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1,328 search results for “data role” in the Public website

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

  Study information

• 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)

• 
  Matthijs van Leeuwen Professor / Director of Education

  Faculty of Science

• 
  Gerrit-Jan Zwenne Professor Law and Digital technologies

  Faculteit der Rechtsgeleerdheid

• 
  Danny Mekic External PhD candidate

  Faculteit der Rechtsgeleerdheid

• 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.

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  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

• Transforming data into knowledge for intelligent decision-making in early drug discovery Research output

  Promotor: A.P.IJzerman Co-promotor: A. Bender

• The role of water in hydrogen electrocatalysis Research output

  Promotor: M.T.M. Koper, Co-promotor: L. Juurlink

• The Role and Effectiveness of the G20 Research output

  The Role and Effectiveness of the G20. In this article, published in The Changing Global Order part of the United Nations University Series on Regionalism book series, author Jaroslaw Kantorowicz discusses the evolution of the G20.

• The role of trust in economic decisions Research project

  What are the essential determinants of (dis)trust? And, what are the effects of being (dis)trusted?

• 
  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…

• 
  Jiaxin Zhang PhD candidate / contract

  Faculty of Science

• Role of integrin adhesions in cellular mechanotransduction Research output

  Promotor: B. vd Water, T. Schmidt, Co-Promotor: E.H.J. Danen

• 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.

• 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…

• 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.

• 
  Rob Tijdeman Professor emeritus

  Faculty of Science

• 
  Joost van den Berg Content Manager

  Faculty of Humanities

• 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…

• 
  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.

• Playing a role – but which one? Research output

  How public service motivation and professionalism affect decision-making in dilemma situations. Individuals who work in the public sector see themselves confronted with conflicting values, contradictory demands, and the need to serve an at times difficult to define ‘public interest’.

• 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?

• The role of the Arabidopsis AHL15/REJUVENATOR gene in developmental phase transitions Research output

  This thesis describes the functional analysis of the Arabidopsis AHL15 gene.

• 
  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

• Unexpected data are good for business News - 26 January 2017

  Data play an important role in any organization. More and more data are available about products, about production processes and about customers. At the annual LIACS Business Event on Wednesday 18 January, the central message was how to find irregularities in Big Data, and how it can help you to track…

• 
  Somayeh Sahebalzamani Guest

  Faculty of Social and Behavioural Sciences

• 
  Bastienne Vriesendorp Lecturer

  Faculty of Science

• 
  Jeremy Menzer Postdoc

  Faculty of Archaeology

• The role of the interleukin 12 family in atherosclerosis Research output

  Promotor: Prof.dr. J. Kuiper, Co-promotor: Saskia C.A. de Jager

• 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…