada.

• 
  Wouter van Loon Guest

  Faculty of Social and Behavioural Sciences

• When data compression and statistics disagree: two frequentist challenges for the minimum description length principle Research output

  Promotor: P.D. Grünwald

• 
  Oliver Tuazon External PhD candidate

  Faculteit der Rechtsgeleerdheid

• 
  Laura Zwep Assistant professor

  Faculty of Science

• 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 - 11 May 2026

  Workshop

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

  Workshop

• 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.

• Student for a day Data science & Artificial Intelligence Event - 16 April 2026

  Study information

• 
  Wessel Kraaij Professor

  Faculty of Science

• 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…

• 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.

• 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)

• Van data naar actie Event - 13 April 2026

  Inaugural lecture

• 
  Matthijs van Leeuwen Professor / Director of Education

  Faculty of Science

• 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.

• 
  Gerrit-Jan Zwenne Professor Law and Digital technologies

  Faculteit der Rechtsgeleerdheid

• 
  Danny Mekic External PhD candidate

  Faculteit der Rechtsgeleerdheid

• 
  Harold Nefs Assistant Professor

  Faculty of Social and Behavioural Sciences

• 
  Sarah Plukaard Assistant Professor

  Faculty of Social and Behavioural Sciences

• 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.

• 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

• 
  Richard Gill Professor emeritus

  Faculty of Science

• 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…

• 
  Vincent Croft Postdoc

  Faculty of Science

• 
  Nees Jan van Eck Senior researcher

  Faculty of Social and Behavioural Sciences

• 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.

• 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…

• 
  Rob Tijdeman Professor emeritus

  Faculty of Science

• 
  Joost van den Berg Content Manager

  Faculty of Humanities

• 
  Fatma Çapkurt Assistant professor

  Faculteit der Rechtsgeleerdheid

• 
  Jacqueline Meulman Professor emeritus

  Faculty of Science

• 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

• 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?

• 
  Frank Takes Professor/Director of Education

  Faculty of Science

• 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

• 
  Jaap-Willem Mink Data Steward

  Faculty of Social and Behavioural Sciences

• 
  Cor Veenman Postdoc / guest

  Faculty of Science

• 
  Somayeh Sahebalzamani Guest

  Faculty of Social and Behavioural Sciences