2,185 search results for “data energy” in the Public website
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Statistical Science
The research programme Statistical Science is concerned with the analysis and interpretation of masses of data, the quantification of uncertainty using probability models, and the development and benchmarking of algorithms and methods with these aims.
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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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Book: The Colours of Energy
Huub de Groot is one of the 55 authors for the book The Colours of Energy. The book consists of Essays on the Future of Energy in Society in which leading energy thinkers explore the future of energy in society.
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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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SCALES project
How to strike a balance between the sometimes conflicting stakes of individual, public and private data-producers and data-processors?
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Transition to renewable energy requires more space - but it will be much cleaner
To generate renewable energy takes more space than one might think. New research by environmental scientist Paul Behrens and master's student John van Zalk shows how much space is needed for nine specific types of energy. Biomass, hydro and wind, while vital, take up the most space. Natural gas and…
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Energy transition: let’s opt for a combined approach
Despite the rapid progress in solar and wind energy, a completely clean energy supply remains a huge challenge. Heavy industry, aviation, shipping and road transport are not yet able to do without carbon-based fuels. To reach the climate goals, in these industries energy consumption should be CO2 neutral. In…
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NWO funding for just and effective energy transitions
A consortium led by Eefje Cuppen, Professor Governance of Sustainability at the Institute of Public Administration, has been granted NWO funding for a research project looking into the social, societal, and technical aspects of the energy transition.
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Granted STW Project: Energy Efficient Computer-Brain Interaction
The STW project Energy Efficient Computer-Brain Interaction (principal investigator for LIACS: dr. T.P. Stefanov) has been granted. Funding for LIACS: 1 PhD student + travel/equipment budget, project duration: 4 years.
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'Refrigerators are real energy consumers'
On 10 Friday, 'Warm Sweater Day', the central heating in University buildings was set a few degrees lower. Those who are not so warm-blooded could take comfort knowing that there are students who are deliberately keeping the heating turned down the whole winter.
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Sustained picture of energy consumption at Leiden University
The energy and water consumption and CO2 footprint of all buildings at Leiden University can now be seen on its new Duurzaam in Beeld website. ‘We do a lot about sustainability,’ says Jeroen Waijenberg, Sustainability and Energy Coordinator at the University’s Real Estate Directorate. ‘But our efforts…
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The flux and flow of data: connecting large datasets with machine learning in a drug discovery envirionment
This thesis focuses on data found in the field of computational drug discovery. New insight can be obtained by applying machine learning in various ways and in a variety of domains. Two studies delved into the application of proteochemometrics (PCM), a machine learning technique that can be used to…
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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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'When I talked about the materials for an energy transition in 2010, people almost started to laugh'
In order to build wind turbines and electric cars, we need tons of magnets. Currently, we import these mainly from China, which means Europe is very dependent on this superpower for the energy transition. This has to change, according to industrial ecologist René Kleijn. In the REEsilience project,…
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Beyond random and forbidden interactions : how optimizing energy gain results in morphological matching among subalpine Asteraceae and their
Plants and their pollinators form complex interaction networks. Within these networks, species differ widely in the number of species they interact with.
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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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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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Real-life data ask for strong algorithms: Mitra Baratchi designs them
How do we deal with large sources of greenhouse gases? Do schools provide a socially-inclusive environment for all children? And how can we protect Earth’s nature? These questions have two things in common: they are complex global challenges, and data can help answer them. Mitra Baratchi is computer…
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25 million euros for research into energy from plants and algae
On Friday 10 July the Towards Biosolar Cells research programme was granted a budget of 25 million euros by the Dutch Government. The Ministry of Agriculture, Nature and Food Quality recommended the programme because it will contribute to green energy, improve food supplies and a create a more sustainable…
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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-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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Gregory receives Veni grant for research on the sustainability of open data infrastructures
Data about COVID-19 were everywhere during the pandemic, but how will all this data continue to be managed and kept open so that it is usable in the future? We spoke with Kathleen Gregory, researcher at the Centre for Science and Technology Studies (CWTS), who will study this question in a new project…
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LDE white paper on critical materials, green energy and geopolitics
With its Green Deal The European Union has set itself much-needed ambitious climate goals. But the energy crisis and geopolitical tensions are making these difficult to achieve. Seven researchers from the Leiden-Delft-Erasmus Universities (LDE) alliance have written a white paper offering solutions.
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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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Modelling the dynamics of the innovation process: a data-driven agent-based approach
Promotor: Prof.dr. B.R. Katzy, Co-promotor: R. Ortt
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René Kleijn about low-carbon energy
How will we generate energy without further contributing to global warming? Industrial ecologist René Kleijn tells about low-carbon energy in tv and radio show Focus, and in VPRO Magazine.
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Honorary Doctorate for Marc Koper: Significant recognition for sustainable energy research
A festive and honourable visit to our southern neighbours for professor Marc Koper. On Thursday 23 March, he received an honorary doctorate at the University of Antwerp. Koper gets the title in recognition of his expertise in the field of electrochemistry. ‘An important recognition for our research…
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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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Frank Takes
Science
f.w.takes@liacs.leidenuniv.nl | +31 71 527 7143
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Cor Veenman
Science
c.j.veenman@liacs.leidenuniv.nl | +31 71 527 5772
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Helena Vrabec
Faculteit Rechtsgeleerdheid
h.u.vrabec@law.leidenuniv.nl | +31 71 527 8838
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Vincent Croft-
Science
v.a.croft@liacs.leidenuniv.nl | +31 71 527 4799
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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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Nees Jan van Eck
Faculteit der Sociale Wetenschappen
ecknjpvan@cwts.leidenuniv.nl | +31 71 527 6445
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Daniel Vale
Faculteit Rechtsgeleerdheid
d.s.vale@law.leidenuniv.nl | +31 71 527 8838
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Julian Karch
Faculteit der Sociale Wetenschappen
j.d.karch@fsw.leidenuniv.nl | +31 71 527 3493
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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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Sebastiaan Deetman
Science
s.p.deetman@cml.leidenuniv.nl | +31 71 527 5616
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Kai Li
Science
k.li@cml.leidenuniv.nl | +31 71 527 2727
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Oscar Rueda
Science
o.rueda@cml.leidenuniv.nl | +31 71 527 2727
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Bending DNA costs less energy than assumed
The way DNA folds, largely determines which genes are read out. John van Noort and his group have quantified how easily rolled-up DNA parts stack. This costs less energy than previously assumed. Publication in Biophysical Journal.
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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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Will soap and sunlight solve the energy problem?
A consortium of international researchers comes with a unique solution to the energy problem. By mimicking photosynthesis, they aim to produce sustainable fuels out of sunlight, water, and CO2. Their secret? ‘Soap bubbles’, says Leiden chemist Sylvestre Bonnet, who is part of the consortium.
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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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Leiden University launches Data Science research programme
Leiden University is investing 4 million euros in a new Data Science research programme. This is a joint initiative of all the faculties, headed by Dean Geert de Snoo at the Faculty of Science. The programme will focus on Leiden scientific data.
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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.