838 search results for “data or hart haring” in the Public website
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Bas Haring
Science
s.haring@liacs.leidenuniv.nl | +31 71 527 7033
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Yvonne Haring
Faculteit Archeologie
y.m.haring@arch.leidenuniv.nl | +31 71 527 2660
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Ben Haring
Faculty of Humanities
b.j.j.haring@hum.leidenuniv.nl | +31 71 527 4170
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Stephen Hart
Universitaire Bibliotheken Leiden
s.hart@library.leidenuniv.nl | +31 71 527 2727
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James Hart
Faculty of Humanities
j.g.hart@hum.leidenuniv.nl | +31 71 527 2171
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Emiel van der Hart
ICLON
e.p.van.der.hart@iclon.leidenuniv.nl | +31 71 527 6548
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Sophie 't Hart
Expertisecentrum SOZ
s.a.t.hart@sea.leidenuniv.nl | +31 71 527 2727
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Marco van 't Hart
Universitair Facilitair Bedrijf
m.j.van.t.hart@ufb.leidenuniv.nl | +31 71 527 5337
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Joest 't Hart
Faculteit Rechtsgeleerdheid
a.c.t.hart@law.leidenuniv.nl | +31 71 527 2727
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Leendert 't Hart
Faculteit Geneeskunde
l.m.t_hart@lumc.nl | +31 71 526 9111
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Petra 't Hart
Faculty of Humanities
p.c.t.hart@hum.leidenuniv.nl | +31 71 527 2890
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Kim van der Hart
Faculteit der Sociale Wetenschappen
k.a.van.der.hart@fsw.leidenuniv.nl | +31 71 527 2727
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Jeroen 't Hart
Expertisecentrum SOZ
j.t.hart@sea.leidenuniv.nl | +31 71 527 7259
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Melissa van 't Hart
Faculteit der Sociale Wetenschappen
m.van.t.hart@fsw.leidenuniv.nl | +31 71 527 2727
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Data-Driven Risk Assessment in Infrastructure Networks
Leiden University and the Ministry of Infrastructure and Water Management are involved in a collaboration in the form of a research project titled 'Data-Driven Risk Assessment in Infrastructure Networks'.
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‘For good measure’: data gaps in a big data world
Sarah Giest and Annemarie Samuels, both Assistant Professors at Leiden University, researched the quality and coverage of the data being collected for policiymakers to be used, specifically pertaining to minority groups.
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Jopie van der Hart-van der Hoek
Science
wjvdhart@hetnet.nl | +31 71 527 4229
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Bas Haring among the eleven most influential Leiden scientists
According to University newspaper Mare professor Bas Haring, head of the Media Technology Masters programme, is among the eleven most influential Leiden Scientists.
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Robust Estimation using Aggregated Data for Urban policy making (READ-URBAN)
Read-Urban was a first project to investigate whether policy recommendations can be made with the aid of linked data collections and data science and to gain experience with the success factors for such a process.
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Mariëlle Linting
Faculteit der Sociale Wetenschappen
linting@fsw.leidenuniv.nl | +31 71 527 4098
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Exploring big data approaches in the context of early stage clinical
Als gevolg van de grote technologische vooruitgang in de gezondheidszorg worden in toenemende mate gegevens verzameld tijdens de uitvoering van klinische onderzoeken.
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Publication Helena Ursic en Bart Custers about data reuse
Data reuse and big data: a taxonomy for personal data reuse.
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Inaugural lecture: Data of Value
By comparing individual health data with population data, doctors can provide personalized health advice and patients can learn from each other's experiences. Wessel Kraaij, professor of Applied Data Analytics shows how personal data can have predictive value.
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DAMIOSO - data mining on high volume simulation output
Modern computer-aided simulation tools used by various industries produce gigabytes of data. But currently, they take days and even up to weeks of computation effort. To make the best use of all these data, the DAMIOSO project focuses on developing algorithms and tools for managing, mining, and optimizing…
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Data
Data Sets Department of Economics
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Governance and Data Science Group
The extensive use of electronic communication channels and other devices has opened new possibilities for collecting data on human behavior. This information is sometimes openly accessible, but largely part of administrative registration systems that are not open to the broader public. The data provides…
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Causal Discovery from High-Dimensional Data in the Large-Sample Limit
Developing robust algorithms and theory for establishing cause-effect relationships from observational data that scale up to large data sets
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SAPPAO - Optimizing the flight times of airplanes using data science
The SAPPAO project aims to optimise the accuracy and reliability of predicting scheduled flight times. The full name of the project is 'A Systems Approach towards Data Mining and Prediction in Airlines Operations'.
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Exploratory Data Mining in Multimodal data
The change from a closed institution to an open living environment for patients with late stages of dementia will give the patients more freedom in their day-to-day life. The effect of this change on the patients’ mobility, activity and interaction with others will be assessed with sensor technology…
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Data-Driven Drug Discovery Network (D4N)
The Data-Driven Drug Discovery Network (D4N) is an initiative by researchers from Leiden University and collaborators to join efforts in applying and developing novel techniques from data science to drug discovery and related topics from bioinformatics.
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Inaugural lecture: Data science and Ebola
Today, everybody and everything produces data. People produce large amounts of data in social networks and in commercial transactions. Medical, corporate, and government databases continue to grow. Sensors continue to get cheaper and are increasingly connected, creating an Internet of Things, and generating…
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FAIR data
Open Science means not only sharing final research results but also the underlying data. A main way to do that is by making research data FAIR: Findable, Accessible, Interoperable and Reusable.
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Mining Sensor Data from Complex Systems
Promotor: J.N. Kok, Co-Promotor: A.J. Knobbe
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Enriching official economic statistics using data-driven modelling techniques
Netherlands Statistics (CBS), Leiden University and the University of Amsterdam have started a collaboration in the form of a research project titled 'Enriching official economic statistics using data-driven modelling techniques'.
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Data Management
LACDR adheres to strict data management rules, with the aim to make our data findable, accessible, interoperable and re-usable. For this reason all LACDR PhD candidates are required to prepare a data management plan and to implement data management rules accordingly. All PhD candidates follow a data…
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Data science
The majority of scientists, from archaeologists through to zoologists, collect enormous volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics and computer science, we can develop algorithms for analyzing…
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Data Science
The ability to collect and interpret huge quantities of data has become indispensable to society and academia. Leiden University is a knowledge and expertise centre for data science that places the emphasis on interdisciplinary collaboration and innovation.
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Data Science
The majority of scientists, from archaeologists through to zoologists, collect huge volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics, we can develop algorithms for analysing and identifying patterns…
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Data exchange
What consequences does Brexit have for the protection of personal data?
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Flitsinterview met alumnus Kees van der Staaij: ik ben en blijf een jurist in hart en nieren
Flitsinterview met alumnus Kees van der Staaij: ik ben en blijf een jurist in hart en nieren
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Data Use
The project 'Data use, online consumer needs, business strategies and regulatory response' aims to explore and examine the factors that impact upon the efficacy of information disclosure duties pertaining to customer data use in online business.
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Data based decision making processes in secondary education
How can teachers be motivated by their students’ data in making stepwise changes to their teaching practices?
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Statistical methods for microarray data
Promotores: J.C. van Houwelingen, S.A. van de Geer
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Uncontrollable: Data subject rights and the data- driven economy
On 7 February 2019, Helena Ursic-Vrabec defended her thesis 'Uncontrollable: Data subject rights and the data- driven economy'. The doctoral research was supervised by Prof. dr. S. van der Hof.
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Reusing data: Bridging the distance between data consumers and producers
Workshop
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Data protection and privacy
At Psychology Lab on Wheels, we take your privacy and the security of your personal data very seriously. We want to assure you that all the information collected during this study will be handled in accordance with the General Data Protection Regulation (GDPR).
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Privacy and data protection
As a PhD candidate, you probably work with personal data. That’s not just names and telephone numbers – it can also include things like cookies. To keep (personal) data as secure as possible, the university has established an information security policy.
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Health Data Science
Health research, medical practice and consequently the whole population is increasingly affected by digitization, data science and AI.
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Explainatory Data Analysis
The Explainatory Data Analysis group develops algorithms and theory that enable domain experts to explain data by finding interpretable patterns and models.
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Biometric data appointment
Before your student residence permit can be issued, you must have your biometric data recorded.