1,298 search results for “data science” in the Staff website
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Data Science Research Programme
Universities, companies, organisations and societies are increasingly facing enormous quantities of data. It is a great challenge to transform these Big Data into knowledge, which is why Leiden University has launched a University-wide Data Science Research Programme.
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Laura ZwepScience
l.b.zwep@lacdr.leidenuniv.nl | +31 71 527 2727
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Peter GrünwaldScience
pdg@math.leidenuniv.nl | +31 71 527 2727
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Marta FioccoScience
m.fiocco@math.leidenuniv.nl | +31 71 527 7144
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Gino Bertrand KpogbezanScience
g.b.kpogbezan@math.leidenuniv.nl | +31 71 527 7109
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Kevin DuistersScience
k.l.w.duisters@math.leidenuniv.nl | +31 71 527 2727
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Jelle GoemanFaculteit Geneeskunde
j.j.goeman@lumc.nl | +31 71 526 9700
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Thijs BosScience
j.m.bos@math.leidenuniv.nl | +31 71 527 2727
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Wouter van LoonFaculteit der Sociale Wetenschappen
w.s.van.loon@fsw.leidenuniv.nl | +31 71 527 2727
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Wessel KraaijScience
w.kraaij@liacs.leidenuniv.nl | +31 71 527 5778
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Richard GillScience
gill@math.leidenuniv.nl |
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Jacq MeulmanScience
j.j.meulman@math.leidenuniv.nl | +31 71 527 2727
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Rob TijdemanScience
tijdeman@math.leidenuniv.nl | +31 71 527 4831
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Max van HaastrechtScience
m.a.n.van.haastrecht@liacs.leidenuniv.nl | +31 71 527 4799
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Julian KarchFaculteit der Sociale Wetenschappen
j.d.karch@fsw.leidenuniv.nl | +31 71 527 3493
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Wouter Verschoof-van der VaartFaculteit Archeologie
w.b.verschoof@arch.leidenuniv.nl | +31 71 527 NVT
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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…
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Using data science to promote a healthy life style
Movement behaviours, such as physical activity, sleep, and the amount of time we sit each day, impact our health. Recently, more researchers are looking at the influence of these behaviours combined, but this is a challenging task. For example, it is difficult to monitor in what way movement behaviours…
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Frank TakesScience
f.w.takes@liacs.leidenuniv.nl | +31 71 527 7143
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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…
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Barend MonsFaculteit Geneeskunde
b.mons@lumc.nl |
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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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Suzanne MarselisScience
s.m.marselis@cml.leidenuniv.nl | +31 71 527 2727
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Antoine CoudardScience
a.coudard@cml.leidenuniv.nl | 071 5272727
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Cor VeenmanScience
c.j.veenman@liacs.leidenuniv.nl | +31 71 527 5772
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A good start for every child, and how data science can help
Some children start life with a disadvantage. Sometimes even before they are born. A new research project involving Professor Wessel Kraaij of Leiden University investigates how data science can help give these children a good start in life.
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Akrati SaxenaScience
a.saxena@liacs.leidenuniv.nl | +31 71 527 2727
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Matthijs van LeeuwenScience
m.van.leeuwen@liacs.leidenuniv.nl | +31 71 527 7048
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OSCoffee: Building a data competence center for Population Health Management
Lecture
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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.
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Data stewards
Do you have questions about data management? Please contact the data stewards:
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Women in Data Science (WiDS)
Conference
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Mariëlle Linting
Faculteit der Sociale Wetenschappen
linting@fsw.leidenuniv.nl | +31 71 527 4098
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Elise DusseldorpFaculteit der Sociale Wetenschappen
elise.dusseldorp@fsw.leidenuniv.nl | +31 71 527 8046
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Jan van RijnScience
j.n.van.rijn@liacs.leidenuniv.nl | +31 71 527 2727
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Joost VisserScience
j.m.w.visser@liacs.leidenuniv.nl | +31 71 527 2727
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Aske PlaatScience
a.plaat@liacs.leidenuniv.nl | +31 71 527 7065
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Maarten Kampert
Faculteit der Sociale Wetenschappen
m.m.d.kampert@fsw.leidenuniv.nl | +31 71 527 2727
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From basic research to healthcare tools
On April 1, Marco Spruit, Professor of Advanced Data Science in Population Health at the Leiden University Medical Center (LUMC) and the Leiden Institute of Advanced Computer Science (LIACS), will deliver his inaugural lecture ‘Translational Data Science in Population Health’. Spruit will use the opportunity…
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Jaap-Willem MinkFaculteit der Sociale Wetenschappen
j.a.b.mink@fsw.leidenuniv.nl | +31 71 527 6801
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Dirk van der HoevenScience
d.van.der.hoeven@math.leidenuniv.nl | +31 71 527 7146
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Data management, privacy and data protection
As a PhD candidate, you work with data. To keep (personal) data as secure as possible, the university has established an information security policy.
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Personal data
As a university employee, you probably work with personal data. That is not just names and telephone numbers – it can also include things like cookies. How can you make sure you are working in a privacy-proof way?
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Margaret GoldFaculteit der Sociale Wetenschappen
m.j.gold@cwts.leidenuniv.nl | +31 71 527 2727
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Data storage
Your options for data storage may vary depending on factors such as size and sensitivity of the data or collaboration with partners outside the university. We are all responsible for data protection. To keep (personal) data as secure as possible, the university has established an information security…
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Structuring data
When structured properly, the data are easier to manipulate, analyze and visualize.
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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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Personal and sensitive data
Collecting personal and sensitive data is not as common an issue in archaeological research as in some other fields such as sociology and political sciences which is often the reason why archaeologists might not be aware that they are handling those types of data.
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Leonardo LenociScience
l.lenoci@science.leidenuniv.nl | +31 71 527 8484
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Reusing data: Bridging the distance between data consumers and producers
Workshop