2,524 search results for “data research” in the Public website
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Rationality and politics of algorithms. Will the promise of big data survive the dynamics of public decision making?
Big data promises to transform public decision-making for the better by making it more responsive to actual needs and policy effects. However, much recent work on big data in public decision-making assumes a rational view of decision-making, which has been much criticized in the public administration…
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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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Tools and Data
Tools and Data of the department of Environmental Biology
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Exploring new methods at Research Lab Legal Data Science
How can data analytics be used as a research method in the field of legal research? This question was addressed during the Research Lab Legal Data Science on 23 September, 2016.
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Wouter van LoonSocial & Behavioural Sciences
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Experience Day Data Science & Artificial Intelligence
Study information
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Cor Veenman (NFI) researcher Forensic Big Data Science at LIACS
On December 4th an agreement was signed between the Leiden Institute of Advanced Computer Science (LIACS) and the Netherlands Forensic Institute (NFI). Cor Veenman (NFI) will perform research in the field of Forensic Big Data Science at LIACS.
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Ralph Rippe
Social & Behavioural Sciences
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Software and data for circular economy assessment
This thesis investigates how the assessment of circular economy (CE) at the macro-economic level can be facilitated and promoted.
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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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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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Fatma ÇapkurtFaculty of Law
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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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Big data in archaeology: harnessing the hidden knowledge in the “graveyard” of Malta reports
The goal is to establish an intuitive search and querying service that allows researchers to quickly retrieve the most valuable digital resources, in order to allow them to integrate and synthesise the results into a coherent narrative of the past. The current focus of the project is to implement…
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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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citizens’ participation in public service delivery: the possibilities of data dashboards
Data science offers exciting new instruments for governments to reach out to citizens, for example by using data-driven information channels, providing real-time simulations, or personalizing services based on citizen data. At the same time, the possibilities and use of data science methods can have…
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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…
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European DPC project
In this research project, the protection of personal data is compared in eight EU member states: France, Germany, the UK, Ireland, Romania, Italy, Sweden and the Netherlands. The comparison of the countries is focused on government policies for the protection of personal data, the applicable laws and…
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Danny MekicFaculty of Law
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Gerrit-Jan ZwenneFaculty of Law
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A new era for nature conservation using hyperspectral and lidar data; Oostvaardersplassen as a case study
This project aims to develop advanced data analysis methods for monitoring and increasing our understanding on biodiversity dynamics in nature reserves such as the Oostvaardersplassen.
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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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When data compression and statistics disagree: two frequentist challenges for the minimum description length principle
Promotor: P.D. Grünwald
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Cor VeenmanFaculty of Science
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Nees Jan van EckSocial & Behavioural Sciences
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Julian KarchSocial & Behavioural Sciences
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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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The interpretation of physical activity wearable data and its relation with metabolic and brain health in older adults
Quantifying physical activity (using accelerometers) and combining the frequency and intensity of activities with health data (brain MRI, traditional clinical parameters and metabolomics) is of utmost importance to monitor mobility and health among older individuals and study health promotion during…
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Data in the city: new research projects
The Leiden-Delft-Erasmus Centre for BOLD Cities uses data research to help solve urban issues. Three interdisciplinary research projects will begin soon. Leiden sociologist John Boy explains.
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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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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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Student for a day Data science & Artificial Intelligence
Study information
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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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Matthijs van LeeuwenFaculty of Science
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Tom WilderjansSocial & Behavioural Sciences
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Alan SearsFaculty of Law
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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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Richard GillFaculty of Science
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Jenneke EversFaculty of Law
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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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Integrating data to learn more
Tremendous amounts of data are generated in scientific research each day. Most of this data has more potential than we are using now, says Katy Wolstencroft, assistant professor in bioinformatics and computer science. We just need to integrate and manage it better.
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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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tools for the exchange, analysis and communication of anonymised patient data
This project is a collaboration between Sanquin, LUMC and LIACS. It focuses on the development of meta-modelling methods and tools for the exchange, analysis, and publication of anonymised patient data. Measures are being constructed to evaluate both the level of privacy and the extent to which an anonymized…
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Frank TakesFaculty of Science
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Vincent Croft-Faculty of Science
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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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Leonardo LenociFaculty of Science
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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?