672 search results for “data protection” in the Public website
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Tools and data
Overview of CML software and data
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Bioinformatics Data analytics Computational Biology
LUMC Technology Focus Area (TFA) Data Analytics is een samenwerkingsverband van verschillende onderzoeksgroepen in het LUMC die nieuwe kwantitatieve en computationele methodologie ontwikkelen voor biomedisch en klinisch onderzoek.
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landscape and spatial justice: new legal perspectives on heritage protection in the Lesser Antilles
This dissertation presents a legal geographical analysis of the heritage laws of the independent English-speaking islands of the Lesser Antilles.
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Robust Estimation using Aggregated Data for Urban policy making (READ-URBAN)
Read-Urban was a first project to investigate whether policy recommendations can be made with the aid of linked data collections and data science and to gain experience with the success factors for such a process.
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Rational Design of Athero-Protective Vaccines; Novel Vaccine Formulations and Alternative Routes of Administration
Atherosclerosis is a chronic inflammatory disease affecting millions of people world-wide.
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Data science for tax administration
In this PhD-thesis several new and existing data science application are described that are particularly focused on applications for tax administrations.
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Statistical learning for complex data to enable precision medicine strategies
Explaining treatment response variability between and within patients can support treatment and dosing optimization, to improve treatment of individual patients.
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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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UN, EU, and NATO Approaches to the Protection of Civilians: Policies, Implementation, and Comparative Advantages
The protection of civilians (POC) in armed conflict has become a core strategic objective for the United Nations system and for UN peace operations in particular. The UN, however, is not the sole actor engaged in POC.
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CEEDs, the Collective Experience of Empathic Data Systems
The Collective Experience of Empathic Data Systems (CEEDs) consortium developed novel integrated technologies that support experiencing, analysing and understanding of very large datasets.
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Lunch Seminar: Data Localization as a Data Sovereignty in Nigeria's Digital Policy Landscape
On Monday 6 May, GTGC guest researcher Joohyun Baik presented her research on 'Data Localization as a Data Sovereignty in Nigeria's Digital Policy Landscape'.
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Handbook of Governance and Data Science
Edward Elgar
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Leiden: Silicon Valley of FAIR data
If researchers make their data FAIR, computers can link large quantities of data and identify patterns, thus greatly accelerating the process of arriving at new insights. In Leiden, the birthplace of ‘FAIR data’, Professor Barend Mons explains the meaning of this term.
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Health Data Science special interest group
Health Data Science Leiden University
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Statistical modelling of time-varying covariates for survival data
This dissertation focuses on developing new mathematical and statistical methods to properly represent time-varying covariates and model them within the context of time-to-event analysis.
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Missing data procedures in multivariate analysis
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Bibliometric Data Sources and Indicators 2024
Research
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Faithful Protection: The Use of Scripture in Egyptian Amulets (7th – 12th Century CE)
A selected group of unpublished amulets from various collections in the world will be studied and edited.
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Data Centres for Natural Recources and Products
Creating information portals for support of European environmental policy.
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Resampling Methodology for Longitudinal Data Analysis
How does the cluster bootstrap procedure in combination with various types of linear models perform in the analysis of longitudinal data, compared to other methods.
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Using data to improve sports performances
‘Tell me something I don’t know,’ said skating coach Jac Orie to Leiden data scientist Arno Knobbe. And he did. Knobbe and his colleagues now assist athletes in all kinds of ways with the help of data mining.
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Data Science and Artificial Intelligence (BSc)
The focus of the Bachelor Data Science & Artificial Intelligence is on computer science, and its applications in Artificial Intelligence. You will receive a strong basis in mathematics, statistics and computer science, combined with advanced knowledge of machine learning, cognitive science, human-robot…
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Laura Zwep
Science
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Peter Grünwald
Science
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Marta Fiocco
Science
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Gino Bertrand Kpogbezan
Science
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Kevin Duisters
Science
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Jelle Goeman
Faculteit Geneeskunde
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Thijs Bos
Science
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Converting cultural heritage into usable data
How can we make the information in handwritten historical research reports accessible and searchable? Data scientists at Leiden University are working with other universities on a method that will improve access to cultural heritage.
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Data-driven donation strategies: understanding and predicting blood donor deferral
The research in this dissertation aims to optimise blood donation processes in the framework of the Dutch national blood bank Sanquin. The primary health risk for blood donors is iron deficiency, which is evaluated based on donors' hemoglobin and ferritin levels.
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Pieter Kroonenberg
Faculteit der Sociale Wetenschappen
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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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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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Multi-dimensional feature and data mining
In this thesis we explore machine and deep learning approaches that address keychallenges in high dimensional problem areas and also in improving accuracy in wellknown problems. In high dimensional contexts, we have focused on computational fluid dynamics (CFD) simulations.
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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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The International Legal Protection of Environmental Refugees. A human rights-based, security and State responsibility approach
On 7 May 2020, Jolanda van der Vliet defended her thesis 'The International Legal Protection of Environmental Refugees. A human rights-based, security and State responsibility approach'. The doctoral research was supervised by Prof. N.J. Schrijver and Prof. J.J.C. Voorhoeve.
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Core rights and the protection of socio-economic interests by the European Court of Human Rights
The ECtHR needs to provide effective rights protection, but it also needs to set clear standards while showing deference to decisions made at the national level. Especially when socio-economic issues are concerned, meeting these different demands is a challenging task.
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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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Tools and Data
Tools and Data of the department of Environmental Biology
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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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Johannes Schmidt-Hieber
Science
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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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personnel allocation affects performance:Evidence from Brazil's federal protected areasagency
This paper addresses the gap that explores how agencies might allocate their personnel so as to maximise performance with the personnel they have.
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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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Wessel Kraaij
Science
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Mathijs Deen
Faculteit der Sociale Wetenschappen
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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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OSCoffee: Making data reusable in the social sciences
Lecture
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Countering Lone Actor Terrorism: Data Collection & Analysis
This project aims to improve understanding of, and responses to, the phenomenon of lone actors through analysis of comprehensive data on cases from across Europe.