1,784 search results for “data energy” in the Public website
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Jenneke Evers
Faculty of Law
g.h.evers@law.leidenuniv.nl | +31 71 527 8838
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Catalyzing knowledge ecosystems for societal transitions: Advancing knowledge ecosystems for electrochemical conversion
Both the Dutch government and the European Commission dedicate an increasing share of public funding for research and innovation to mission-oriented programs, aiming to facilitate sustainability transitions. These programs typically involve support fora range of different research activities, from the…
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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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Electrochemistry for renewable energy
Imagine we could convert the greenhouse gas CO2 into synthetic fuels using sustainable energy. This would enable us to reduce the amount of CO2 and at the same time store wind and solar energy in an innovative way. Chemist Akansha Goyal (Leiden University) is conducting fundamental research to make…
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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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Annemiek de Looze
Faculty of Governance and Global Affairs
a.m.m.de.looze@fgga.leidenuniv.nl | +31 70 800 9500
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Sander ten Caat
Faculty of Governance and Global Affairs
s.ten.caat@fgga.leidenuniv.nl | +31 70 800 9500
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Vincent Croft-
Faculty of Science
v.a.croft@liacs.leidenuniv.nl | 071 5272727
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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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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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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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Joost van den Berg
Faculty of Humanities
j.h.van.den.berg@hum.leidenuniv.nl | +31 71 527 2727
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Rob Tijdeman
Faculty of Science
tijdeman@math.leidenuniv.nl | 071 5274831
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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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Jacqueline Meulman
Faculty of Science
j.j.meulman@math.leidenuniv.nl | 071 5272727
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Oscar Rueda
Faculty of Science
o.rueda@cml.leidenuniv.nl | +31 71 527 2727
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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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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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Bastienne Vriesendorp
Faculty of Science
b.vriesendorp@biology.leidenuniv.nl | +31 71 527 2727
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Jaap-Willem Mink
Social & Behavioural Sciences
j.a.b.mink@fsw.leidenuniv.nl | +31 71 527 6801
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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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Understanding Homicide in Indonesia: Harnessing Traditional and New Media Data for Insight
To what extent is it possible to utilise traditional and new media data to examine and understand the nature and scope of homicide in Indonesia?
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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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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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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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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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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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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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Between Canon and Coincidence: using data-driven approaches to understand Art Worlds (BECACO)
Indigenous Latin American artifacts have attracted the interest of Europeans since the earliest moment of contact between Europeans and the Indigenous peoples of the Americas. The ERC-funded BECACO project uses an innovative multidisciplinary framework to investigate the provenance of ethnographic and…
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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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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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Fatma Çapkurt
Faculty of Law
f.capkurt@law.leidenuniv.nl | +31 71 527 7278
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Sport Data Center
Sport Data Center
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Kiana Shahrasbi
Faculty of Science
k.shahrasbi@liacs.leidenuniv.nl | 071 5272727
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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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Two cum laude distinctions for storing renewable energy
Both Leon Jacobse and Thom Hersbach from Marc Koper's research group obtained their PhDs cum laude. They both investigated changes on the surface of a platinum electrode. Jacobse studied this at a positive voltage, Hersbach at a negative voltage. Platinum has the potential to convert renewable energy…
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Mirko Forastiere
Faculty of Science
m.forastiere@cml.leidenuniv.nl | +31 71 527 2727
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Mariana Braz Pires
Faculty of Science
m.braz.pires@cml.leidenuniv.nl | +31 71 527 2727
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Carina Harpprecht
Faculty of Science
c.i.harpprecht@cml.leidenuniv.nl | +31 71 527 2727
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Stefan van der Vorm
Faculty of Science
s.van.der.vorm@chem.leidenuniv.nl | +31 71 527 4269
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Shijie Wei
Faculty of Science
s.j.wei@cml.leidenuniv.nl | 071 5272727
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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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Transforming data into knowledge for intelligent decision-making in early drug discovery
Promotor: A.P.IJzerman Co-promotor: A. Bender