1,420 search results for “data management” in the Public website
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Jenneke Evers
Faculteit Rechtsgeleerdheid
g.h.evers@law.leidenuniv.nl | +31 71 527 8838
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Bastienne Vriesendorp
Science
b.vriesendorp@biology.leidenuniv.nl | +31 71 527 2727
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Barend Mons
Faculteit Geneeskunde
b.mons@lumc.nl | +31 71 526 9111
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Max van Haastrecht
Science
m.a.n.van.haastrecht@liacs.leidenuniv.nl | +31 71 527 4799
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Management of small-scale -African fisheries: The Case of Elephant Marsh in Malawi
How does the management of Elephant Marsh Fishery in Malawi relate to wider contexts of policies, theories and regions? And how can the current management system be adapted to achieve long-term sustainability of the fishery?
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Introduction: maritime conflict management, diplomacy and international law, 1100-1800
Maritime conflict management is the regulation of conflict in relation to the sea. It comprises conflict enforcement, conflict resolution and conflict avoidance. How did victims of maritime conflicts claim and obtain damages or demand compensation or reparation?
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Crisis and Security Management: Governance of radicalism, extremism and terrorism (MSc)
Are you thinking about studying Crisis and Security Management: Governance of radicalism, extremism and terrorism? Learn more and watch the videos.
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interaction between spatiotemporal patterns and agri-environmental management
Promotor: G.R. de Snoo, Co-promotor: C.J.M. Musters
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Management implications for invertebrate assemblages in the Midwest American agricultural landscape
Promotor: G.R. de Snoo Co-promotor: C.J.M. Musters
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learning-based NO2 estimation from seagoing ships using TROPOMI/S5P satellite data
The marine shipping industry is one of the strongest emitters of nitrogen oxides (NOx), a pollutant detrimental to ecology and human health. Over the last 20 years, the pollution produced by power plants, the industry sector, and cars has been decreasing.
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FAIR Principles herald more open, transparent, and reusable scientific data
Today, March 15 2016, the FAIR Guiding Principles for scientific data management and stewardship were formally published in the Nature Publishing Group journal Scientific Data.
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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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The Capacity to Innovate: Cluster Policy and Management in the Biotechnology Sector
In this book, Sarah Giest, Assistant Professor at the Institute of Public Administration, provides insight into the collaborative and absorptive capacities needed to provide public support to local innovation through cluster organizations.
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Conflict Management in the Mediterranean and the Atlantic, 1000-1800
Pre-modern long-distance trade was fraught with risks which often created conflicts of interest. The ensuing disputes and the ways the actors involved dealt with them belong to the field of conflict management.
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Efficacy of Self-management training in adolescents and adults with Klinefelter syndrome (XXY)
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Matthijs van Leeuwen
Science
m.van.leeuwen@liacs.leidenuniv.nl | +31 71 527 7048
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Tom Wilderjans
Faculteit der Sociale Wetenschappen
t.f.wilderjans@fsw.leidenuniv.nl | +31 71 527 6058
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Alan Sears
Faculteit Rechtsgeleerdheid
a.m.sears@law.leidenuniv.nl | +31 71 527 8154
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Niki van Stein
Science
n.van.stein@liacs.leidenuniv.nl | +31 71 527 2727
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Vertical interventions? The local politics of migration management and policing in intra-Schengen borderlands
What is the role of local authorities and communities in shaping how inter-Schengen borders are understood and dealt with?
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A three-step approach to supporting patient self-management in clinical practice
The aim of this project is to develop, evaluate, and multicentre implement a blended form of cardiac rehabilitation that uses a theory-based approach to guide patients to full self-management.
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Post-Crimea Shift in EU-Russia Relations: From Fostering Interdependence to Managing Vulnerabilities
Ludo Block wrote the eleventh chapter of the book 'Post-Crimea Shift in EU-Russia Relations: From Fostering Interdependence to Managing Vulnerabilities'. His chapter 'Business as Usual? Police Cooperation under a Cloud of Political Animosity' can be found on page 204 of the book.
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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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Teachers' use of progress data in planning and evaluating instruction for students with learning disabilities
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LIFES: From Reusable Data to New Treatments and Faster Diagnoses
Early diagnosis, new treatments, and personalised care: all of these are possible if we can better unlock the wealth of information hidden in health data. Unfortunately, this data is often poorly organised, difficult to access, and not interoperable. The new international Leiden Institute for FAIR and…
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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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Monique van den Dries
Faculteit Archeologie
m.h.van.den.dries@arch.leidenuniv.nl | +31 71 527 2383
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Roos van der Vaart
Faculteit der Sociale Wetenschappen
r.van.der.vaart@fsw.leidenuniv.nl | +31 71 527 2727
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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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Dead body management in armed conflict: paradoxes in trying to do justice to the dead
The world is full of wars, and no war is without its dead. What happens to the bodies of fatal casualties of armed conflict? The winner of the faculty Jongbloed Thesis Prize 2015 is Welmoet Wels (Public International Law). Her thesis Dead body management in armed conflict: paradoxes in trying to do…
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Data science and visualisation by the government
On 20 February 2019, a special meeting on data science took place in the House of Representatives. The aim of the meeting was to start a dialogue with government organisations about data developments within the government.
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Soil and crop management options to improve nitrogen cycling on dairy farms on peat soil
The main research question of this thesis was: Can nitrogen cycling on dairy farms on peat soil in the Dutch Green Heart area be improved by adapting management to the nitrogen supply from soil and by using other grassland species and crops without affecting milk production?
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Un-solvable crises? Differential implementation and transboundary crisis management in the EU
Examining policy integration's adjustment to diverse implementations in cross-border crisis management, the article analyses institutional choices' impact on the process.
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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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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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Covering the Ocean. Newspapers and Information Management in the Atlantic World, 1580-1820
This project investigates how early print media covered distant but urgent geopolitical conflicts, using newspapers from the Low Countries, north and south.
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Managing a sustainable career in the contemporary world of work: Personal choices and contextual challenges
On 9 June 2020, Maral Darouei defended her thesis 'Managing a sustainable career in the contemporary world of work: Personal choices and contextual challenges'. The doctoral research was supervised by Prof. J.I. van der Rest.
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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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Staying healthy with big data
By analysing the metabolism using big data techniques, we can identify health risks at an earlier stage. Thomas Hankemeier, professor of Analytical Biosciences at the Leiden Academic Centre for Drug Research, explains how that works.
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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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circadian clock: An integration of computational methods and empirical data
PhD defence
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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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Skipping to improve scar management: Modulation of TGF-β signalling in hypertrophic scars via exon skipping
PhD defence
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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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Unexpected data are good for business
Data play an important role in any organization. More and more data are available about products, about production processes and about customers. At the annual LIACS Business Event on Wednesday 18 January, the central message was how to find irregularities in Big Data, and how it can help you to track…
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Leiden bachelor students analyse data EC soccer
Leiden bachelor students analyse data EC soccer Students are now familiar with something sports journalists already knew: summer holidays can be a time of hard labour. Everybody else is lying on the beach, but for you, it is the busiest time of the year. Leiden bachelor students collected the data…
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detection and GIS for archaeological prospection in remotely-sensed data
The manual analysis of remotely-sensed data is a widespread practice in local and regional scale archaeological research, as well as heritage management.
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Managing water is managing the future
“A partnership based on water” summarised Gerhard van den Top the relationship between the Netherlands and the Philippines in the 4th Louwes Lecture. He emphasised the significant role of international and intercultural cooperation in managing the complex challenges brought forward by climate change.…
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Personalized Predictions for Migraine and Stroke from E-Health Sensor Data
The research of this PhD project can be subdivided into two main disease areas: migraine and stroke. For both we will be investigating how artificial intelligence (AI) and machine learning (ML) techniques can be used to study these afflictions, their (early) detection, and their potential treatment.