1,349 search results for “data analysis” in the Public website
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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.
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Tools and data
Overview of CML software and data
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The role and analysis of molecular systems in electrocatalysis
Molecular complexes can be used as electrocatalysts for oxygen reduction, water oxidation, and/or hydrogen peroxide production.
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Highly sensitive analysis using 3D cell culture model
A research goal for ABS is to develop miniaturized platforms for research in (stem)cell, in-vitro systems and application in clinical and preventive research. Combined with the high throughput, this development will make it possible to study the dynamics of pathogenesis in human and cellular models…
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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.
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VODAN Africa – FAIR Covid-19 Data across Africa and Asia
VODAN Africa started as a platform to enable access to critical data needed from Africa to fight the novel COVID-19. The initiative was inspired by the experience from the Liberia Ebola Virus outbreak in 2014: early detection requires contact tracing. Inclusion of the most vulnerable is critical to…
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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…
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SIA-graph (Eurostars) – Social impact analysis graph
In this consortium CWTS (Leiden University) collaborates with two Swedish SMEs: Monocl AB and Recorded Future AB. Monocl AB delivers intuitive analysis software to Life Sciences professionals in support of strategic decisions and improvement of business performance. Recorded Future AB is an organization…
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Kin Enough, article by Irene Moretti in Social Analysis
Irene Moretti published the article Kin Enough in Social Analysis, The International Journal of Anthropology.
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Computational optimisation of optical projection tomography for 3D image analysis
Optical projection tomography (OPT) is a tomographic 3D imaging technique used for specimens in the millimetre scale.
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Big Data, Big Risks, Big Power Shifts: Evaluating the General Data Protection Regulation as an instrument of risk control and power redistribution
On 12 September 2019, Michiel Rhoen defended his thesis 'Big Data, Big Risks, Big Power Shifts: Evaluating the General Data Protection Regulation as an instrument of risk control and power redistribution in the context of big data'. The doctoral research was supervised by Prof. G.J. Zwenne and Prof.…
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Network analysis methods for smart inspection in the transport domain
Transport inspectorates are looking for novel methods to identify dangerous behavior, ultimately to reduce risks associated to the movements of people and goods. We explore a data-driven approach to arrive at smart inspections of vehicles.
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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.
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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.
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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.…
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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…
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Automated text analysis of policy-related documentation
Political institution (like the Council of the European Union and the European Parliament) generate large bodies of text. These great amounts of text can impossibly be read by a researcher. Contrary to human researchers, computers are able to read thousands of documents a day. In this research project…
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Micro-Blogging and Media Policy in China
Yuxi Nie defended her thesis on 15 October 2019.
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Distance-based analysis of dynamical systems and time series by optimal transport
Promotor: S.M. Verduyn Lunel
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Marinko Bobic
Faculty Governance and Global Affairs
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CEEDs, the Collective Experience of Empathic Data Systems
The Collective Experience of Empathic Data Systems (CEEDs) consortium developed novel integrated technologies that support experiencing, analysing and understanding of very large datasets.
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Handbook of Governance and Data Science
Edward Elgar
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Accessing End-Of-Supply Risk of Spare Parts Using Big Data
How to access the end-of-supply risk of spare pares using big data analytics
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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.
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Health Data Science special interest group
Health Data Science Leiden University
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Laura Zwep
Science
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Peter Grünwald
Science
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Marta Fiocco
Science
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Gino Bertrand Kpogbezan
Science
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Kevin Duisters
Science
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Jelle Goeman
Faculteit Geneeskunde
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Thijs Bos
Science
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From data to models: reducing uncertainty in benefit risk assessment: application to chronic iron overload in children
M. Danhof, Co-promotor: O.E. Della Pasqua
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Proper and improper uses of MCDA methods in energy systems analysis
In this article, Marco Cinelli, assistant professor at Leiden University College The Hague, examines proper and improper uses of Multiple Criteria Decision Analysis (MCDA) methods in energy systems analysis.
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Oliver Tuazon
Faculteit Rechtsgeleerdheid
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Data Centres for Natural Recources and Products
Creating information portals for support of European environmental policy.
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Functional analysis of agrobacterium tumefaciens virulence protein VirD5
Supervisor: P.J.J. Hooykaas
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A recipe for desert: analysis of an extended Klausmeier model
Promotores: Arjen Doelman, Jens Rademacher, Max Rietkerk
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Water use of electricity technologies: A global meta-analysis
Understanding the water use of power production is an important step to both a sustainable energy transition and an improved understanding of water conservation measures. However, there are large differences across the literature that currently present barriers to decision making.
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Constraint-Based Analysis of Business Process Models
Business Process Model and Notation (BPMN) has become the standard for business processes diagrams.
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Analysis of 13C and 15N isotopes from Eurasian Quaternary fossils
Insights in diet, climate and ecology
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Documentation and analysis of !Ora and !Ui languages
This project aims at describing the Khoisan languages !Ora (Korana/Griqua) and !Ui of South Africa.
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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.
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Multi-Omics in Research: Epidemiology, Methodology, and Advanced Data Analysis
PhD defence
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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…
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Multivariate Humanities
This case study-based textbook in multivariate analysis for advanced students in the humanities emphasizes descriptive, exploratory analyses of various types of data sets from a wide range of sub-disciplines, promoting the use of multivariate analysis and illustrating its wide applicability. Fields…
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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.
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Bibliometric Data Sources and Indicators (online)
Research
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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.
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SMALL Savannah : an information system for the integrated analysis of land use change in the Far North of Cameroon
Promotores: W.T. de Groot, M. Tchuenté, Co-promotor: J.P. Cheylan