794 search results for “data rol” in the Public website
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Laura ZwepFaculty of Science
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Legal and policy aspects of space big data
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.
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Workshop: How to write a Data Management Plan (DMP)
Workshop
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Workshop: How to write a Data Management Plan (DMP)
Workshop
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LABDA (Learning Network for Advanced Behavioural Data Analysis)
Understanding how data derived from wearable technology can be used to identify effective changes in behaviour that are likely to result in health improvements
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Wessel KraaijFaculty of Science
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Data-driven Predictive Maintenance and Time-Series Applications
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.
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Applied statistics as a pillar of 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…
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Accountability and data-driven urban climate governance
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.
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Knowledge Discovery and Data Mining from patient experience repositories
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.
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A large-scale crop protection bioassay data set
ChEMBL is a large-scale drug discovery database containing bioactivity information primarily extracted from scientific literature.
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Interaction with sound for participatory systems and data sonification
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.
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Data Atlas of Byzantine and Ottoman Material Culture
Archiving Medieval and Post-Medieval Archaeological Fieldwork Data from the Eastern Mediterranean (600-2000)
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Matthijs van LeeuwenFaculty of Science
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Gerrit-Jan ZwenneFaculteit der Rechtsgeleerdheid
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Danny MekicFaculteit der Rechtsgeleerdheid
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Exploring big data approaches in the context of early stage clinical
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 NefsFaculty of Social and Behavioural Sciences
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Sarah PlukaardFaculty of Social and Behavioural Sciences
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Data use, online consumer needs, business strategies and regulatory response
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.
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Deep learning for tomographic reconstruction with limited data
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.
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Accessing End-Of-Supply Risk of Spare Parts Using Big Data
How to access the end-of-supply risk of spare pares using big data analytics
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Richard GillFaculty of Science
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Data mining and algorithm development
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…
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Vincent CroftFaculty of Science
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Nees Jan van EckFaculty of Social and Behavioural Sciences
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EU privacy and data protection law applied to AI
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.
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VODAN Africa – FAIR Covid-19 Data across Africa and Asia
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…
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Based Clustering of Objects on Subsets of Attributes in High-Dimensional Data
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.
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Rob TijdemanFaculty of Science
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Joost van den BergFaculty of Humanities
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The flux and flow of data: connecting large datasets with machine learning in a drug discovery envirionment
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…
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Fatma ÇapkurtFaculteit der Rechtsgeleerdheid
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Jacqueline MeulmanFaculty of Science
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Data-Driven Machine Learning and Optimization Pipelines for Real- World Applications
Machine Learning is becoming a more and more substantial technology for industry.
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Design and development of a comprehensive data management platform for cytomics: cytomicsDB
Promotor: J.N. Kok, Co-promotor: F.J. Verbeek
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Stacked Domain Learning for multi-domain data: a new ensemble method
The aim of this project is to develop accurate but interpretable ensemble learning methods for high-dimensional multi-domain data.
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Psychology Connected over de rol van onze biologische klok in depressie
Begin oktober vond de eerste Psychology Connected van dit nieuwe academische jaar weer plaats. Met de vallende herfstbladeren voelen velen zich ook somberder. Onderzoekers delen hoe je een winterdepressie verzacht, en hoe je als ouder het beste kunt omgaan met de depressieve klachten van je kind.
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Annemarie Samuels in podcast 'Boldcast' over de veranderende rol van de bibliotheek
Episode 5 of BOLDcast, the podcast of the Leiden-Delft-Erasmus Centre for BOLD Cities, discusses the evolution of libraries from simple lending points for books to places where people can come together and brush up on their digital skills. The guests in this episode are Frank Huysmans, associate professor…
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Eric De Brabandere over rol EU in kwestie rond Westelijke Sahara
Marokko zegt het contact met de Duitse regering op. Volgens Marokkaanse media is ministeries en andere overheidsinstanties per brief gevraagd direct de samenwerking op te schorten met de Duitse ambassade in Marokko.
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Understanding Homicide in Indonesia: Harnessing Traditional and New Media Data for Insight
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?
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Frank TakesFaculty of Science
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Modelling the dynamics of the innovation process: a data-driven agent-based approach
Promotor: Prof.dr. B.R. Katzy, Co-promotor: R. Ortt
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Jaap-Willem MinkFaculty of Social and Behavioural Sciences
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Cor VeenmanFaculty of Science
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Somayeh SahebalzamaniFaculty of Social and Behavioural Sciences
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Bastienne VriesendorpFaculty of Science
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Jeremy MenzerFaculty of Archaeology
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Visual analytics for spatially-resolved omics data at single cell resolution: Methods and Applications
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…
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the automated detection of archaeological objects in remotely sensed data
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…
