990 search results for “support data centre” in the Public website
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A large-scale crop protection bioassay data set
ChEMBL is a large-scale drug discovery database containing bioactivity information primarily extracted from scientific literature.
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African Studies Centre Leiden Research Programme
The ASCL Research Programme for the years 2019-2024 is called ‘Strident Africa: Societal and Environmental Change in the Context of 50 Centuries of History’. It examines the dramatic changes taking place on the continent in terms of population growth, urbanization, the role of external actors and the…
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LUCSoR : Centre for the Study of Religion
Leiden University Centre for the Study of Religion (LUCSoR) studies religion as human activity, in all its diversity.
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Applied statistics as a pillar of data science
Data science is now growing fast in many places, but scholars at Leiden University have been developing data science techniques for a long time already. Thanks to their broad-based expertise, Leiden statisticians are currently combining the achievements in statistics with the latest methods of statistical…
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EU Erasmus+ Curriculum Development in Data Science and Artificial Intelligence
LIACS is a partner in the EU Erasmus+ Curriculum Development for the Asian education system. The knowledge available in the field of Data Science and Artificial Intelligence education will be shared and adapted for the Asian market.
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Centre for Microbial Cell Biology
The CMCB brings together microbial cell biology expertise in Leiden. It aims at optimal resonance between the groups and maximal exploitation of the available infrastructure and to develop innovative cross-boundary technology platforms.
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Centre for Interdisciplinary Genome Research
The CIGR brings together a diverse range of unique expertise in genome research rooted in biology, chemistry and physics. Members of the CIGR investigate genome folding and genome transactions. An important aspect is direct as well as long term relevance for medicine.
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Exploring big data approaches in the context of early stage clinical
Als gevolg van de grote technologische vooruitgang in de gezondheidszorg worden in toenemende mate gegevens verzameld tijdens de uitvoering van klinische onderzoeken.
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Liability of football clubs for supporters’ misconduct
On 19 May 2016, Rosmarijn van Kleef is expected to defend her PhD thesis entitled ‘Liability of football clubs for supporters’ misconduct. A study into the interaction between disciplinary regulations of sports organisations and civil law’ in Leiden. Supervisors are Professor Alex Geert Castermans…
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Centre for Legal Entrepreneurship and Innovation
The Centre for Legal Entrepreneurship and Innovation focuses on stimulating entrepreneurship and innovation in the legal sector. It builds a bridge between study and practice.
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Cheminformatics: Analyzing small-molecule activity data
While bioinformatics methods deal with the analysis of sequence information (be it proteins or DNA), the field of cheminformatics is concerned with the analysis of small-molecule datasets.
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Support with Active Learning & Teaching (SWAT)
You can get various forms of support for you active learning ambitions. Have you already reflected on your teaching practice and have a clear idea of your goals? Your first point of contact should then be your ICTO Coordinator & ICLON. Do you want to join the network of others involved in the topic?…
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Data Atlas of Byzantine and Ottoman Material Culture
Archiving Medieval and Post-Medieval Archaeological Fieldwork Data from the Eastern Mediterranean (600-2000)
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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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New sports and exam centre
Leiden University is currently preparing the development of a new sports and examination center in collaboration with the construction and design firm Binx Smartility. The current sports and examination center no longer meets sustainability requirements and is also becoming too cramped.
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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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Knowledge Discovery and Data Mining from patient experience repositories
This project develops a scientific method to extract clinically relevant new information from patient forum websites that discuss patient experiences concerning e.g. medication, nutrition, co-morbidities, genetic factors etc.
- Centre for Intercultural Philosophy events 2023 - 2024
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Centre for the Arts in Society (LUCAS)
Leiden University Centre for the Arts in Society (LUCAS) is dedicated to ground-breaking and interdisciplinary research dealing with the relations between culture and society.
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Leiden University Centre for International Relations
The Leiden University Centre for International Relations (LUCIR) is a multi-disciplinary platform promoting research and education on international relations at Leiden University.
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From Data to ACTive lifestyle in Wheelchair users (D-ACT-Wheel)
Making the Virtuagym e-platform suitable for wheelchair users with a spinal cord injury or lower limb amputation.
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Accessing End-Of-Supply Risk of Spare Parts Using Big Data
How to access the end-of-supply risk of spare pares using big data analytics
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Making big data meaningful for a promising start
All children deserve a promising start. Most children are doing fine. But some need extra support, because of problems during pregnancy or because they grow up in disadvantaged circumstances, e.g. due to poverty, parental addictions or psychological problems.
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Centre for Science and Technology Studies
How do you ensure that research is performed, evaluated and managed in a responsible way? This question is also of the utmost important to the University itself. The Centre for Science and Technology Studies (CWTS) studies scientific research and its relationship with technology, innovation and soci…
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Wouter van Loon
Faculteit der Sociale Wetenschappen
w.s.van.loon@fsw.leidenuniv.nl | +31 71 527 2727
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Why do citizens (not) support democratic innovations? The role of instrumental motivations in support for participatory budgeting
In recent years, the question why citizens (do not) support democratic innovations has attracted increasing academic attention. In this research note, Van Der Does & Kantorowicz for the first time empirically verify what drives citizens’ instrumental considerations in their evaluation of a DI.
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Spaces and Support for Active Learning & Teaching
Within the Vision on Teaching and Learning, one of the 8 ambitions is Activating Teaching and Learning. With the support of the Vice-Deans and Vice-Rector, Hester Bijl, the Saltswat project is working on accelerating this ambition. What is the purpose of this site? Being effective…
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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.
- Leiden Academic Centre for Drug Research
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Dutch Centre for Travel Writing Studies
The Dutch Center for Travel Writing Studies s a scientific center that develops and coordinates initiatives to promote research into travel writing. It actively seeks contact with external (scientific and social) partners to collaborate on issues surrounding cultural / national identity, cultural contact…
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Centre for Art, Literature and Law (CALL)
The center studies the many ways in which issues of law and justice are dealt with in art and literature with a focus on liminal issues and cases. These are issues and cases where law comes to the limits of what it is capable of dealing with and art and literature explore the implications of what is…
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Leiden Academic Centre for Drug Research
Drug development is a complex process in which many parties work together. Every day, the researchers at LACDR devote their energies to developing drugs that are new, better, more efficient and easier to produce. And thus to the millions of patients who know all too well why this research in Leiden…
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Sport Data Center appointed as Certified Partner of Sportinnovator
The Sport Data Center, a consortium of universities of which Leiden University is leader, is recognised as a Certified Partner of Sportinnovator. This makes the Sport Data Center an important part of the Sportinnovator ecosystem. Sportinnovator is the national programme for sports innovation, initiated…
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Centre for the Study of Political Parties and Representation
The Centre for the Study of Political Parties and Representation (CSPPR) aims to serve as an interdisciplinary platform for scholars of Leiden University for research focusing on the historical and contemporary operation and functioning of political parties and political representation, with a particular…
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Non-take-up of social support and the implications for social policies
This dissertation takes an important step in understanding the phenomenon of non-take-up of social support and what it means for contemporary social policies.
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Get support from the Service Centre International Staff (SCIS)
With the opening on 19 January 2017 of the Service Center International Staff (SCIS), foreign employees can get much more support than before. If you have any questions, feel free to visit the Service Center in the Administration building at Rapenburg.
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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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National identity predicts public health support during a global pandemic
Honorata Mazepus and Jaroslaw Kantorowicz are assistant professors at the Institute of Security and Global Affairs. Mazepus and Kantorowicz are one of the authors of this article in Nature on the role of national identity on public health support during global pandemics.
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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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R-QUEST – Centre for Research Quality and Policy Impact Studies
The Centre for Research Quality and Policy Impact Studies (R-QUEST), which is funded by the RCN FORINNPOL initiative, is an 8-year commitment of several partners to explore the nature and mechanisms of research quality.
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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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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