1,409 search results for “big data” in the Public website
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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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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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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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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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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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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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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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Science, Management and Innovation (SMI)
The Science, Management and Innovation (SMI) group examines organisational dynamics governing the management of complex R&D projects and technology commercialisation.
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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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Open Science in the Humanities: From Public Discourse to Qualitative Data
Lecture
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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.
- Open Science in the Humanities: From Public Discourse to Qualitative Data
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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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FAIR Surveys Project
This project aims to contribute to the improvement of documentation and archiving standards (conform the FAIR principles) for systematic Mediterranean archaeological field survey.
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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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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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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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Interdisciplinarity
YAL stimulates interdisciplinary collaboration.
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Metabolomics Implementation Network launched for fair data
On 10 March 2017, Professor Karel Luyben (TU Delft) welcomed the ‘Metabolomics GO FAIR Implementation Network’ as community initiative to start the European Open Science Cloud. The network aims to implement the FAIR data principles in the field of metabolomics in Europe.
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About the Department
Our staff has a strong international reputation and a broad research network, facilitating international student exchange. They lead projects world-wide, from France to the Caribbean, and from Ethiopia to Russia.
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Data science and sports: a winning combination
Athletes always strive for the top. How can data scientists assist them in improving their performance? During the seminar Data Science and Sports, the possibilities and challenges of collaboration between these two worlds were discussed.
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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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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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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…
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Fighting corona starts with sharing data responsibly
Gathering and distributing patient data can make an important contribution to containing the coronavirus. But if we want to be successful, we need better data. With this objective in mind, Leiden data stewards have joined the Virus Outbreak Data Network (VODAN).
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BNAIC/Benelearn conference big success
Reinforcement learning, agents and classification: these are just some of the topics researchers on Artificial Intelligence and Machine Learning discussed at the BNAIC/BeneLearn conference 2020. It was the first time Leiden University hosted the annually held Belgium Netherlands Artificial Intelligence…
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Dies Natalis: 'The big questions call for collaboration'
Universities cannot survive in this highly competitive world without collaboration. And the ultimate aim is to make the world a safer and more sustainable place. This was Rector Carel Stolker’s message during the 441st Dies Natalis.
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Applications of multisource data-based dynamic modeling to cell-cell signaling and infectious disease spreading
The emergence of complex diseases resulting from abnormal cell-cell signaling and the spread of infectious diseases caused by pathogens are significant threats to humanity. Unraveling the dynamic mechanisms underlying cell-cell signaling and infectious disease spreading is crucial for effective disease…
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Personalized Predictions for Migraine and Stroke from E-Health Sensor Data
The research of this PhD project can be subdivided into two main disease areas: migraine and stroke. For both we will be investigating how artificial intelligence (AI) and machine learning (ML) techniques can be used to study these afflictions, their (early) detection, and their potential treatment.
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Skating faster thanks to data science
The Netherlands has a lot of world-class speed skaters and footballers. Clever statistical analyses could help them perform even better. Leiden University is working on this together with Delft and Amsterdam.
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Mariëlle Linting
Faculteit der Sociale Wetenschappen
linting@fsw.leidenuniv.nl | +31 71 527 4098
- Lectures
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transient reductions in the speed of sound of the inflaton in cosmological data, and other topics
Promotor: Prof.dr. A. Achucarro
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Year in review FSW 2023
In this year in review we show you various projects we're very proud of. Driven by our values at the Faculty of Social and Behavioural Sciences.
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Career prospects
With an ever-increasing amount of data generated worldwide, industry, governments and academia highly welcome professionals with specific knowledge and skills to handle big data.
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Decoding supplier codes of conduct with content and text as data approaches
The growing popularity of corporate self-regulation to address supply-chain issues puts Corporate Social Responsibility and specifically codes of conduct, at the centre of attention. In this article, Jaroslaw Kantorowicz, Sarah Vandenbroucke and Yvonne Erkens analyse supplier codes of conduct of multinational…
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reconstruction of the codex Añute palimpsest using hyperspectral imaging data
A technique originally developed for satellite imaging can now be used to recover pictographic texts from underneath the surface of a five hundred year old Mexican manuscript.
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Symposium with first cohort of Data Science PhD students
On Tuesday, January 30th, the first symposium of the Data Science Research Programme took place at the Sylvius Building.
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Data Science certificates awarded to employees of Ministry IenW
On Monday, June 24th, 24 employees of the Ministry of Infrastructure and Water Management (IenW) received their certificates for completing Data Science courses, offered by the Leiden Centre of Data Science.
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Strategic Partnerships/ Cooperation Partnerships
Erasmus+ Strategic Partnerships (Key Action 2) are transnational projects designed to develop and share innovative practices and promote cooperation, peer learning, and exchanges of experiences in the fields of education, training, and youth. There are two kinds of Strategic Partnership; those supporting…
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Routledge Handbook of Interdisciplinary Research Methods
Illustrations of the challenges and rewards of doing and representing interdisciplinary research through the methodological developments of 50 experienced researchers.
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Next444
The Next444 project focuses on the future of interdisciplinary research at Leiden University.
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Application of technology
Our courses embrace developments in technology. Our teachers adapt technological innovations to their discipline, and we keep our teaching up to date on rapid developments in the digital world.