1,111 search results for “hybrid data” in the Public website
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FAIR Principles herald more open, transparent, and reusable scientific data
Today, March 15 2016, the FAIR Guiding Principles for scientific data management and stewardship were formally published in the Nature Publishing Group journal Scientific Data.
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eLaw researchers publish book on EU data protection law
Researchers from eLaw, the Center for Law and Digital Technologies, published a new book on EU data protection law.
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Schuurmans chairs supervisory committee on judicial monitoring of Big Data
A study has been initiated at the instigation of WODC (Scientific Research and Documentation Centre) on the judicial monitoring of big data applications by government. The study is being conducted by TILT (Tilburg Institute for Law, Technology, and Society).
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eLaw students organize lecture by the European Data Protection Supervisor
On Tuesday 11 February, the European Data Protection Supervisor, Mr. Wojciech Wiewiórowski, visited eLaw, - center for Law and Digital Technologies at Leiden Law School to give a lecture on facial recognition systems and data protection in Europe.
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Leiden SPSS project
Data theory research on the analysis on the multidimensional data
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Inaugural lecture: International cooperation in the digital era
This inaugural lecture discusses the question: How to cooperate in the digital era?
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More JAZ in the orchestration of jasmonate-mediated plant defense
Promotor: Prof.dr. J. Memelink
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Using health data for scientific research isn’t that simple
While health data is essential for scientific research, that data also needs to be protected. In her doctoral thesis, Irith Kist found a balance between protecting the individual and exchanging health data.
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H2 steel
What are the possibilities of converting biowaste streams into value added products? What current and future technologies will enable this transition with minimal environmental and economic costs? The researchers in H2 steel project will enable the transition of sewage sludge into green hydrogen, steel…
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Data Carpentry for Social Sciences
OSCL members, amongst which our representative in the Archaeology faculty, were part of Data Carpentry for Social Sciences. Here's what happened.
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Data Economy Conference
On January 31, 2018 the Data Economy Conference will take place in Budapest. The conference is organized by IVSZ within the EuDEco project. It’s going to be an interesting event with many knowledgeable speakers.
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Bart Custers
Faculteit Rechtsgeleerdheid
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Data Management: Where to permanently store the digital archaeological datasets these days?
It is the end of your archaeological research project, and you may be wondering where to deposit your data. After the excavation, all of the finds are drawn, scanned, digitised, and the database is completed. Perhaps you have also accumulated a lot of data through further scientific analysis of the…
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Fuzzy systems and unsupervised computing: exploration of applications in biology
In this thesis we will explore the use of fuzzy systems theory for applications in bioinformatics.
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'Biologists also need to be a bit of a data analyst’
Biologists today have to be able to work with big data. Data analysis skills should be taught from the start of the degree programme, or - even better - in secondary school. This is the message of Vera van Noort, new Professor of Computational Biology. Inaugural lecture 22 January.
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Prevent children becoming victims of a data-driven world
It is becoming increasingly common to collect data from children and young people through digital means. The impact of this so-called ‘dataveillance’ on children, who are monitored from birth via smartphones and Fitbits, is great.
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Antoine Coudard
Science
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Suzanne Marselis
Science
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Robert-jan de Rooij
Faculteit der Sociale Wetenschappen
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Statistical Science
The research programme Statistical Science is concerned with the analysis and interpretation of masses of data, the quantification of uncertainty using probability models, and the development and benchmarking of algorithms and methods with these aims.
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Digital Data: Polycentric Governance Perspectives
On 29 November 2022, Jan Aart Scholte and colleagues presented the project 'Digital Data: Polycentric Governance Perspectives' at the United Nations Internet Governance Forum in Addis Ababa. Click here to find out more about the event.
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Milco Wansleeben
Faculteit Archeologie
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Els Kindt
Faculteit Rechtsgeleerdheid
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Brenda Miranda Xicotencatl
Science
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Joost Visser
Science
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Eleftheria Makri
Science
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Maëlle Picout
Faculteit Rechtsgeleerdheid
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Bram Klievink
Faculty Governance and Global Affairs
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Jan van Rijn
Science
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Jaap van den Herik
Faculteit Rechtsgeleerdheid
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Arno Knobbe in NWO publication 'Experiment NL' on intensive data analysis
Speed skating coach and human movement scientist Jac Orie has been capturing all details about the performance of 'his' skaters for fifteen years. Thanks to data scientist Arno Knobbe, who calculates the collected data in new ways, Orie can train his team even smarter in the run-up to the Olympic Winter…
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Prof. dr. ir. Hai-Xiang Lin working on Data Analytics for Environmental Modelling joins CML
Prof.dr.ir. Hai-Xiang Lin is appointed on 1 March 2015 as part-time professor on Data Analytics for Environmental Modelling at CML on behalf of the R. Timman foundation. He will join the CML-department of Industrial Ecology. He has a position at the Department of Applied Mathematics at the Faculty…
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Risk bounds for deep learning
In this thesis, deep learning is studied from a statistical perspective. Convergence rates for the worst case risk bounds of neural network estimators are obtained in the classification, density estimation and linear regression model.
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Data Management and the Gortyn Project: ‘With great data comes great responsibility’
The world is becoming increasingly digitised, and the information one has easy access to is often rather overwhelming. In particular, the accumulative nature of the archaeological practice has resulted in huge quantities of data being produced. But how to prevent these from becoming dust-collectors…
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‘Using real-world data to enhance our healthcare system’
On 16 May 2022, Professor Michel Wouters from the Department of Biomedical Data Sciences at the Leiden University Medical Centre (LUMC), will deliver his inaugural lecture titled ‘Quality of Cancer Care: why the real world matters’. Wouters will use the opportunity to describe how quality registries…
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Matthijs van Leeuwen: 'I want to teach students responsible data science'
Computer scientist Matthijs van Leeuwen is one of four science faculty members who obtained the Senior Qualification in Education in 2021. What was that like and what drives him? ‘In my own education I would have liked to see more attention paid to the responsibility that machine learning and data mining…
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Tracing Policy-relevant Information in Social Media: The Case of Twitter before and during the COVID-19 Crisis
This paper written by Vydra and Kantorowicz answers the research question ‘What policy-relevant information does Twitter contain?’ as well as the research question ‘How does this information change between a period of normalcy and a period of crisis?’
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Seminar: 'Data Science meets Humanities'
Seminar 12th of April
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Simone van der Hof gives keynote about 'Data Protection and Children's Rights' in Amsterdam
On 15 February 2018, Simone van der Hof gave a keynote lecture entitled 'Data Protection and Children's Rights - the reasoning behind the protective provisions for children in the GDPR' at the International School of Amsterdam conference on Strategic marketing & communications for international scho…
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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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More effective data-driven policymaking
More collaboration, combining data and asking the right questions. These are a few of the recommendations that policymakers and researchers formulated at the conference 'Data gedreven Beleidsontwikkeling' on 28 November 2017.
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Improving football skills using data-mining
Using positional data to determine which tactics lead to a successful attack? Rens Meerhoff, researcher at the Sports Data Center of the Leiden Institute of Advanced Computer Science (LIACS), has been using data-mining to analyse football tactics for several years. In Friesch Dagblad he explains the…
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FAIR Surveys Project
This project aims to contribute to the improvement of documentation and archiving standards (conform the FAIR principles) for systematic Mediterranean archaeological field survey.
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‘Data science has crept into the faculties’ DNA’
From 14 to 29 PhD candidates, seven actively involved faculties and, above all, lots of innovative interdisciplinary research, all with data science as the common denominator. The university’s Data Science Research Programme (DSO) has proven so successful that after five years on a start-up grant it…
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Big data for development and humanitarian action
What do Master Card, the UN High Commissioner on Refugees (UNHCR) and Leiden University have in common? They all work on new sets of guidelines for responsible data use.
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Fighting corona starts with sharing data responsibly
Gathering and distributing patient data can make an important contribution to containing the coronavirus. But if we want to be successful, we need better data. With this objective in mind, Leiden data stewards have joined the Virus Outbreak Data Network (VODAN).
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New paper on: 'Legal Barriers and Enablers to Big Data Reuse: A Critical Assessment of the Challenges for the EU Law'
eLaw colleagues Bart Custers and Helena Ursic have a new publication in the peer-reviewed journal The European Data Protection Law Review.
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Data science course at (water management) Rijkswaterstaat
Nowadays data-driven working is very important within Rijkswaterstaat. A Variety of employees is involved in analyzing the data collected on daily basis by Rijkswaterstaat. The goal is to ensure that we construct an infrastructure in the Netherlands which will be safe, accessible and liveable in the…
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