1,372 search results for “data or have helpen” in the Public website
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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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The speaker in speech – the interdependence of linguistic and indexical information
Which features characterize speakers’ voices, and how are these features determined by what a speaker is saying?
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PiP Gemeente Leiden | Ga Goed
Wat zijn de huidige energiekosten en hoe is de comfortbeleving het wooncomfort in een bepaalde groep huurders van woningcorporatie Portaal?
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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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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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'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 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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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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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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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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Towards a system-based pharmacology approach to predict developmental changes in renal drug clearance in children
Promotores: Prof.dr. C.A.J. Knibbe, Prof.dr. M. Danhof, Prof.dr. K. Allegaert (Leuven)
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Predicting crime in dark web forum networks
In this project, we use social network analysis to analyze the behavior of users in online forums and associated marketplaces over time.
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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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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…
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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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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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Li-Ru HsuFaculteit der Rechtsgeleerdheid
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Peter VerhaarFaculty of Humanities
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Maria-Lucia RebreanFaculteit der Rechtsgeleerdheid
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Sarah GiestFaculteit Governance and Global Affairs
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Mark RoelofsenFaculteit Governance and Global Affairs
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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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Seminar: 'Data Science meets Humanities'
Seminar 12th of April
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Data structures for quantum circuit verification and how to compare them
Quantum computers are a proposed fundamentally new type of computer. They aim to perform some computations much faster than previously possible by exploiting phenomena at the quantum scale, called superposition and entanglement.
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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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reconstruction of the codex Añute palimpsest using hyperspectral imaging data
A technique originally developed for satellite imaging can now be used to recover pictographic texts from underneath the surface of a five hundred year old Mexican manuscript.
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Decoding supplier codes of conduct with content and text as data approaches
The growing popularity of corporate self-regulation to address supply-chain issues puts Corporate Social Responsibility and specifically codes of conduct, at the centre of attention. In this article, Jaroslaw Kantorowicz, Sarah Vandenbroucke and Yvonne Erkens analyse supplier codes of conduct of multinational…
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Estimating Physical Parameters from Noisy and Incomplete Earth Observation Data
PhD defence
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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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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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Integrating Analytics with Relational Databases
The database research community has made tremendous strides in developing powerful database engines that allow for efficient analytical query processing.
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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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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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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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Bram KlievinkFaculteit Governance and Global Affairs
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Hai Lin -
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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Handbook of Natural Computing
Natural Computing investigates algorithms and phenonema based on nature to create better and new computer science innovations.
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Data Science Seminar for Fairness and Transparency
Data Science seminar at the Faculty of Governance and Global Affairs
