916 search results for “big data” in the Public website
-
CWTS Research Data Management Guidelines
The CWTS research data management guidelines outline a set of expectations about how CWTS researchers should go about handling data that is collected, processed, (re)used, and shared throughout the lifecycle of a given project.
-
Astronomy and Data Science (MSc)
The Astronomy and Data Science master’s specialisation at Leiden University combines advanced Astronomy courses with relevant courses from the Computer Science programme at Leiden University.
-
Excavating Fossilized Data
A cross-cut analysis of the ties between university research and fossil industries.
-
Tools and Data
Software and Data of the department Industrial Ecology
-
Broeders wants to establish a centre of excellence for Emerging Technology and Security
He announced this news in a tweet earlier this month: 'Delighted to announce that I've been appointed Full Professor of Global Security and Technology'. So let's get more closely acquainted with Dennis Broeders (46), who explains why the Institute of Security and Global Affairs (ISGA) is ideal for him,…
-
Applying data mining in telecommunications
This thesis applies data mining in commercial settings in the telecommunications industry.
-
Digitalisation, Data and Governance (BSc)
The Digitalisation, Data and Governance specialisation of the Bachelor of Public Administration focuses on current digitalisation issues in public administration. How does the government handle citizens' data? Is the government doing enough to restrict the use of your data by tech companies? How do…
-
Ethical standards for data science
Computers are becoming so smart that in the future they will perhaps take over the role of judges. In the meantime, experts at Leiden University are examining the question of which standards responsible data science should meet.
-
Exploring big data approaches in the context of early stage clinical
PhD defence
-
Using health data for scientific research isn’t that simple
While health data is essential for scientific research, that data also needs to be protected. In her doctoral thesis, Irith Kist found a balance between protecting the individual and exchanging health data.
-
Tools and data
Overview of CML software and data
-
Bioinformatics Data analytics Computational Biology
LUMC Technology Focus Area (TFA) Data Analytics is een samenwerkingsverband van verschillende onderzoeksgroepen in het LUMC die nieuwe kwantitatieve en computationele methodologie ontwikkelen voor biomedisch en klinisch onderzoek.
-
Leiden University protects your data
At Leiden University we like to stay in touch with our alumni. We therefore invite you by post, email or phone to lectures, workshops and masterclasses for alumni and inform you about developments in your field and at the University. With your knowledge and experience, you also make a valuable contribution…
-
Data science for tax administration
In this PhD-thesis several new and existing data science application are described that are particularly focused on applications for tax administrations.
-
Statistical learning for complex data to enable precision medicine strategies
Explaining treatment response variability between and within patients can support treatment and dosing optimization, to improve treatment of individual patients.
-
Data mining and algorithm development
Due to the modern techniques of combinatorial chemistry and high-throughput screening, data on the biological activity of many millions of compounds is known. However, it is still very difficult to transfer this data into knowledge: if we know that compounds A and B bind to a certain protein with high…
-
Three Leiden scientists receive NWO ENW-KLEIN grant for innovative research
The origins of Surinamese rice, a digital twin of the Earth and a large big-data project in the Chilean sky: three Leiden scientists receive an ENW-KLEIN grant for innovative, fundamental research.
-
Handbook of Governance and Data Science
Edward Elgar
-
Mundane dynamics: Understanding collaborative governance approaches to ‘big’ problems through studying ‘small’ practices
In this article, Lianne Visser contributed to the understanding of why collaborative governance is a challenging response to wicked problems.
-
Leiden: Silicon Valley of FAIR data
If researchers make their data FAIR, computers can link large quantities of data and identify patterns, thus greatly accelerating the process of arriving at new insights. In Leiden, the birthplace of ‘FAIR data’, Professor Barend Mons explains the meaning of this term.
-
Health Data Science special interest group
Health Data Science Leiden University
-
Statistical modelling of time-varying covariates for survival data
This dissertation focuses on developing new mathematical and statistical methods to properly represent time-varying covariates and model them within the context of time-to-event analysis.
-
Academic data science: Transdisciplinary and extradisciplinary visions
CWTS Seminar
-
Converting cultural heritage into usable data
How can we make the information in handwritten historical research reports accessible and searchable? Data scientists at Leiden University are working with other universities on a method that will improve access to cultural heritage.
-
Missing data procedures in multivariate analysis
-
-
Legal and policy aspects of space big data: Legal implications of the use of large amounts of space data
PhD defence
-
Data Centres for Natural Recources and Products
Creating information portals for support of European environmental policy.
-
‘Privacy is shifting from Big Brother to Kafka’
On the Day of Privacy, 28 January, the European Commission is calling on citizens to make sure they protect their personal data. But how do you do that, and against what, exactly? Privacy researcher Bart Custers explains.
-
Laura Zwep
Science
-
Peter Grünwald
Science
-
Marta Fiocco
Science
-
Gino Bertrand Kpogbezan
Science
-
Kevin Duisters
Science
-
Jelle Goeman
Faculteit Geneeskunde
-
Thijs Bos
Science
-
Applied statistics as a pillar of data science
Data science is now growing fast in many places, but scholars at Leiden University have been developing data science techniques for a long time already. Thanks to their broad-based expertise, Leiden statisticians are currently combining the achievements in statistics with the latest methods of statistical…
-
Resampling Methodology for Longitudinal Data Analysis
How does the cluster bootstrap procedure in combination with various types of linear models perform in the analysis of longitudinal data, compared to other methods.
-
Using data to improve sports performances
‘Tell me something I don’t know,’ said skating coach Jac Orie to Leiden data scientist Arno Knobbe. And he did. Knobbe and his colleagues now assist athletes in all kinds of ways with the help of data mining.
-
Data Science and Artificial Intelligence (BSc)
The focus of the Bachelor Data Science & Artificial Intelligence is on computer science, and its applications in Artificial Intelligence. You will receive a strong basis in mathematics, statistics and computer science, combined with advanced knowledge of machine learning, cognitive science, human-robot…
-
Modelling the dynamics of the innovation process: a data-driven agent-based approach
Promotor: Prof.dr. B.R. Katzy, Co-promotor: R. Ortt
-
A 'border' is not a static concept
In his new book 'The Politics of Borders', Leiden political scientist Matthew Longo redefines the concept of a ‘border’.
-
Pieter Kroonenberg
Faculteit der Sociale Wetenschappen
-
Data-driven donation strategies: understanding and predicting blood donor deferral
The research in this dissertation aims to optimise blood donation processes in the framework of the Dutch national blood bank Sanquin. The primary health risk for blood donors is iron deficiency, which is evaluated based on donors' hemoglobin and ferritin levels.
-
Software and data for circular economy assessment
This thesis investigates how the assessment of circular economy (CE) at the macro-economic level can be facilitated and promoted.
-
Bibliometric Data Sources and Indicators (online)
Research
-
Multi-dimensional feature and data mining
In this thesis we explore machine and deep learning approaches that address keychallenges in high dimensional problem areas and also in improving accuracy in wellknown problems. In high dimensional contexts, we have focused on computational fluid dynamics (CFD) simulations.
-
Structural Health Monitoring Meets Data Mining
Promotor: Prof.dr. J.N. Kok, Co-promotor: Dr. A.J. Knobbe
-
Sport Data Center
Sport Data Center
-
Essays on wealth, health, and data collection
On 21 November 2018, Lieke Kools defended her thesis 'Essays on wealth, health, and data collection'. The doctoral research was supervised by Prof. dr. K.P. Goudswaard en Prof. dr. C.L.J. Caminada.
-
Tools and Data
Tools and Data of the department of Environmental Biology