763 search results for “data access” in the Public website
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Rationality and politics of algorithms. Will the promise of big data survive the dynamics of public decision making?
Big data promises to transform public decision-making for the better by making it more responsive to actual needs and policy effects. However, much recent work on big data in public decision-making assumes a rational view of decision-making, which has been much criticized in the public administration…
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Andreas Häuselmann
Faculteit Rechtsgeleerdheid
a.n.hauselmann@law.leidenuniv.nl | +31 71 527 5200
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Access to remediation
When companies violate women’s human rights.
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Software and data for circular economy assessment
This thesis investigates how the assessment of circular economy (CE) at the macro-economic level can be facilitated and promoted.
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Pieter Kroonenberg
Faculteit der Sociale Wetenschappen
p.m.kroonenberg@fsw.leidenuniv.nl | +31 71 527 2727
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Oliver Tuazon
Faculteit Rechtsgeleerdheid
o.m.tuazon@law.leidenuniv.nl | +31 71 527 8838
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Structural Health Monitoring Meets Data Mining
Promotor: Prof.dr. J.N. Kok, Co-promotor: Dr. A.J. Knobbe
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Multi-dimensional feature and data mining
In this thesis we explore machine and deep learning approaches that address keychallenges in high dimensional problem areas and also in improving accuracy in wellknown problems. In high dimensional contexts, we have focused on computational fluid dynamics (CFD) simulations.
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Nanodata – Data providing services in support of research and policy in the field of nanosciences and nanotechnologies
This project, commissioned by DG Research and Innovation, aims to provide information for policies that lead to the creation and improvement of the conditions which will allow researchers and European industries to safely master the properties of nanomaterials and to innovate with nanotechnology.
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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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Packaging and accessing DNA molecules
Our DNA molecules are packaged by proteins in compact structures. The aim of this project is to understand how modern gene editing techniques nevertheless get access to their target in the DNA.
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Opening times and Accessibility
The opening times of the Humanities buildings vary. The Lipsius building is opened during evenings as well, the other faculty buildings retain office hours.
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Essays on wealth, health, and data collection
On 21 November 2018, Lieke Kools defended her thesis 'Essays on wealth, health, and data collection'. The doctoral research was supervised by Prof. dr. K.P. Goudswaard en Prof. dr. C.L.J. Caminada.
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Data Breaches and Effective Crisis Communication: A Comparative Analysis of Corporate Reputational Crises
Online data breaches are recurrent and damaging cyber incidents fors organizations worldwide. This study examines how organizations can effectively mitigate reputational damages in the aftermath of data breaches by hacking, through situational crisis communication strategies.
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Johannes Schmidt-Hieber
Science
schmidthieberaj@math.leidenuniv.nl | +31 71 527 2727
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Enhancing access to EU law: Why bother?
In the past years access to EU law has been significantly enhanced via services such as EUR-Lex. This development not only allows for easy retrieval of individual legal acts, but for collecting information about the evolution of EU law in the aggregate as well.
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Data Science for State-of-the-Art Blood Banking (BloodStart)
There are around 300,000 people in the Netherlands who donate blood on a regular basis. Women can give blood up to three times a year and men up to five times, resulting in approximately one million blood donations each year. Patients that receive this donated blood are already in a vulnerable condition,…
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When data compression and statistics disagree: two frequentist challenges for the minimum description length principle
Promotor: P.D. Grünwald
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Danny Mekic
Faculteit Rechtsgeleerdheid
d.mekic@law.leidenuniv.nl | +31 71 527 2727
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Wessel Kraaij
Science
w.kraaij@liacs.leidenuniv.nl | +31 71 527 5778
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Gerrit-Jan Zwenne
Faculteit Rechtsgeleerdheid
g.j.zwenne@law.leidenuniv.nl | +31 71 527 8838
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Mathijs Deen
Faculteit der Sociale Wetenschappen
m.l.deen@fsw.leidenuniv.nl | +31 71 527 2727
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Access to Justice and Institutional Development in Libya
An analysis of people’s access to justice and the working of (legal) institutions in post-conflict, democratic Libya
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OSCoffee: Making data reusable in the social sciences
Lecture
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Countering Lone Actor Terrorism: Data Collection & Analysis
This project aims to improve understanding of, and responses to, the phenomenon of lone actors through analysis of comprehensive data on cases from across Europe.
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Data-driven Predictive Maintenance and Time-Series Applications
Predictive maintenance (PdM) is a maintenance policy that uses the past, current, and prognosticated health condition of an asset to predict when timely maintenance should occur.
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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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Interaction with sound for participatory systems and data sonification
This thesis deals with the use of sound in interactions in the context of participatory systems and data sonification. We investigate an interactive environment where participants perceive information of the data through sound elements.
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Accountability and data-driven urban climate governance
The use of increasingly large and diverse datasets to guide urban climate action has implications for how, and by whom, local governments are held accountable.
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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.
- OSCoffee: Making data reusable in the social sciences
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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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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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Fatma Çapkurt
Faculteit Rechtsgeleerdheid
f.capkurt@law.leidenuniv.nl | +31 71 527 7278
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Harold Nefs
Faculteit der Sociale Wetenschappen
h.t.nefs@fsw.leidenuniv.nl | +31 71 527 3992
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Ralph Rippe
Faculteit der Sociale Wetenschappen
rrippe@fsw.leidenuniv.nl | +31 71 527 3889
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Sarah Plukaard
Faculteit der Sociale Wetenschappen
s.c.plukaard@fsw.leidenuniv.nl | +31 71 527 7937
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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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Student for a day Data science & Artificial Intelligence
Study information
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Project SENSYN
Making sensitive data reusable through synthetic data generation
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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.
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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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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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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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Wouter van Loon
Faculteit der Sociale Wetenschappen
w.s.van.loon@fsw.leidenuniv.nl | +31 71 527 2727
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Wireless Random-Access Networks and Spectra of Random Graph
This thesis is divided into two parts. In Part I we study metastability properties of queue-based random-access protocols for wireless networks. The network is modeledas a bipartite graph whose edges represent interference constraints. In Part II we study spectra of inhomogeneous Erdős-Rényi random…
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Confronting Colonial Objects: Histories, Legalities and Access to Culture
Carsten Stahn has just published Confronting Colonial Objects: Histories, Legalities and Access to Culture. The book is part of the OUP Cultural Heritage Law and Policy Series.
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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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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.