939 search results for “big data” in the Public website
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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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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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Jaap-Willem Mink
Faculteit der Sociale Wetenschappen
j.a.b.mink@fsw.leidenuniv.nl | +31 71 527 6801
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Julian Karch
Faculteit der Sociale Wetenschappen
j.d.karch@fsw.leidenuniv.nl | +31 71 527 3493
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Frank Takes
Science
f.w.takes@liacs.leidenuniv.nl | +31 71 527 7143
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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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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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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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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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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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Richard Gill
Science
gill@math.leidenuniv.nl |
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Jacq Meulman
Science
j.j.meulman@math.leidenuniv.nl | +31 71 527 2727
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Rob Tijdeman
Science
tijdeman@math.leidenuniv.nl | +31 71 527 4831
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Mason Marks
Faculteit Rechtsgeleerdheid
m.m.marks@umail.leidenuniv.nl | +31 71 527 5200
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Simon van Lierde
Science
s.n.van.lierde@cml.leidenuniv.nl | +31 71 527 2727
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Bastienne Vriesendorp
Science
b.vriesendorp@biology.leidenuniv.nl | +31 71 527 2727
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Barend Mons
Faculteit Geneeskunde
b.mons@lumc.nl | +31 71 526 9111
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Max van Haastrecht
Science
m.a.n.van.haastrecht@liacs.leidenuniv.nl | +31 71 527 4799
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Five questions on event 'Leadership in the digital transition'
Minister Alexandra van Huffelen will attend the 'Leadership in the digital transition' event at Campus Wijnhaven organised by Alex Ingrams on 16 February. Five questions to Ingrams about the event.
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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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From intuition to data
Dutch speedskaters have been winning the most medals in speed skating at the Winter Olympics for years. How? Based on their intuition. Scientist Jeroen van der Eb of the Data Mining & Sports group of the Leiden Institute of Advanced Computer Science (LIACS) wants speedskaters to adjust their irons based…
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Matthijs van Leeuwen
Science
m.van.leeuwen@liacs.leidenuniv.nl | +31 71 527 7048
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Tom Wilderjans
Faculteit der Sociale Wetenschappen
t.f.wilderjans@fsw.leidenuniv.nl | +31 71 527 6058
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Niki van Stein
Science
n.van.stein@liacs.leidenuniv.nl | +31 71 527 2727
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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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Leiden bachelor students analyse data EC soccer
Leiden bachelor students analyse data EC soccer Students are now familiar with something sports journalists already knew: summer holidays can be a time of hard labour. Everybody else is lying on the beach, but for you, it is the busiest time of the year. Leiden bachelor students collected the data…
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Data science and visualisation by the government
On 20 February 2019, a special meeting on data science took place in the House of Representatives. The aim of the meeting was to start a dialogue with government organisations about data developments within the government.
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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 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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Helena Vrabec’s new book on Data subject rights
In a new book forthcoming with Oxford University Press, Dr Helena U Vrabec, guest researcher at eLaw and privacy lawyer at Palantir Technologies, explores the area of control rights under the GDPR.
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Building a bridge between data science and the social and behavioural sciences
What is the best living environment for dementia patients? To answer this question, Daniela Gawehns is using data mining methods to search through different types of data source. Her research is inadvertently building a bridge between two disciplines that are sometimes somewhat wary of each other.
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Reijer Passchier on radio about Big Tech
Last Saturday, Reijer Passchier was a guest on one of his favourite radio programmes: Dr. Kelder en Co.
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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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‘Technology shouldn’t shape our future; we should’
Technology holds so much promise – from self-driving cars to enhanced physical performance from smart implants under the skin. But we should not let ourselves be caught off guard. That is the message of Bart Custers, Professor of Law and Data Science in his inaugural lecture on 21 May. ‘We don’t talk…
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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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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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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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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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Governments overly optimistic about the use of digital innovations
The government is digitalizing and making use of ‘big data’ in its decision making processes. But the expectations of digitalization are often overly optimistic, according to Bram Klieving, Professor Digitalization and Public Policy. Klievink is about to start with multidisciplinary research looking…
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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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Legal expert Reijer Passchier on the law, Big Tech and Big Brother
Is the child benefits scandal an omen for the future and will people’s lives soon be fully dominated by algorithms? Assistant Professor of Constitutional and Administrative Law Reijer Passchier warns that the encroaching digitalisation is giving the executive branch even more power, leaving parliament…
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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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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.