3,717 search results for “data” in the Public website
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Open-world Continual Learning via Knowledge Transfer
This thesis investigates Open-world Continual Learning (OWCL), a learning paradigm designed for intelligent systems operating in non-stationary environments with persistent exposure to unknown data.
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Milco WansleebenFaculty of Archaeology
m.wansleeben@arch.leidenuniv.nl | 071 5272930
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Publishing Data in a Data Repository
Workshop
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Leonardo LenociFaculty of Science
l.lenoci@science.leidenuniv.nl |
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New Dutch Open Government Act: frequently deleting data history now out of the question
After more than ten years, the time has come. The new Dutch Open Government Act (Wet Openbaar Overheid, Woo) will take effect on 1 May 2022. The Woo replaces the Government Information (Public Access) Act (Wob). The aim of the Act is to get administrative bodies of the government in the Netherlands…
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Working with datasets that are larger than the entire university
Radio telescope LOFAR maps the sky. It produces incredibly detailed images of the universe - and vast amounts of data. Huub Röttgering, director of the Leiden Observatory, talks about the challenges of working with those enormous datasets.
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Bram KlievinkFaculty of Governance and Global Affairs
a.j.klievink@fgga.leidenuniv.nl | 070 8009486
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Elise DusseldorpFaculty of Social and Behavioural Sciences
elise.dusseldorp@fsw.leidenuniv.nl | 071 5278046
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Hai LinFaculty of Science
h.x.lin@cml.leidenuniv.nl | 071 5277460
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Eleftheria MakriFaculty of Science
e.makri@liacs.leidenuniv.nl | 071 5272727
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Joost VisserFaculty of Science
j.m.w.visser@liacs.leidenuniv.nl | 071 5272727
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SCALES project
How to strike a balance between the sometimes conflicting stakes of individual, public and private data-producers and data-processors?
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New project on maintenance prediction for industries
With the use of big data, Leiden University is aiming to develop a system that sends automatic alerts when certain Industrial parts are starting to wear out. Researchers of the the Leiden Institute of Advanced Computer Science (LIACS) are developing a predictive maintenance platform together with, among…
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Robust rules for prediction and description.
In this work, we attempt to answer the question:
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Empirical signatures of universality, hierarchy and clustering in culture
In this thesis,
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Connect & Open Up: Evolution of a researcher's data management practices: from data hazard to data steward
Webinar
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United Nations Fellowship awarded to Statistics PhD Kevin Duisters
United Nations Global Pulse, an initiative of the UN Secretary-General on big data and AI, recently launched the Data Fellows program. Kevin Duisters, PhD in Statistics at the Mathematical Institute, was selected to take part in its first cohort of eight international students.
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Bart Custers gives conference lecture at ICBDSC in Casablanca
On January 5th 2018, dr. Bart Custers, associate professor and head of research of eLaw, the Center for Law and Digital Technologies at Leiden University, will give a conference lecture on the (monetary) value of personal data at the International Conference on Big Data and Smart Computing (ICBDSC 2018)…
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Connect & Disclose the use of generative AI with the FAIR AI Attribution (FAIA) framework
Webinar with Q&A
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Research project NET-ROL
The NET-ROL project builds on the EU's definition of the rule of law to investigate the role of networks in law-making, executive decision-making, and the judiciary. It examines how these networks influence the weakening of the rule of law. Through an interdisciplinary perspective, the project explores…
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Scientometrics Using Open Data
Research
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Brenda Miranda XicotencatlFaculty of Science
b.miranda.xicotencatl@cml.leidenuniv.nl | 071 5272727
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Dirk van der HoevenFaculty of Science
d.van.der.hoeven@math.leidenuniv.nl | 071 5277146
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Nina BaranowskaFaculteit der Rechtsgeleerdheid
n.n.baranowska@law.leidenuniv.nl | 071 5272727
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Shivant JhagroeFaculty of Governance and Global Affairs
s.s.jhagroe@fgga.leidenuniv.nl | 070 8009904
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The Rome Hinterland Project
This project aims to integrate three of the largest survey databases in the Mediterranean to study the impact of the megalopolis Rome on its direct hinterland.
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How can humans and machines collaborate in a meaningful way in a restrictive environment?
In this project, researchers from computer science, law, psychology, and public administration research in practice how artificial intelligence (AI) can be leveraged to make decision-making in the security domain more effective, while also keeping it safe and accountable.
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Artificial intelligence to extend, not replace human capabilities
Computers are increasingly able to accomplish tasks that are difficult for human experts, such as diagnosing diseases or detecting credit card fraud. While the earliest examples of computational thinking can be traced back to the 13th century, according to Holger Hoos, Leiden Professor of Machine Learning,…
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Jaap van den HerikFaculteit der Rechtsgeleerdheid
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Making energy personal: policy coordination challenges in UK smart meter implementation
Governments are increasingly facilitating the roll-out of so-called “smart meters”, a technology for measuring energy consumption that are able to transmit and receive data using a form of electronic communication. However, implementation has been slow or even stalled.
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Vlad Niculescu-DincaFaculty of Governance and Global Affairs
v.niculescu-dinca@fgga.leidenuniv.nl | +31 70 800 9573
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Sterre ter HaarFaculty of Science
s.f.ter.haar@cml.leidenuniv.nl | +31 71 527 2727
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Tanja HendriksFaculty of Governance and Global Affairs
t.d.hendriks@fgga.leidenuniv.nl | 070 8009500
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Els KindtFaculteit der Rechtsgeleerdheid
e.j.kindt@law.leidenuniv.nl | 071 5278838
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Gianclaudio MalgieriFaculteit der Rechtsgeleerdheid
g.malgieri@law.leidenuniv.nl | 071 5278838
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Júlia García PuigFaculty of Governance and Global Affairs
j.garcia.puig@fgga.leidenuniv.nl | 0623822177
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Ahlam el Barnoussi-el MhamdiFaculteit der Rechtsgeleerdheid
a.el.barnoussi@law.leidenuniv.nl | 071 5272727
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Screening enormous databases to find a cure for cancer
Pharmaceutical research should make more use of data science, says Gerard van Westen, postdoctoral fellow at the Leiden Academic Centre for Drug Research (LACDR). ‘If we want to have better drugs, we should start with data.’
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Massively collaborative machine learning
Promotor: J. N. Kok, Co-promotor: A. J. Knobbe
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X-ray spectroscopy of merging galaxy clusters
This thesis focuses on the X-ray spectral analysis of merging galaxy clusters and the plasma code development for future high-resolution X-ray spectroscopy observations.
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Don't Blink: Detecting transiting exoplanets with MASCARA
This thesis describes the Multi-site All-Sky CAmeRA (MASCARA), which consists of two small robotic telescope designed to detect exoplanets around the brightest stars in the sky.
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Analysing diseases through interactive visual interfaces
Alzheimer’s disease and cancer are two examples of diseases that are related to malfunctioning cellular patterns. The examination of cell tissue, however, takes a lot of time and generates a lot of data. To make the analysis of data easier, Antonios Somarakis of the Data Science Research Programme (DSRP)…
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Danny Mekić staat weer tegenover X in de rechtbank
Twee jaar geleden klaagde promovendus Danny Mekić het socialmediaplatform X aan, omdat zijn account, zonder toelichting, onvindbaar werd gemaakt. Hij kreeg gelijk van de rechter, maar X verzet zich ertegen: ‘Twitter wil niet transparant zijn.’
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Développement phonético-phonologique en fulfulde et bambara d’enfants monolingues et bilingues : étude du babillage et des premiers mots
Cette étude montre que le développement phonético-phonologique en fulfulde et bambara est à la foiscomparable au développement langagier dans d’autres langues du monde et influencé par les caractéristiques phonétiques et phonologiques de ces deux langues notamment au niveau de la phonotaxe.
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Daniela GawehnsFaculty of Science
d.gawehns@liacs.leidenuniv.nl | 071 5272727
- Science Coffee in International Data Week: pilots for preparing, publishing and monitoring Leiden research data
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Ralph Rippe
Faculty of Social and Behavioural Sciences
rrippe@fsw.leidenuniv.nl | 071 5273889
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Jan van RijnFaculty of Science
j.n.van.rijn@liacs.leidenuniv.nl | 071 5272727
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Connect & Visualise: Data journeys in popular science
Webinar with Q&A
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The European legal framework for research data
Seminar