892 search results for “data rene” in the Public website
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Phaeton
The Phaeton project creates a ready to use modelling infrastructure that allows data analysis and modeling experts from around the world to jointly create the best performing models rapidly to provide quick, transparent and accurate support to decision makers during a pandemic.
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LIFES: From Reusable Data to New Treatments and Faster Diagnoses
Early diagnosis, new treatments, and personalised care: all of these are possible if we can better unlock the wealth of information hidden in health data. Unfortunately, this data is often poorly organised, difficult to access, and not interoperable. The new international Leiden Institute for FAIR and…
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EuDEco Report on the legal analysis (D2.2)
D2.2 comprises the in-depth legal analysis of the initial heuristic model, focused on addressing, in more detail, the main legal concerns for data reusers in the European data economy. This detailed analysis of the legal propositions presented in D2.1 is supplemented by an analysis of the technological,…
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LIAS Secretariat
The LIAS Office conducts the Institute's administration. Please feel free to stop by for information or assistance.
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Data science can reduce likelihood of virus outbreaks
Data science is of vital importance in preventing future outbreaks of viruses, Professor of Data Science Aske Plaat argues. Inaugural lecture entitled ‘Data Science and Ebola’ on 13 April.
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Robert-Jan de RooijFaculty of Social and Behavioural Sciences
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Mirko Forastiere -
Zihao Yuan -
Bart Custers delivers big data keynote address in Japan
On October 23rd, dr. Bart Custers, associate professor and head of research of eLaw, the Center for Law and Digital Technologies at Leiden Universitty, delivers a keynote address on the big data and law at the International Conference on Big Data Research (ICBDR 2017) in Osaka, Japan
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Growing super legs for the Tour de France with the aid of Leiden data science
Only the fittest cyclists stand a chance of taking yellow in the brutal Tour de France. Team Jumbo-Visma is working with data scientists from Leiden. They have analysed the stages and performance of Jumbo-Visma’s riders in previous Grand Tours. And they are researching how to determine the fitness level…
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Management at Bitvavo had access to customer data for years
Bitvavo managers had access to customer data for years, claiming it was needed to register new customers in the past. In newspaper ‘Financieele Dagblad’, Gerrit-Jan Zwenne, Professor of Law and Digital Technologies, calls this privilege ‘a risky and therefore problematic decision.’
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Start of second group in data science for policy course at Ministry of IenW
On Wednesday, 5 September 2018, the second group of employees of the Ministry of Infrastructure and Water Management (IenW) started the managerial track of the Data Science course given by Leiden University (LCDS).
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Milco Wansleeben -
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Organisation
The programme group Learning and Behaviour Problems in Education is one of the six programme groups within the department of Child and Education Studies at Leiden University.
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Leiden researchers at hackathon data visualization in the House of Representatives
On March 20, 2019, a special meeting took place in the House of Representatives: a hackathon. The aim was to find solutions for better accessibility of the large amounts of information that are produced in the House of Representatives on a daily basis.
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Data science at the Netherlands Tax and Customs Administration
How can data science improve tax administration? Mark Pijnenburg, a senior data scientist at the Netherlands Tax and Customs Administration, decided to investigate this in a dissertation. He talks about his experiences: 'Sometimes a technique is scientifically interesting, but not applicable in real…
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Project SENSYN
Making sensitive data reusable through synthetic data generation
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Cycling like a Jumbo-Visma pro with the Leiden data model
Just like the professional riders from the Jumbo-Visma team, amateur cyclists will soon be able to analyse and improve their performance. Leiden data scientists working with the cycling team are making their smart data model available so that every serious cyclist can keep track of their fitness.
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Growing Up Together in Society (GUTS): Social networks: self-regulation in an increasingly complex social world
How do young adults find their way in an increasingly complex society? In Leiden, as part of the GUTS project, we study how brain development and self-regulation play a role in this process.
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Building a bridge between data science and the social and behavioural sciences
What is the best living environment for dementia patients? To answer this question, Daniela Gawehns is using data mining methods to search through different types of data source. Her research is inadvertently building a bridge between two disciplines that are sometimes somewhat wary of each other.
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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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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 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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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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Does collecting sports images and data breach privacy laws?
Tech company Eyeball collects images and data on young amateur football players on a large scale. But is this allowed? Bart Custers, Professor of Law and Data Science, and Gerrit-Jan Zwenne, Professor of Law and Digital Technologies, comment on the issue in ‘NRC’ newspaper.
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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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Leiden SPSS project
Data theory research on the analysis on the multidimensional data
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Investigating the anti-inflammatory potential of the PRG4 protein in preventing and alleviating rheumatoid arthritis
kiem grant: Investigating the anti-inflammatory potential of the PRG4 protein in preventing and alleviating rheumatoid arthritis
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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 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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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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'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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Data Management Internships for students: Future learning and sustainable preservation of archaeology
Whilst the world is opening up, the teaching will continue in a hybrid form next academic year. During the past year, when all of us were bound to our home offices and computer screens, new forms of education had to be developed – some of which proved to be efficient in preparing the students for their…
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Contact
The LIAS Office conducts the Institute's administration. Please feel free to stop by for information or assistance.
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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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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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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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Peter VerhaarFaculty of Humanities
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Maria-Lucia RebreanFaculteit der Rechtsgeleerdheid
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Mark RoelofsenFaculteit Governance and Global Affairs
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Sarah GiestFaculteit Governance and Global Affairs
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Li-Ru Hsu -
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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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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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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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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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…
