1,493 search results for “big data” in the Public website
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Data Science
The majority of scientists, from archaeologists through to zoologists, collect huge volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics, we can develop algorithms for analysing and identifying patterns…
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Bram Klievink in Trouw over dataprivacy
Last weekend, an article on data privacy appeared in Trouw. In this essay, Bram Klievink, Professor of Digitization and Public Policy at the FGGA, addresses the issue of data privacy. What are the downsides of the rules the tech giants have to abide by?
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Data science
The majority of scientists, from archaeologists through to zoologists, collect enormous volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics and computer science, we can develop algorithms for analyzing…
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Causal Discovery from High-Dimensional Data in the Large-Sample Limit
Developing robust algorithms and theory for establishing cause-effect relationships from observational data that scale up to large data sets
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Making energy personal: policy coordination challenges in UK smart meter implementation
Governments are increasingly facilitating the roll-out of so-called “smart meters”, a technology for measuring energy consumption that are able to transmit and receive data using a form of electronic communication. However, implementation has been slow or even stalled.
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Oliver Tuazon
Faculteit Rechtsgeleerdheid
o.m.tuazon@law.leidenuniv.nl | +31 71 527 8838
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citizens’ participation in public service delivery: the possibilities of data dashboards
Data science offers exciting new instruments for governments to reach out to citizens, for example by using data-driven information channels, providing real-time simulations, or personalizing services based on citizen data. At the same time, the possibilities and use of data science methods can have…
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Data use, online consumer needs, business strategies and regulatory response
This project aims to explore and examine the factors that impact upon the efficacy of information disclosure duties pertaining to customer data use in online business.
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More powerful data centre will accelerate research
Language evolution, targeted drugs or archaeological interpretation. Researchers are making increasing use of supercomputers that can rapidly process large quantities of data. This is one reason why the University data centre will be extended and updated. ‘Datamining means we can get a better picture…
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From Big Bang to algorithm
Smart algorithms and powerful processors are just as essential for astronomy as big telescopes. Astronomers at Leiden University therefore constantly operate at the interface between astronomy and data science.
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Nees Jan van Eck
Faculteit der Sociale Wetenschappen
ecknjpvan@cwts.leidenuniv.nl | +31 71 527 6445
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Helena Vrabec
Faculteit Rechtsgeleerdheid
h.u.vrabec@law.leidenuniv.nl | +31 71 527 8838
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Daniel Vale
Faculteit Rechtsgeleerdheid
d.s.vale@law.leidenuniv.nl | +31 71 527 8838
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Cor Veenman
Science
c.j.veenman@liacs.leidenuniv.nl | +31 71 527 5772
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Vincent Croft-
Science
v.a.croft@liacs.leidenuniv.nl | +31 71 527 4799
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Alan Sears
Faculteit Rechtsgeleerdheid
a.m.sears@law.leidenuniv.nl | +31 71 527 8154
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e-SIDES holds its first workshop at the CEPE/Ethicomp conference (Turin June 7th)
e-Sides is a Horizon 2020 project which aims at mapping ethical, legal, societal and economic challenges of the big data technologies. eLaw- Center for Law and Digital Technologies- is one of the members of the e-SIDES research consortium and its role within the project is to develop the systematic…
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Bart Custers presents at law and AI research in Tokyo
On 22 December 2018, Dr. Bart Custers, Associate Professor and Head of Research at eLaw, Center for Law and Digital technologies, presented research results of the e-SIDES project at the Artificial Intelligence and Cloud Computing Conference (AICCC 2018) in Tokyo, Japan. His presentation dealt with…
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Bart Custers delivers keynote address at Basel University
On May 16th 2018, the Law Faculty of Basel University organised a workshop on Law & Robots, titled Predictive Analytics bei Versicherungen und in der Arbeitswelt: Diskriminierung durch Algorithmen? (Predictive Analytics in Insurance and Labor: Discrimination by Algorithms?). At this event, dr. Bart…
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Bart Custers
Faculteit Rechtsgeleerdheid
b.h.m.custers@law.leidenuniv.nl | +31 71 527 8838
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Sports and data analytics: discovering the unknown known
The combination of data science and sports is a hot topic. In a talk during the opening of the Academic Year at the Faculty of Science, Professor Joost Kok explained what data analytics can teach us about sports.
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Inaugural lecture: Data of Value
By comparing individual health data with population data, doctors can provide personalized health advice and patients can learn from each other's experiences. Wessel Kraaij, professor of Applied Data Analytics shows how personal data can have predictive value.
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Jaap van den Herik
Faculteit Rechtsgeleerdheid
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Bram Klievink
Faculty Governance and Global Affairs
a.j.klievink@fgga.leidenuniv.nl | +31 70 800 9486
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Harmen van der Veer
Faculteit der Sociale Wetenschappen
h.a.a.van.der.veer@fsw.leidenuniv.nl | +31 71 527 2727
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Vlad Niculescu-Dinca
Faculty Governance and Global Affairs
v.niculescu-dinca@fgga.leidenuniv.nl | +31 70 800 9573
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Shivant Jhagroe
Faculty Governance and Global Affairs
s.s.jhagroe@fgga.leidenuniv.nl | +31 70 800 9904
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Data
Data Sets Department of Economics
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DAMIOSO - data mining on high volume simulation output
Modern computer-aided simulation tools used by various industries produce gigabytes of data. But currently, they take days and even up to weeks of computation effort. To make the best use of all these data, the DAMIOSO project focuses on developing algorithms and tools for managing, mining, and optimizing…
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Aske Plaat
Science
a.plaat@liacs.leidenuniv.nl | +31 71 527 7065
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Data governance: from open governmental data, to data commons
VVI Research Meeting 2023-2024
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New project on maintenance prediction for industries
With the use of big data, Leiden University is aiming to develop a system that sends automatic alerts when certain Industrial parts are starting to wear out. Researchers of the the Leiden Institute of Advanced Computer Science (LIACS) are developing a predictive maintenance platform together with, among…
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A treasure trove of legal data
Data science offers great opportunities for legal research, according to Simone van der Hof and Bart Custers (eLaw). But at the same time, we have to keep an eye on the unwanted side effects of big data - such as ethnic profiling.
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Inaugural lecture: Big pictures of small microbes
Bacteria are everywhere. They are the most abundant organisms on earth and impact all aspects of our lives. They determine our health and shape our environment. Ariane Briegel, professor of Ultrastructural Biology, freezes bacteria super fast to gain a true-to-nature image of the internal and external…
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SAPPAO - Optimizing the flight times of airplanes using data science
The SAPPAO project aims to optimise the accuracy and reliability of predicting scheduled flight times. The full name of the project is 'A Systems Approach towards Data Mining and Prediction in Airlines Operations'.
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EXALT: Excavating Archaeological Literature
We will use Artificial Intelligence to make an intelligent, multilingual search engine for archaeological texts, which will enable new discoveries about the human past.
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Exploratory Data Mining in Multimodal data
The change from a closed institution to an open living environment for patients with late stages of dementia will give the patients more freedom in their day-to-day life. The effect of this change on the patients’ mobility, activity and interaction with others will be assessed with sensor technology…
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Data-Driven Drug Discovery Network (D4N)
The Data-Driven Drug Discovery Network (D4N) is an initiative by researchers from Leiden University and collaborators to join efforts in applying and developing novel techniques from data science to drug discovery and related topics from bioinformatics.
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FAIR data
Open Science means not only sharing final research results but also the underlying data. A main way to do that is by making research data FAIR: Findable, Accessible, Interoperable and Reusable.
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Working with datasets that are larger than the entire university
Radio telescope LOFAR maps the sky. It produces incredibly detailed images of the universe - and vast amounts of data. Huub Röttgering, director of the Leiden Observatory, talks about the challenges of working with those enormous datasets.
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Data Management
LACDR adheres to strict data management rules, with the aim to make our data findable, accessible, interoperable and re-usable. For this reason all LACDR PhD candidates are required to prepare a data management plan and to implement data management rules accordingly. All PhD candidates follow a data…
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Inaugural lecture: Data science and Ebola
Today, everybody and everything produces data. People produce large amounts of data in social networks and in commercial transactions. Medical, corporate, and government databases continue to grow. Sensors continue to get cheaper and are increasingly connected, creating an Internet of Things, and generating…
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Mining Sensor Data from Complex Systems
Promotor: J.N. Kok, Co-Promotor: A.J. Knobbe
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Enriching official economic statistics using data-driven modelling techniques
Netherlands Statistics (CBS), Leiden University and the University of Amsterdam have started a collaboration in the form of a research project titled 'Enriching official economic statistics using data-driven modelling techniques'.
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Data exchange
What consequences does Brexit have for the protection of personal data?
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Helena Ursic will speak on a panel focused on the Cambridge Analytica scandal
Recently, Facebook and Cambridge Analytica have become highly polarizing figures in a data privacy scandal of global (and potentially historic) proportions. What does the Facebook and Cambridge Analytica controversy tell us about data privacy and cybersecurity in the age of Big Data?
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Laboratories for Digital Archaeology
The Digital Archaeology research group manages two computer laboratories with different purposes: the teaching lab (F1.01) and the research lab (A1.13a).
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Data based decision making processes in secondary education
How can teachers be motivated by their students’ data in making stepwise changes to their teaching practices?
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Leiden University and ICTU start research on software development
How can we further streamline the development of software for the government? Leiden University and ICTU are to investigate this in a joint research project that was launched on 6 July 2016.
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Statistical methods for microarray data
Promotores: J.C. van Houwelingen, S.A. van de Geer