1,013 search results for “form data” in the Public website
-
Johannes Schmidt-Hieber
Science
schmidthieberaj@math.leidenuniv.nl | +31 71 527 2727
-
Data Atlas of Byzantine and Ottoman Material Culture
Archiving Medieval and Post-Medieval Archaeological Fieldwork Data from the Eastern Mediterranean (600-2000)
-
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.
-
LED3 Lecture: Data Science in Drug Discovery
Lecture
-
Learning agreements and other forms
You may have to complete forms or have documents signed upon your arrival at Leiden University. Find out who you can turn to for assistance.
-
Danny Mekic
Faculteit Rechtsgeleerdheid
d.mekic@law.leidenuniv.nl | +31 71 527 2727
-
Wessel Kraaij
Science
w.kraaij@liacs.leidenuniv.nl | +31 71 527 5778
-
Mathijs Deen
Faculteit der Sociale Wetenschappen
m.l.deen@fsw.leidenuniv.nl | +31 71 527 2727
-
Gerrit-Jan Zwenne
Faculteit Rechtsgeleerdheid
g.j.zwenne@law.leidenuniv.nl | +31 71 527 8838
-
Modular forms of weight one over finite fields
Promotor: S.J. Edixhoven
-
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.
-
Data on Display: Visualisation as a form of argumentation in exhibitions
On November 30th Joost Grootens gave a lecture at the workshop ‘Data on Display: Visualisation as a form of argumentation in exhibitions’ organised by the Museumsakademie Joanneum, Graz (Austria)
-
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,…
-
Anja Schoots-Snijder
ICLON
a.j.m.schoots@iclon.leidenuniv.nl | +31 71 527 2727
-
When data compression and statistics disagree: two frequentist challenges for the minimum description length principle
Promotor: P.D. Grünwald
-
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.
-
Harold Nefs
Faculteit der Sociale Wetenschappen
h.t.nefs@fsw.leidenuniv.nl | +31 71 527 3992
-
Ralph Rippe
Faculteit der Sociale Wetenschappen
rrippe@fsw.leidenuniv.nl | +31 71 527 3889
-
Sarah Plukaard
Faculteit der Sociale Wetenschappen
s.c.plukaard@fsw.leidenuniv.nl | +31 71 527 7937
-
Fatma Çapkurt
Faculteit Rechtsgeleerdheid
f.capkurt@law.leidenuniv.nl | +31 71 527 7278
-
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.
-
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.
-
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.
-
A large-scale crop protection bioassay data set
ChEMBL is a large-scale drug discovery database containing bioactivity information primarily extracted from scientific literature.
-
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…
-
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.
-
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.
-
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.
-
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.
-
EU privacy and data protection law applied to AI
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.
-
Building Other forms of Communicating the Academy
The BOCA project explores new forms of communicating academic knowledge as a way to strengthen the connection between the university and society.
-
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.
-
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.
-
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
-
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.
-
Wouter van Loon
Faculteit der Sociale Wetenschappen
w.s.van.loon@fsw.leidenuniv.nl | +31 71 527 2727
-
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.
-
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…
-
Tautological differential forms on moduli spaces of curves
In this thesis we study the moduli space of genus g curves, and the differential forms that occur naturally on this moduli space.
-
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…
-
The interplay between stars, gas and dust in faint star-forming galaxies
When observing star-forming galaxies, we are not only seeing stellar light, but we also see how this interacts with galactic gas and dust. This thesis contains studies of the stellar, nebular and dust properties of low mass star-forming galaxies.
-
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.
-
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…
-
Small scale kinematics of massive star-forming cores
Promotor: Prof.dr. E.F. van Dishoeck, Co-Promotor: M.R. Hogerheijde
-
The evolution of shell form in tropical terrestrial microsnails
Promotor: Prof.dr. M. Schilthuizen
-
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
-
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…
-
Diagnostics for mechanical heating in star-forming galaxies
Promotor: F.P. Israel, Co-Promoter: R. Meijerink
-
Data-Driven Machine Learning and Optimization Pipelines for Real- World Applications
Machine Learning is becoming a more and more substantial technology for industry.
-
Linking simple molecules to grain evolution across planet-forming disks
Planets are formed in disks of gas and dust around young stars.