1,022 search results for “form data” in the Public website
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the automated detection of archaeological objects in remotely sensed data
Generally the data from remote sensing surveys - the scanning of the earth by satellite or aircraft in order to obtain information about it - is screened manually in archaeology. However, constant monitoring of the earth's surface causes a huge influx of data of high complexity and high quality. To…
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Diagnostics for mechanical heating in star-forming galaxies
Promotor: F.P. Israel, Co-Promoter: R. Meijerink
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Linking simple molecules to grain evolution across planet-forming disks
Planets are formed in disks of gas and dust around young stars.
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Monitoring drug-related homicides: An assessment of existing data sources and potential for future monitoring
This project’s aim is to critically assess current homicide data sources in order to develop a proposal for long-term EU-level monitoring of DRH.
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Stacked Domain Learning for multi-domain data: a new ensemble method
The aim of this project is to develop accurate but interpretable ensemble learning methods for high-dimensional multi-domain data.
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Modelling the dynamics of the innovation process: a data-driven agent-based approach
Promotor: Prof.dr. B.R. Katzy, Co-promotor: R. Ortt
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Tsuvadi Gender: A mixed form- and semantic-based system
Lecture, This Time For Africa! series
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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…
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Formative feedback and interaction in larger lectures through web-based voting.
To what extent can contingent, formative feedback in lectures, facilitated by web-based ICT, increase students’ self-efficacy and (academic, behavioral, and cognitive) engagement? And how are self-efficacy and engagement influencing students’ performance and course evaluations?
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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.
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Discrimination and Privacy in the Information Society; Data Mining and Profiling in Large Databases
Latest technological developments in data mining and profiling.
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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).
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Cor Veenman
Science
c.j.veenman@liacs.leidenuniv.nl | +31 71 527 5772
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Helena Vrabec
Faculteit Rechtsgeleerdheid
h.u.vrabec@law.leidenuniv.nl | +31 71 527 8838
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Vincent Croft-
Science
v.a.croft@liacs.leidenuniv.nl | +31 71 527 4799
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Jaap-Willem Mink
Faculteit der Sociale Wetenschappen
j.a.b.mink@fsw.leidenuniv.nl | +31 71 527 6801
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Nees Jan van Eck
Faculteit der Sociale Wetenschappen
ecknjpvan@cwts.leidenuniv.nl | +31 71 527 6445
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Daniel Vale
Faculteit Rechtsgeleerdheid
d.s.vale@law.leidenuniv.nl | +31 71 527 8838
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Julian Karch
Faculteit der Sociale Wetenschappen
j.d.karch@fsw.leidenuniv.nl | +31 71 527 3493
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Frank Takes
Science
f.w.takes@liacs.leidenuniv.nl | +31 71 527 7143
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Transforming data into knowledge for intelligent decision-making in early drug discovery
Promotor: A.P.IJzerman Co-promotor: A. Bender
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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.
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Star-Forming Galaxies at the Cosmic Dawn
Promotor: Prof.dr. M. Franx, Co-Promotor: Rychard Bouwens
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Sport Data Center
Sport Data Center
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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…
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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.
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Bullying Culture as a Form of Negative Solidarity
What is the role of technology and cyberculture in Korean social structures and in the potential formation of a new collective subjectivity? How do we reorient disoriented souls?
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Language diversity in the psycholinguistic study of sentence form variation
On the 12th of December, Eleanor Dutton successfully defended her doctoral thesis and graduated. The Leiden University Centre for Linguistics congratulates Eleanor on this achievement.
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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?
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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…
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Richard Gill
Science
gill@math.leidenuniv.nl |
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Jacq Meulman
Science
j.j.meulman@math.leidenuniv.nl | +31 71 527 2727
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Rob Tijdeman
Science
tijdeman@math.leidenuniv.nl | +31 71 527 4831
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Somayeh Djafari
Faculteit Rechtsgeleerdheid
somie.djafari@gmail.com | +31 71 527 5200
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Mason Marks
Faculteit Rechtsgeleerdheid
m.m.marks@umail.leidenuniv.nl | +31 71 527 5200
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Jenneke Evers
Faculteit Rechtsgeleerdheid
g.h.evers@law.leidenuniv.nl | +31 71 527 8838
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Simon van Lierde
Science
s.n.van.lierde@cml.leidenuniv.nl | +31 71 527 2727
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Bastienne Vriesendorp
Science
b.vriesendorp@biology.leidenuniv.nl | +31 71 527 2727
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Barend Mons
Faculteit Geneeskunde
b.mons@lumc.nl | +31 71 526 9111
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Max van Haastrecht
Science
m.a.n.van.haastrecht@liacs.leidenuniv.nl | +31 71 527 4799
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Teachers' use of progress data in planning and evaluating instruction for students with learning disabilities
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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.
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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.
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Nadira Saab
ICLON
n.saab@iclon.leidenuniv.nl | +31 71 527 5726
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From intuition to data
Dutch speedskaters have been winning the most medals in speed skating at the Winter Olympics for years. How? Based on their intuition. Scientist Jeroen van der Eb of the Data Mining & Sports group of the Leiden Institute of Advanced Computer Science (LIACS) wants speedskaters to adjust their irons based…
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Matthijs van Leeuwen
Science
m.van.leeuwen@liacs.leidenuniv.nl | +31 71 527 7048
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Tom Wilderjans
Faculteit der Sociale Wetenschappen
t.f.wilderjans@fsw.leidenuniv.nl | +31 71 527 6058
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Alan Sears
Faculteit Rechtsgeleerdheid
a.m.sears@law.leidenuniv.nl | +31 71 527 8154
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Niki van Stein
Science
n.van.stein@liacs.leidenuniv.nl | +31 71 527 2727
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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.