623 search results for “big data” in the Public website
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Knowledge Discovery and Data Mining from patient experience repositories
This project develops a scientific method to extract clinically relevant new information from patient forum websites that discuss patient experiences concerning e.g. medication, nutrition, co-morbidities, genetic factors etc.
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From Data to ACTive lifestyle in Wheelchair users (D-ACT-Wheel)
Making the Virtuagym e-platform suitable for wheelchair users with a spinal cord injury or lower limb amputation.
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Wouter van Loon
Faculteit der Sociale Wetenschappen
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Deep learning for tomographic reconstruction with limited data
Tomography is a powerful technique to non-destructively determine the interior structure of an object.Usually, a series of projection images (e.g.\ X-ray images) is acquired from a range of different positions.
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Sharing personal health data
Comparing individual health data with group data allows doctors to give personalised advice and patients to learn from one another's experiences. Wessel Kraaij, Professor of Applied Data Analytics, shows how personal data can have a valuable predictive function. Inaugural lecture 24 February.
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Using statistics to prevent the loss of blood donors
The Sanquin blood bank gathers data on every donation. Around 720,000 donations are made every year. ‘That generates a mountain of highly valuable data,’ says Leiden PhD candidate Marieke Vinkenoog.
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Why fundamental science matters
Why do we need fundamental science? For a lot of reasons, speakers showed at the Lustrum Symposium ‘Science Matters’. This symposium was held on 18 March 2016 to celebrate the 200th anniversary of the Faculty of Science.
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Based Clustering of Objects on Subsets of Attributes in High-Dimensional Data
This monograph focuses on clustering of objects in high-dimensional data, given the restriction that the objects do not cluster on all the attributes, not even on a single subset of attributes, but often on different subsets of attributes in the data.
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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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Data-Driven Machine Learning and Optimization Pipelines for Real- World Applications
Machine Learning is becoming a more and more substantial technology for industry.
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Design and development of a comprehensive data management platform for cytomics: cytomicsDB
Promotor: J.N. Kok, Co-promotor: F.J. Verbeek
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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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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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Frank Takes
Science
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Jaap-Willem Mink
Faculteit der Sociale Wetenschappen
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Julian Karch
Faculteit der Sociale Wetenschappen
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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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'Biologists also need to be a bit of a data analyst’
Biologists today have to be able to work with big data. Data analysis skills should be taught from the start of the degree programme, or - even better - in secondary school. This is the message of Vera van Noort, new Professor of Computational Biology. Inaugural lecture 22 January.
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FAIR Principles herald more open, transparent, and reusable scientific data
Today, March 15 2016, the FAIR Guiding Principles for scientific data management and stewardship were formally published in the Nature Publishing Group journal Scientific Data.
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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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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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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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Richard Gill
Science
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Max van Haastrecht
Science
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Jacq Meulman
Science
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Rob Tijdeman
Science
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Mason Marks
Faculteit Rechtsgeleerdheid
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Simon van Lierde
Science
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Bastienne Vriesendorp
Science
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Barend Mons
Faculteit Geneeskunde
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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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Reijer Passchier: Alternatives need to be created for services of big tech companies
How can more people take ownership of technology? Underlying this question is the assumption that not enough people currently own technology. According to Reijer Passchier, Associate Professor of Constitutional and Administrative Law in Leiden, and Professor of Digitisation and the Democratic Rule of…
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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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Niki van Stein
Science
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Matthijs van Leeuwen
Science
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Tom Wilderjans
Faculteit der Sociale Wetenschappen
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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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Teachers' use of progress data in planning and evaluating instruction for students with learning disabilities
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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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eLaw well represented at CPDP2018
From Jan. 24 until Jan. 26 the 11th annual conference on Computers, Privacy and Data Protection (CPDP) takes place in Brussels. The Leiden Center for Law and Digital Technologies (eLaw) will be represented in several of the panels at the conference.
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EuDEco/eLaw panel on accountability in algorithmic networks at CPDP2018
As partner within the EuDEco-poject, the Centre for Law and Digital Technologies (eLaw) organized a panel titled “Filling accountability holes in algorithmic networks” as part of the 11th annual conference on Computers, Privacy and Data Protection (CPDP), January 24-26 2018 in Brussels.
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The interpretation of physical activity wearable data and its relation with metabolic and brain health in older adults
Quantifying physical activity (using accelerometers) and combining the frequency and intensity of activities with health data (brain MRI, traditional clinical parameters and metabolomics) is of utmost importance to monitor mobility and health among older individuals and study health promotion during…
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ultimate leadership challenge: making critical decisions without enough data
The coronacrisis is emerging as the ultimate test for political leaders. How do national political leaders get ahead or behind ‘the curve’ of fast-changing dynamics. Martin Lodge (London School of Economics and Political Science) and Arjen Boin (Leiden University Institute of Political Science) look…
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tools for the exchange, analysis and communication of anonymised patient data
This project is a collaboration between Sanquin, LUMC and LIACS. It focuses on the development of meta-modelling methods and tools for the exchange, analysis, and publication of anonymised patient data. Measures are being constructed to evaluate both the level of privacy and the extent to which an anonymized…