1,199 search results for “from data to insight” in the Public website
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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
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Cor Veenman
Science
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Helena Vrabec
Faculteit Rechtsgeleerdheid
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Vincent Croft-
Science
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Jaap-Willem Mink
Faculteit der Sociale Wetenschappen
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Nees Jan van Eck
Faculteit der Sociale Wetenschappen
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Daniel Vale
Faculteit Rechtsgeleerdheid
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Julian Karch
Faculteit der Sociale Wetenschappen
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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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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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Transforming data into knowledge for intelligent decision-making in early drug discovery
Promotor: A.P.IJzerman Co-promotor: A. Bender
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Sport Data Center
Sport Data Center
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EU privacy and data protection law applied to AI: unveiling the legal problems for individuals
On 23 April, Andreas Häuselmann defended the thesis 'EU privacy and data protection law applied to AI: unveiling the legal problems for individuals'. The doctoral research was supervised by Gerrit-Jan Zwenne and Bart Custers.
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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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Richard Gill
Science
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Max van Haastrecht
Science
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Jacq Meulman
Science
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Rob Tijdeman
Science
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Somayeh Djafari
Faculteit Rechtsgeleerdheid
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Mason Marks
Faculteit Rechtsgeleerdheid
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Jenneke Evers
Faculteit Rechtsgeleerdheid
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Simon van Lierde
Science
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Bastienne Vriesendorp
Science
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Barend Mons
Faculteit Geneeskunde
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Insights into microtubule catastrophes: the effect of end-binding proteins and force
For each living organism health is ensured by correct functioning of its cells. Cells therefore have elaborate methods for regulation of their proteins.
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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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Kv 11.1 (hERG)-induced cardiotoxicity: a molecular insight from a binding kinetics study of prototypical Kv 11.1 (hERG) inhibitors
Source: Br. J. Pharmacol., Volume 172, Issue 3, pp. 940-55 (2015)
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A family affair? Exploratory insights into the role of family members of those who joined jihadist groups
Since 2012, thousands of individuals have traveled from Western countries to join jihadist groups in Syria and Iraq. While much has been written about these individuals, only sparse attention has been paid to the social environment of these jihadist travelers and, more specific, the role of family members…
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Niki van Stein
Science
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Matthijs van Leeuwen
Science
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Tom Wilderjans
Faculteit der Sociale Wetenschappen
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Alan Sears
Faculteit Rechtsgeleerdheid
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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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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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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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Islam and Society
Knowledge of Muslim societies is essential to function in a globalised world and to fully understand our own Dutch society. Leiden researchers explore the languages, cultures, religions, legal systems and history of Muslim societies and in this way contribute to a centuries-old tradition.
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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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Big data in archaeology: harnessing the hidden knowledge in the “graveyard” of Malta reports
The goal is to establish an intuitive search and querying service that allows researchers to quickly retrieve the most valuable digital resources, in order to allow them to integrate and synthesise the results into a coherent narrative of the past. The current focus of the project is to implement…
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Synergy Study: Sentinel2 –Sentinel3 Land Products
To deliver a Virtual Sensor tool optimised to exploit the synergy between Sentinels 2 and 3 to allow the consistent retrieval of land surface parameters (Albedo, LAI, and LST); To extend the existing capabilities of land EO data assimilation tools to add capacity to handle data in the thermal domain…
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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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EuDEco case study report (D1.3)
D1.3 describes a set of five case studies relevant in the context of the EuDEco project. Case studies are considered relevant if they are initiatives focusing on the promotion of big data and data reuse or pilots facilitating data reuse in one form or the other. The case studies were expected to allow…
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'Biologists also need to be a bit of a data analyst’
Biologists today have to be able to work with big data. Data analysis skills should be taught from the start of the degree programme, or - even better - in secondary school. This is the message of Vera van Noort, new Professor of Computational Biology. Inaugural lecture 22 January.
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Wessel Kraaij appointed Professor of Applied Data Analytics
Wessel Kraaij has been appointed Professor of Applied Data Analytics with effect from 1 March 2016. Kraaij will use new methods to analyse big data sets. He intends to use data from various data-intensive research fields to test these methods in practice.
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Sharing personal health data
Comparing individual health data with group data allows doctors to give personalised advice and patients to learn from one another's experiences. Wessel Kraaij, Professor of Applied Data Analytics, shows how personal data can have a valuable predictive function. Inaugural lecture 24 February.
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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.
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Decoding supplier codes of conduct with content and text as data approaches
The growing popularity of corporate self-regulation to address supply-chain issues puts Corporate Social Responsibility and specifically codes of conduct, at the centre of attention. In this article, Jaroslaw Kantorowicz, Sarah Vandenbroucke and Yvonne Erkens analyse supplier codes of conduct of multinational…