1,390 search results for “media data” in the Public website
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Information activities
Get to know us through our online and in-person events for prospective students!
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When data compression and statistics disagree: two frequentist challenges for the minimum description length principle
Promotor: P.D. Grünwald
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Sybille LammesFaculty of Humanities
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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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Approvals.” Why Ministries of Foreign Affairs So Often Fail at Social Media
“The first thing to know is…we don’t post anything without approvals,” the lead social media manager at the French Ministry of Foreign Affairs (MFA) explained after I asked about the MFA’s social media processes. [1]
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Wouter van LoonFaculty of Social and Behavioural Sciences
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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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Oliver TuazonFaculteit der Rechtsgeleerdheid
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Laura ZwepFaculty of Science
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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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Conspiracy thinking and social media use are associated with ability to detect deepfakes
Deepfakes are videos that have been manipulated to replace one person’s likeness with that of another. They can be difficult to distinguish from authentic videos. In our study, we found that people who score high on conspiracy thinking and people who use social media more are better at distinguishing…
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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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Wessel KraaijFaculty of Science
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News in a Glasshouse: Media, Publics, and Senses of Belonging in the Dutch Caribbean
On the 23d of May, Sanne Rotmeijer successfully defended a doctoral thesis. The Leiden University Centre for Linguistics congratulates Sanne on this achievement!
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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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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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To foreignize or to domesticate? How media vary cross-nationally in their degrees of incorporating foreign events
The authors delve into the varying degrees to which institutions across different nations connect foreign events to their respective country's domestic affairs.
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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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Harold NefsFaculty of Social and Behavioural Sciences
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Sarah PlukaardFaculty of Social and Behavioural Sciences
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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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Daisy SmeetsFaculty of Social and Behavioural Sciences
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Peter VerhaarFaculty of Humanities
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Imagining Urban Complexity. A Humanities Approach in Tropes, Media, and Genres
Imagining Urban Complexity introduces passionate and critical perspectives on the link between the humanities and urban studies.
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Ksenia FedorovaFaculty of Humanities
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Twan Huys lecturer Journalism and New Media
Television presenter and journalist Twan Huys will be a lecturer in Journalism and New Media at Leiden University from 1 September 2024.
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The magic of projection : augmentation and immersion in media art
Sophie Ernst’s doctoral thesis is an artist’s contribution to media art theory.
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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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Richard GillFaculty of Science
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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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Legal tips for social media influencers
On 11 January 2019, Maastricht University and the University of Groningen hosted a workshop on the regulation of social media influencers.
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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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Nees Jan van EckFaculty of Social and Behavioural Sciences
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Vincent CroftFaculty of Science
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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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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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Siamak AnvaritutunchiFaculty of Humanities