1,000 search results for “data or have helpen” in the Public website
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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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Leonardo LenociFaculty of Science
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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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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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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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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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Save the date: Centre for Digital Scholarship Summer Training Week 2026
Workshops, lectures
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Sarah GiestFaculty of Governance and Global Affairs
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Peter VerhaarFaculty of Humanities
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Maria-Lucia RebreanFaculteit der Rechtsgeleerdheid
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Li-Ru HsuFaculteit der Rechtsgeleerdheid
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Mark RoelofsenFaculty of Governance and Global Affairs
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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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Seminar: 'Data Science meets Humanities'
Seminar 12th of April
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Hack at Ajax: leaked season tickets and stadium bans
A hack at Ajax let season tickets be stolen and stadium bans viewed and changed. Bart Schermer, Professor of Privacy & Cybercrime, spoke to RTL News about the impact. ‘This information can be used against you.’
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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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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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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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Bram KlievinkFaculty of Governance and Global Affairs
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Elise DusseldorpFaculty of Social and Behavioural Sciences
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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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Hai LinFaculty of Science
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Eleftheria MakriFaculty of Science
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Joost VisserFaculty of Science
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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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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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Data Science Seminar for Fairness and Transparency
Data Science seminar at the Faculty of Governance and Global Affairs
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Metabolomics Implementation Network launched for fair data
On 10 March 2017, Professor Karel Luyben (TU Delft) welcomed the ‘Metabolomics GO FAIR Implementation Network’ as community initiative to start the European Open Science Cloud. The network aims to implement the FAIR data principles in the field of metabolomics in Europe.
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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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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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Skating faster thanks to data science
The Netherlands has a lot of world-class speed skaters and footballers. Clever statistical analyses could help them perform even better. Leiden University is working on this together with Delft and Amsterdam.
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Translational data science: applications in health care
How can you tie together scientific research and practical applications? That is exactly what Professor of Translational Data Science Marco Spruit is concerned with, he tells FMT Gezondheid. 'It's about taking socially relevant questions as a starting point for your research.'
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Empirical Bayes applications in biomedical high-dimensional prediction
The thesis introduces three methods for high-dimensional prediction problems in the biomedical field. The methods make use of empirical and variational Bayes in the estimation.
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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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Information for companies
This webpage is for companies interested in becoming an internship partner.
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Algorithms for analyzing and mining real-world graphs
Promotor: Prof.dr. J.N. Kok, Co-Promotor: W.A. Kosters
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Brenda Miranda XicotencatlFaculty of Science
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Dirk van der HoevenFaculty of Science
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Nina BaranowskaFaculteit der Rechtsgeleerdheid