1,574 search results for “sport data centre” in the Public website
-
Modelling the dynamics of the innovation process: a data-driven agent-based approach
Promotor: Prof.dr. B.R. Katzy, Co-promotor: R. Ortt
-
Visual analytics for spatially-resolved omics data at single cell resolution: Methods and Applications
The deeper understanding of an organism's pathology is important for developing treatments. Over centuries of systematic research, clinical researchers have demonstrated that the more information they acquire about the cellular properties and their organisation in the tissue, the better they can understand…
-
A new era for nature conservation using hyperspectral and lidar data; Oostvaardersplassen as a case study
This project aims to develop advanced data analysis methods for monitoring and increasing our understanding on biodiversity dynamics in nature reserves such as the Oostvaardersplassen.
-
Knowledge centre Anxiety & Stress in Youth
Our mission is to recognise and treat stress and anxiety in children as early as possible, by connecting scientific research, clinical practice and education.
-
Discrimination and Privacy in the Information Society; Data Mining and Profiling in Large Databases
Latest technological developments in data mining and profiling.
-
National Culture and Africa Revisited: Ethnolinguistic Group Data From 35 African Countries
This study seeks to partially fill the knowledge gap about national culture in Africa, basing its research on data on ethnolinguistic groups (instead of administrative regions).
-
Helena Vrabec
Faculteit Rechtsgeleerdheid
h.u.vrabec@law.leidenuniv.nl | +31 71 527 8838
-
Vincent Croft-
Science
v.a.croft@liacs.leidenuniv.nl | +31 71 527 4799
-
Jaap-Willem Mink
Faculteit der Sociale Wetenschappen
j.a.b.mink@fsw.leidenuniv.nl | +31 71 527 6801
-
Nees Jan van Eck
Faculteit der Sociale Wetenschappen
ecknjpvan@cwts.leidenuniv.nl | +31 71 527 6445
-
Daniel Vale
Faculteit Rechtsgeleerdheid
d.s.vale@law.leidenuniv.nl | +31 71 527 8838
-
Julian Karch
Faculteit der Sociale Wetenschappen
j.d.karch@fsw.leidenuniv.nl | +31 71 527 3493
-
Frank Takes
Science
f.w.takes@liacs.leidenuniv.nl | +31 71 527 7143
-
Transforming data into knowledge for intelligent decision-making in early drug discovery
Promotor: A.P.IJzerman Co-promotor: A. Bender
-
Integrating data to learn more
Tremendous amounts of data are generated in scientific research each day. Most of this data has more potential than we are using now, says Katy Wolstencroft, assistant professor in bioinformatics and computer science. We just need to integrate and manage it better.
-
RISIS – Research infrastructures for the assessment of science, technology and innovation policy
The RISIS project aims at creating a distributed research infrastructure to support and advance science and innovation studies. This will give the field a strong scientific push forward, and at the same time, provide a radically improved evidence base for research and innovation policies, for research…
-
learning-based NO2 estimation from seagoing ships using TROPOMI/S5P satellite data
The marine shipping industry is one of the strongest emitters of nitrogen oxides (NOx), a pollutant detrimental to ecology and human health. Over the last 20 years, the pollution produced by power plants, the industry sector, and cars has been decreasing.
-
LUCIS - Centre for the Study of Islam and Society
LUCIS promotes high-quality research on Islam and Muslim societies and actively communicates the insights and findings of that research to the larger public.
-
analysis of cultural landscapes through remote and close range sensing data
What workflow of non-destructive techniques provides accurate, valuable data to improve our understanding of Caribbean archaeological landscapes? How were Amerindian settlements configured?
-
Automated machine learning for dynamic energy management using time-series data
Time-series forecasting through modelling sequences of temporally dependent observations has many industrial and scientific applications. While machine learning models have been widely used to create time-series forecasting models, creating efficient and performant time-series forecasting models is…
-
Richard Gill
Science
gill@math.leidenuniv.nl |
-
Jacq Meulman
Science
j.j.meulman@math.leidenuniv.nl | +31 71 527 2727
-
Rob Tijdeman
Science
tijdeman@math.leidenuniv.nl | +31 71 527 4831
-
Somayeh Djafari
Faculteit Rechtsgeleerdheid
somie.djafari@gmail.com | +31 71 527 5200
-
Mason Marks
Faculteit Rechtsgeleerdheid
m.m.marks@umail.leidenuniv.nl | +31 71 527 5200
-
Jenneke Evers
Faculteit Rechtsgeleerdheid
g.h.evers@law.leidenuniv.nl | +31 71 527 8838
-
Simon van Lierde
Science
s.n.van.lierde@cml.leidenuniv.nl | +31 71 527 2727
-
Bastienne Vriesendorp
Science
b.vriesendorp@biology.leidenuniv.nl | +31 71 527 2727
-
Barend Mons
Faculteit Geneeskunde
b.mons@lumc.nl | +31 71 526 9111
-
Max van Haastrecht
Science
m.a.n.van.haastrecht@liacs.leidenuniv.nl | +31 71 527 4799
-
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…
-
Teachers' use of progress data in planning and evaluating instruction for students with learning disabilities
-
-
Omics data integration with genome-scale modelling of dopaminergic neuronal metabolism
Parkinson's disease is the second most common neurodegenerative disease in the world. One of its symptoms is the loss of dopaminergic neurons in the substantia nigra pars compacta.
-
Lone Actor Terrorist Attack Planning and Preparation: A Data‐Driven Analysis
This article provides an in‐depth assessment of lone actor terrorists’ attack planning and preparation.
-
Matthijs van Leeuwen
Science
m.van.leeuwen@liacs.leidenuniv.nl | +31 71 527 7048
-
Tom Wilderjans
Faculteit der Sociale Wetenschappen
t.f.wilderjans@fsw.leidenuniv.nl | +31 71 527 6058
-
Alan Sears
Faculteit Rechtsgeleerdheid
a.m.sears@law.leidenuniv.nl | +31 71 527 8154
-
Niki van Stein
Science
n.van.stein@liacs.leidenuniv.nl | +31 71 527 2727
-
Data science and visualisation by the government
On 20 February 2019, a special meeting on data science took place in the House of Representatives. The aim of the meeting was to start a dialogue with government organisations about data developments within the government.
-
The Power of Knowledge Ethical, Legal and Technological Aspects of Data Mining and Group Profiling in Epidemiology
With the rise of information and communication technologies, large amounts of data are being generated and stored in databases. In order to get a better grip on these large amounts of data, serious efforts are being made to discover patterns and relations in the data with the help of new techniques.…
-
How superconducting memory could help data centres reduce their carbon footprint
Online services are stored on servers in data centres. Remko Fermin researched methods to make the memory in data centres more energy efficient.
-
EmbRace: The Embodiment of Racialization: Running Muslim Women and the Sense of Non-Belonging
The project 'EmbRace: The Embodiment of Racialization: Running Muslim Women and the Sense of Non-Belonging' investigates the embodied and sensorial dimension of the racialization of Muslims and its intersections with gender, class and religion.
-
Austrian Studies Fund/CEES Centre Evening Lecture: “Academic Freedom and Neutrality: Lessons from Central Europe”
Lecture, Evening Lecture
-
The interpretation of physical activity wearable data and its relation with metabolic and brain health in older adults
Quantifying physical activity (using accelerometers) and combining the frequency and intensity of activities with health data (brain MRI, traditional clinical parameters and metabolomics) is of utmost importance to monitor mobility and health among older individuals and study health promotion during…
-
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.
-
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…
-
Jasmijn Rana in Dutch Newspaper on sexism and racism in recreational sports
The problem of unequal sports participation will only be addressed if sexism and racism in recreational sports and exercise are taken seriously. That's what cultural anthropologists Jasmijn Rana (Leiden University) and Kathrine van den Bogert (Utrecht University) write in an opinion piece in the Dutch…
-
tools for the exchange, analysis and communication of anonymised patient data
This project is a collaboration between Sanquin, LUMC and LIACS. It focuses on the development of meta-modelling methods and tools for the exchange, analysis, and publication of anonymised patient data. Measures are being constructed to evaluate both the level of privacy and the extent to which an anonymized…
-
Ben van Rompuy editor new journal on legal aspects of football and sport
The new scholarly journal ‘Voetbal- & Sportjuridische Zaken’, published by Boom Juridische Uitgevers, will focus on current legal aspects related to sport with particular attention for football.
-
Big data in archaeology: harnessing the hidden knowledge in the “graveyard” of Malta reports
The goal is to establish an intuitive search and querying service that allows researchers to quickly retrieve the most valuable digital resources, in order to allow them to integrate and synthesise the results into a coherent narrative of the past. The current focus of the project is to implement…