841 search results for “data analyse” in the Public website
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Joris Timmermans
Science
j.timmermans@cml.leidenuniv.nl | +31 71 527 7481
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Mathilde Verdam
Faculteit der Sociale Wetenschappen
m.g.e.verdam@fsw.leidenuniv.nl | +31 71 527 3789
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Joost van Ginkel
Faculteit der Sociale Wetenschappen
jginkel@fsw.leidenuniv.nl | +31 71 527 3620
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Sarah Giest
Faculty Governance and Global Affairs
s.n.giest@fgga.leidenuniv.nl | +31 70 800 9084
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Wouter Verschoof-van der Vaart
Faculteit Archeologie
w.b.verschoof@arch.leidenuniv.nl | +31 71 527 NVT
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Linda Breeman
Faculteit der Sociale Wetenschappen
l.d.breeman@fsw.leidenuniv.nl | +31 71 527 2727
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Li-Ru Hsu
Faculteit Rechtsgeleerdheid
l.r.hsu@law.leidenuniv.nl | +31 71 527 2727
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Robert-jan de Rooij
Faculteit der Sociale Wetenschappen
r.j.b.de.rooij@fsw.leidenuniv.nl | +31 71 527 2727
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Leonardo Lenoci
Science
l.lenoci@science.leidenuniv.nl | +31 71 527 8484
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Suzanne Marselis
Science
s.m.marselis@cml.leidenuniv.nl | +31 71 527 2727
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Guilherme D'Andrea Curra
Faculteit Archeologie
g.dandrea.curra@arch.leidenuniv.nl | +31 71 527 2727
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Joep Steegmans
Faculteit Rechtsgeleerdheid
j.w.a.m.steegmans@law.leidenuniv.nl | +31 71 527 1856
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Maria-Lucia Rebrean
Faculteit Rechtsgeleerdheid
m.l.rebrean@law.leidenuniv.nl | +31 71 527 2727
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Gianclaudio Malgieri
Faculteit Rechtsgeleerdheid
g.malgieri@law.leidenuniv.nl | +31 71 527 8838
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Els de Busser
Faculty Governance and Global Affairs
e.de.busser@fgga.leidenuniv.nl | +31 70 800 9094
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Zihao Yuan
Science
z.yuan@cml.leidenuniv.nl | +31 71 527 2727
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Antoine Coudard
Science
a.coudard@cml.leidenuniv.nl | +31 71 527 2727
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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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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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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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Seminar: 'Data Science meets Humanities'
Seminar 12th of April
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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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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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'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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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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Analysing Roman cities with an ERC Advanced Grant
How many cities were there actually in the Roman Empire? And why did some regions only have a few cities, while others consisted of a tight urban network? Luuk de Ligt, Professor of Ancient History, wants to know the answer to all these questions. With the ERC Advanced Grant of 2.5 million awarded to…
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Analysing Roman cities with an ERC Advanced Grant
How many cities were there actually in the Roman Empire? And why did some regions only have a few cities, while others consisted of a tight urban network? Luuk de Ligt, Professor of Ancient History, wants to know the answer to all these questions. With the ERC Advanced Grant of 2.5 million awarded to…
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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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Prince Constantijn: research on big data urgently needed
Policy makers urgently need scientists’ help with the phenomenon of big data. This was the view expressed by Prince Constantijn, speaking at the opening of the Leiden Centre of Data Science, the virtual centre for research on big data at Leiden University.
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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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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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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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Arie-Willem de Leeuw in Mare on using big data to run marathons
Arie-Willem de Leeuw, Postdoc at LIACS, analysed the running data of the Boston Marathon. In Mare he explains how to optimise your long distance runs.
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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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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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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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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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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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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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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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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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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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Why you should publish negative data
As a bachelor student of Bio-Pharmaceutical Sciences, Femke Vlaswinkel wrote a research proposal she was allowed to carry out in her master’s BPS. Femke subsequently graduated with honors. Her research was published in the journal Scientific Reports, she won an award from the Dutch Pharmacy Society…
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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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Collaborating on big data to unravel disease processes
Patients with the same illness often receive the same treatment, even if the cause of the illness is different for each person. This represents a new step towards ultimately being able to offer every patient more personalised treatment.
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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…