1,130 search results for “hybrid data” in the Public website
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Structural Health Monitoring Meets Data Mining
Promotor: Prof.dr. J.N. Kok, Co-promotor: Dr. A.J. Knobbe
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Data Breaches and Effective Crisis Communication: A Comparative Analysis of Corporate Reputational Crises
Online data breaches are recurrent and damaging cyber incidents fors organizations worldwide. This study examines how organizations can effectively mitigate reputational damages in the aftermath of data breaches by hacking, through situational crisis communication strategies.
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Nanodata – Data providing services in support of research and policy in the field of nanosciences and nanotechnologies
This project, commissioned by DG Research and Innovation, aims to provide information for policies that lead to the creation and improvement of the conditions which will allow researchers and European industries to safely master the properties of nanomaterials and to innovate with nanotechnology.
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Data Science for State-of-the-Art Blood Banking (BloodStart)
There are around 300,000 people in the Netherlands who donate blood on a regular basis. Women can give blood up to three times a year and men up to five times, resulting in approximately one million blood donations each year. Patients that receive this donated blood are already in a vulnerable condition,…
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Hybrid zones: a quick guide by Ben Wielstra
Ben Wielstra studies hybrid zones, regions in which distinct populations of organisms meet, mate and produce genetically admixed offspring. In the journal Current Biology, he introduces hybrid zones in an accessible way.
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Jelle Goemanj.j.goeman@lumc.nl | 071 5269700
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Interested in sustainable innovation and data?
Are you curious about how science and technology contribute to a sustainable and innovative future? At Leiden University, you’ll explore the world of data, natural laws and living systems. From mathematics to artificial intelligence, from climate challenges to high-tech innovation: you’ll learn to analyse…
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Interested in sustainable innovation and data?
Are you curious about how science and technology contribute to a sustainable and innovative future? At Leiden University, you’ll explore the world of data, natural laws and living systems. From mathematics to artificial intelligence, from climate challenges to high-tech innovation: you’ll learn to analyse…
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Marta Fioccom.fiocco@math.leidenuniv.nl | 071 5277144
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Tools and Data
Tools and Data of the department of Environmental Biology
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Essays on wealth, health, and data collection
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.
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Featured Review | Hybrid Diplomacy with NGOs: The Italian Formula
Raffaele Marchetti (2021). Hybrid Diplomacy with NGOs: The Italian Formula. Cham: Palgrave Macmillan. ISBN 978-3-030-86869-7, 135 pp., €46.00 (eBook).
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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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Hybrid conference on animation in the Middle Ages
From 16 to 19 September 2021 a hybrid conference will take place on animation in the Middle Ages. This conference is a cooperation between the University of Bergen (Norway) and the A. Zelwerowicz National Academy of Dramatic Art in Warsaw, Branch Campus in Bialystok (Poland).
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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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Hybrid Intelligence: Making the unknown visible for Humans and AI
A consortium made up of Leiden University (Institute of Public Administration/Digitalisation & Public Policy, Bram Klievink, Sarah Giest, Bart Schermer), VU (Professor Fabio Massacci), TU Delft, TNO, and Thales has been awarded a NWO grant of 1.5 million euros. This research project looks into the ‘metadata…
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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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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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Mexican drugs world pans out into hybrid war
Drugs-related violence in Mexico is similar in terms of dynamics and strategy to the IS hybrid war in the West. This is the claim made by Teun Voeten. PhD defence 20 September.
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Laura Zwepl.b.zwep@lacdr.leidenuniv.nl | 071 5272727
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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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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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Hybrid fieldwork: from emergency solution to research enrichment
You have prepared a research project, put together a plan, and you are ready to travel to the country where you will be conducting your fieldwork. What do you do when Covid suddenly makes that impossible? Nadia Sonneveld was forced to relocate her project Living on the Other Side to a hybrid form: ‘It…
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Resolving a bioindicator diatom species complex using genomic approaches for freshwater biomonitoring
This thesis pioneers diatom molecular identification and quantification through genome-scale methods, with four key aims: (i) reviewing DNA/RNA sequencing methods in aquatic biomonitoring to highlight their strengths and limitations;
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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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Matthijs van Leeuwenm.van.leeuwen@liacs.leidenuniv.nl | 071 5277048
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Danny MekicFaculteit der Rechtsgeleerdheid
d.mekic@law.leidenuniv.nl | 071 5272727
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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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Kat Stewartk.a.stewart@cml.leidenuniv.nl | 071 5272727
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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 Gillgill@math.leidenuniv.nl |
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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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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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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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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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Nees Jan van EckFaculty of Social and Behavioural Sciences
ecknjpvan@cwts.leidenuniv.nl | 071 5276445
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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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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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Joost van den BergFaculty of Humanities
j.h.van.den.berg@hum.leidenuniv.nl | 071 5278509
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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