1,025 search results for “data protection” in the Public website
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Gianclaudio Malgieri co-organised Brussels Privacy Symposium and launched 'VULNERA'
On 15 November in Brussels, the Brussels Privacy Hub and the Future of Privacy Forum held the 6th edition of the 'Brussels Privacy Symposium'. The topic of this year was 'Vulnerable People, Marginalisation and Data Protection'.
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NATO Allies and the Protection of Civilians
In this policy paper, Joachim Koops and Christian Patz are discussing Germany’s comprehensive assessment of Protection of Civilians readiness at the national level.
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Mining and environmental protection in Indonesia
On 24 April, Feby Kartikasari defended the thesis 'Mining and environmental protection in Indonesia: regulatory pitfalls'. The doctoral research was supervised by Adriaan Bedner and Bernardo Ribeiro de Almeida.
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Bart Custers on BBC News about Uber’s Greyballing
In just over a decade, Uber has revolutionised how we move around our cities. The ride-hailing app was a game-changer: you just tapped your phone and a cab would find you. You even paid through the app. However, some of the Uber’s more controversial practices have triggered the interest of law enforcement,…
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Mariëlle Linting
Faculteit der Sociale Wetenschappen
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Els de Busser: cyber security is a precious human endeavour
In Dutch daily Trouw, assistent professor Cyber Security Governance, Els de Busser writes about the importance of good digital safety at companies. Dutch telephone and internet provider KPN is lacking in this respect. ' In Trouw schrijft Els de Busser, universitair docent Cyber Security Governance…
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Inaugural lecture: Data of Value
By comparing individual health data with population data, doctors can provide personalized health advice and patients can learn from each other's experiences. Wessel Kraaij, professor of Applied Data Analytics shows how personal data can have predictive value.
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Publication Helena Ursic en Bart Custers about data reuse
Data reuse and big data: a taxonomy for personal data reuse.
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Guest lecture Wojciech Wiewiórowski, European Data Protection Supervisor
Lecture
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DAMIOSO - data mining on high volume simulation output
Modern computer-aided simulation tools used by various industries produce gigabytes of data. But currently, they take days and even up to weeks of computation effort. To make the best use of all these data, the DAMIOSO project focuses on developing algorithms and tools for managing, mining, and optimizing…
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Data
Data Sets Department of Economics
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Novel Protecting Group Strategies in the Synthesis of Oligosaccharides
The thesis focuses on synthesis strategies in oligosaccharide campaigns, and the influence of protecting groups.
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Governance and Data Science Group
The extensive use of electronic communication channels and other devices has opened new possibilities for collecting data on human behavior. This information is sometimes openly accessible, but largely part of administrative registration systems that are not open to the broader public. The data provides…
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Protective interventions by local elites in early Islamic Egypt
On 13 September 2023 Eline Scheerlinck successfully defended a doctoral thesis and graduated.
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Investor protection : towards additional EU regulation of investment funds?
The expansion of the fund industry has been one of the most notable trends in the financial markets of recent years.
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Exploratory Data Mining in Multimodal data
The change from a closed institution to an open living environment for patients with late stages of dementia will give the patients more freedom in their day-to-day life. The effect of this change on the patients’ mobility, activity and interaction with others will be assessed with sensor technology…
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SAPPAO - Optimizing the flight times of airplanes using data science
The SAPPAO project aims to optimise the accuracy and reliability of predicting scheduled flight times. The full name of the project is 'A Systems Approach towards Data Mining and Prediction in Airlines Operations'.
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Data-Driven Drug Discovery Network (D4N)
The Data-Driven Drug Discovery Network (D4N) is an initiative by researchers from Leiden University and collaborators to join efforts in applying and developing novel techniques from data science to drug discovery and related topics from bioinformatics.
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FAIR data
Open Science means not only sharing final research results but also the underlying data. A main way to do that is by making research data FAIR: Findable, Accessible, Interoperable and Reusable.
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Data Management
LACDR adheres to strict data management rules, with the aim to make our data findable, accessible, interoperable and re-usable. For this reason all LACDR PhD candidates are required to prepare a data management plan and to implement data management rules accordingly. All PhD candidates follow a data…
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Data science
The majority of scientists, from archaeologists through to zoologists, collect enormous volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics and computer science, we can develop algorithms for analyzing…
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Inaugural lecture: Data science and Ebola
Today, everybody and everything produces data. People produce large amounts of data in social networks and in commercial transactions. Medical, corporate, and government databases continue to grow. Sensors continue to get cheaper and are increasingly connected, creating an Internet of Things, and generating…
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Mining Sensor Data from Complex Systems
Promotor: J.N. Kok, Co-Promotor: A.J. Knobbe
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Self-reliance and Social Protection over the Life Cycle
Leiden University, Department of Economics
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The protection of competition interests in administrative law
On Wednesday 13 December 2017 Jaap Wieland defended his doctoral thesis entitled ‘De bescherming van concurrentiebelangen in het bestuursrecht’ (the Protection of Competition Interests in Administrative Law).
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Data Science
The ability to collect and interpret huge quantities of data has become indispensable to society and academia. Leiden University is a knowledge and expertise centre for data science that places the emphasis on interdisciplinary collaboration and innovation.
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Enriching official economic statistics using data-driven modelling techniques
Netherlands Statistics (CBS), Leiden University and the University of Amsterdam have started a collaboration in the form of a research project titled 'Enriching official economic statistics using data-driven modelling techniques'.
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Data Science
The majority of scientists, from archaeologists through to zoologists, collect huge volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics, we can develop algorithms for analysing and identifying patterns…
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Gianclaudio Malgieri, intervened in the Global Privacy Assembly 2022
On October 26, Gianclaudio Malgieri (Associate professor at eLaw) moderated a plenary panel about
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The Power of Knowledge Ethical, Legal and Technological Aspects of Data Mining and Group Profiling in Epidemiology
With the rise of information and communication technologies, large amounts of data are being generated and stored in databases. In order to get a better grip on these large amounts of data, serious efforts are being made to discover patterns and relations in the data with the help of new techniques.…
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Data Use
The project 'Data use, online consumer needs, business strategies and regulatory response' 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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Data based decision making processes in secondary education
How can teachers be motivated by their students’ data in making stepwise changes to their teaching practices?
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Protecting Transnational Critical Information Infrastructure: Vitality, Vulnerability and Diplomacy
This paper, like the seminar on which it is based, considers how the governance of transnational critical information infrastructure (CII) could be approached at the global level. It suggests that when one is thinking about the (potential) governance of CII, it is important to recognise that not all…
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Statistical methods for microarray data
Promotores: J.C. van Houwelingen, S.A. van de Geer
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Effective Protection of Fundamental Rights in a pluralist world
What opportunities and threats flow from the existence of institutional and normative diversity in the area of fundamental rights for the effective protection of those rights in a pluralist world?
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Development of cross-protective influenza A vaccines based on cellular responses
Seasonal influenza vaccines provide protection against matching influenza A virus (IAV) strains mainly through the induction of neutralizing serum IgG antibodies. However, these antibodies fail to confer a protective effect against mismatched IAV. This lack of efficacy against heterologous influenza…
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The Sand Motor - Building with Nature to optimise coastal protection and other ecosystem services
How can mega sand nourishments, such as the Sand Motor, be designed and managed for optimal ecosystem services provision ?
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Reusing data: Bridging the distance between data consumers and producers
Workshop
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Health Data Science
Health research, medical practice and consequently the whole population is increasingly affected by digitization, data science and AI.
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Explainatory Data Analysis
The Explainatory Data Analysis group develops algorithms and theory that enable domain experts to explain data by finding interpretable patterns and models.
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Biometric data appointment
Before your student residence permit can be issued, you must have your biometric data recorded.
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Publish your data
Why should you publish your data? ... and how?
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Gianclaudio Malgieri interviewed on 'Shifting Privacy Left' podcast
Gianclaudio Malgieri, Associate Professor at eLaw, was interviewed by Debra Farber on her Shifting Privacy Left podcast. The Episode was released on 25 June 2024 and is entitled 'Why we need Fairness Enhancing Technologies rather than PETs'.
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Data Analytics and Management
Our group is part of the Metabolomics and Analytics Centre where we accompany the data from its acquisition all the way to the publication of identified associations and biomarkers for a range of human diseases. The generated data of the metabolic measurements are assessed using an in-house quality…
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Scientometrics Using Open Data
Research
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Data Mining and Sports
Collecting data in sports increased in importance the last few years.
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Sport Data Center
Sport Data Center
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Data Management Protocol
The Data Management Protocol is an elaboration of the Leiden University Data Management Regulations for research that takes place within the Leiden Institute of History. It is intended for researchers who are starting a research project and / or researchers who are going to submit a proposal to external…
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Data Science Research Programme
The Data Science Research Programme aims to advance the state of the art in Data Science research and to accelerate the use of Data Science methods at all faculties of Leiden University.
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Data Driven Modeling & Optimization of Industrial Processes
Industrial manufacturing processes, such as the production of steel or the stamping of car body parts, are complex semi-batch processes with many process steps, machine parameters and quality indicators.