656 search results for “data protection” in the Public website
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Julian Karch
Faculteit der Sociale Wetenschappen
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Discrimination and Privacy in the Information Society; Data Mining and Profiling in Large Databases
Latest technological developments in data mining and profiling.
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National Culture and Africa Revisited: Ethnolinguistic Group Data From 35 African Countries
This study seeks to partially fill the knowledge gap about national culture in Africa, basing its research on data on ethnolinguistic groups (instead of administrative regions).
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Transforming data into knowledge for intelligent decision-making in early drug discovery
Promotor: A.P.IJzerman Co-promotor: A. Bender
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Microbes protect crops from microbes
Farmers do not love them all. Microbes can cause tragic consequences for crops. Even the presence of just one pathogenic fungus or bacterium can drastically reduce yields. Still, there are exceptions. In that case, a pathogenic microbe is present in the soil, but does not cause any harm. Adam Ossowicki…
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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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Sport Data Center
Sport Data Center
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RISIS – Research infrastructures for the assessment of science, technology and innovation policy
The RISIS project aims at creating a distributed research infrastructure to support and advance science and innovation studies. This will give the field a strong scientific push forward, and at the same time, provide a radically improved evidence base for research and innovation policies, for research…
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Suzy Duivenvoorde
Faculteit Rechtsgeleerdheid
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analysis of cultural landscapes through remote and close range sensing data
What workflow of non-destructive techniques provides accurate, valuable data to improve our understanding of Caribbean archaeological landscapes? How were Amerindian settlements configured?
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Automated machine learning for dynamic energy management using time-series data
Time-series forecasting through modelling sequences of temporally dependent observations has many industrial and scientific applications. While machine learning models have been widely used to create time-series forecasting models, creating efficient and performant time-series forecasting models is…
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Richard Gill
Science
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Max van Haastrecht
Science
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Jacq Meulman
Science
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Rob Tijdeman
Science
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Somayeh Djafari
Faculteit Rechtsgeleerdheid
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Jenneke Evers
Faculteit Rechtsgeleerdheid
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Simon van Lierde
Science
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Bastienne Vriesendorp
Science
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Barend Mons
Faculteit Geneeskunde
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Omics data integration with genome-scale modelling of dopaminergic neuronal metabolism
Parkinson's disease is the second most common neurodegenerative disease in the world. One of its symptoms is the loss of dopaminergic neurons in the substantia nigra pars compacta.
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Lone Actor Terrorist Attack Planning and Preparation: A Data‐Driven Analysis
This article provides an in‐depth assessment of lone actor terrorists’ attack planning and preparation.
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Teachers' use of progress data in planning and evaluating instruction for students with learning disabilities
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Niki van Stein
Science
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Matthijs van Leeuwen
Science
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Tom Wilderjans
Faculteit der Sociale Wetenschappen
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Decision-free municipality administration causes loophole in legal protection
Municipalities are increasingly attempting to solve problems without issuing decisions. A notification procedure (notification – investigation – application – decision) has recently been introduced that replaces part of the traditional application procedure. Ymre Schuurmans, Professor of Constitutional…
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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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Robots and our data: opportunity or danger?
Self-driving cars, surgery robots, and stock market algorithms: the use of robots and Artificial Intelligence (AI) is rapidly increasing. What are the opportunities for this development, and what the dangers? The Honours Class ‘Robot Law: Regulating Robot and AI Technologies’ prepares students for the…
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Strengthening the child protection system in Kosovo
On Thursday the 3rd of March 2016, Professor Bruning welcomed a delegation from the government of the Republic of Kosovo, within the framework of the Matra-project ‘Protecting Children in Kosovo: from Policy to Practice’.
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ultimate leadership challenge: making critical decisions without enough data
The coronacrisis is emerging as the ultimate test for political leaders. How do national political leaders get ahead or behind ‘the curve’ of fast-changing dynamics. Martin Lodge (London School of Economics and Political Science) and Arjen Boin (Leiden University Institute of Political Science) look…
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Are workers' rights sufficiently protected in America?
This question was discussed on the Dutch NPO Radio 1 broadcast with Barend Barentsen, Professor of Labour Law. On 4 September, Americans celebrate Labor Day, a day on which the hard-working American takes centre stage.
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Rijpma at ICMPD Webinar “Protecting the Right to Protection in times of COVID-19”
On 22 June the International Centre for Migration Policy Development (ICMPD) organised a webinar on the challenges that have arisen for asylum seekers and refugees worldwide as a result of the COVID-19 crisis.
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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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Data science and sports: a winning combination
Athletes always strive for the top. How can data scientists assist them in improving their performance? During the seminar Data Science and Sports, the possibilities and challenges of collaboration between these two worlds were discussed.
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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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Staying healthy with big data
By analysing the metabolism using big data techniques, we can identify health risks at an earlier stage. Thomas Hankemeier, professor of Analytical Biosciences at the Leiden Academic Centre for Drug Research, explains how that works.
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Flashing lights protect livestock from lions
Farmers on the outskirts of Nairobi National Park protect their livestock using flashing lights on top of the animal enclosures. This system keeps lions away at night. Leiden research has shown that the method is both simple and effective. Publication in PLOS ONE.
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Applications of multisource data-based dynamic modeling to cell-cell signaling and infectious disease spreading
The emergence of complex diseases resulting from abnormal cell-cell signaling and the spread of infectious diseases caused by pathogens are significant threats to humanity. Unraveling the dynamic mechanisms underlying cell-cell signaling and infectious disease spreading is crucial for effective disease…
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EuDEco case study report (D1.3)
D1.3 describes a set of five case studies relevant in the context of the EuDEco project. Case studies are considered relevant if they are initiatives focusing on the promotion of big data and data reuse or pilots facilitating data reuse in one form or the other. The case studies were expected to allow…
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Can Chinese legislation on informational privacy benefit from European experience?
What is a good data protection law? How does a good data protection law evolve? Is European data protection law a good one? And whether the European data protection applicable to China?
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Personalized Predictions for Migraine and Stroke from E-Health Sensor Data
The research of this PhD project can be subdivided into two main disease areas: migraine and stroke. For both we will be investigating how artificial intelligence (AI) and machine learning (ML) techniques can be used to study these afflictions, their (early) detection, and their potential treatment.
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Emile Cammeraat
Faculteit Rechtsgeleerdheid
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Peggy Bracco Gartner
Faculteit Rechtsgeleerdheid
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Nina van Capelleveen
Faculteit Rechtsgeleerdheid
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Rajneesh Phokeer
Faculteit Rechtsgeleerdheid
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transient reductions in the speed of sound of the inflaton in cosmological data, and other topics
Promotor: Prof.dr. A. Achucarro
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Wessel Kraaij appointed Professor of Applied Data Analytics
Wessel Kraaij has been appointed Professor of Applied Data Analytics with effect from 1 March 2016. Kraaij will use new methods to analyse big data sets. He intends to use data from various data-intensive research fields to test these methods in practice.
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Making policy with big data
Governments have increasing amounts of data at their disposal. How can big data be used in policymaking? And are governments ready to deal with all this data? That is what Sarah Giest, Assistant Professor at the Institute of Public Administration, is interested in.
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Big data on a small scale
Mirjam van Reisen favours big data built up from local inputs in developing countries and suitable for local use. The new Professor of Computing for Society at Leiden's Faculty of Science connects data science with development sociology. Inaugural lecture 10 March.