1,150 search results for “data learning” in the Public website
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Elise Kortink
Faculteit der Sociale Wetenschappen
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Cosima Nimphy
Faculteit der Sociale Wetenschappen
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Chenyu Shi
Science
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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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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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Public leaders’ organizational learning orientations in the wake of a crisis and the role of public service motivation
This study explores public leaders’ organizational learning orientation in the wake of a crisis. More precisely, we study the association between public leaders’ public service motivation and their learning orientation (instrumental versus political).
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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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Evert van Nieuwenburg
Science
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Exploring Open-World Visual Understanding with Deep Learning
We are living in an information era where the amount of image and video data increases exponentially.
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More efficient learning thanks to sleep
Young children, adolescents and students may experience learning difficulties as a result of lack of sleep. Dr Kristiaan van der Heijden investigates sleep problems and solutions for various age groups.
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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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Information activities
Get to know us through our online and in-person events for prospective students!
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2 PhD Candidates, Reinforcement Learning for Sustainable Energy
Science, Leiden Institute of Advanced Computer Science (LIACS)
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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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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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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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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.
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Multi Modal Representation Learning and Cross-Modal Semantic Matching
Humans perceive the real world through their sensory organs: vision, taste, hearing, smell, and touch. In terms of information, we consider these different modesalso referred to as different channels of information or modals.
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post-translationally modified peptides in Streptomyces with machine learning
The ongoing increase in antimicrobial resistance combined with the low discovery of novel antibiotics is a serious threat to our health care.
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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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Seeing voices: the role of multimodal cues in vocal learning
Humans and songbirds learn their vocalizations early in life by exposure to the vocalizations of adult conspecifics. Often, better learning outcomes are achieved with live, social, tutors than with audio-only exposure to vocalizations.
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Teacher professional learning and collaboration in secondary schools
This dissertation focuses on teacher professional learning and collaboration in secondary schools.
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What we can learn from the Mycenaeans
The Mycenaean civilization of ancient Greek times offers enormous potential for useful information: from innovative construction methods to ways of handling crisis situations as a society. Archaeologist Ann Brysbaert and her team analyse Mycenaean construction processes in the ERC Consolidator project…
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Making policy with big data
Governments have increasing amounts of data at their disposal. How can big data be used in policymaking? And are governments ready to deal with all this data? That is what Sarah Giest, Assistant Professor at the Institute of Public Administration, is interested in.
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Learning and Behavior Problems in Education: Challenges and Solutions
The program group Learning and Behavior Problems in Education: Challenges and Solutions strive to find solutions to the learning and behavior challenges faced by preschool and elementary-school children, youth, and young adults in education. In doing so, the group focuses on cognition and behavior and…
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Learner–learner interaction in digital learning environments: what and how are we measuring?
Galikyan’s dissertation examines how the multidimensionality of learnerlearner interaction data and the multifacetedness of learner-learner interaction itself impact the measurement of learner-learner interaction in digital learning environments.
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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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transient reductions in the speed of sound of the inflaton in cosmological data, and other topics
Promotor: Prof.dr. A. Achucarro
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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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about bilingual education? A window on Content and Language Integrated Learning pedagogies
In the Netherlands approximately 130 out of 700 secondary schools offer a bilingual stream. However, research about CLIL (Content and Language Integrated Learning) is limited. With her dissertation Evelyn van Kampen (PhD student at ICLON) wants to contribute to the understanding of the nature and range…
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Learning the Right Lessons for the Next Pandemic
This report highlights the huge potential of public inquiries to ensure that lessons are learned from COVID-19 to help the UK prepare for a future pandemic.
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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…
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Neural correlates of vocal learning in songbirds and humans: cross-species fMRI studies into individual differences
Vocal learning is a trait shared by songbirds and humans. It is also a trait that is restricted by the brain rather than by a species' vocal apparatus. In this dissertation, functional MRI is employed in both species in order to explore potential common neural mechanisms underlying the ability to develop…
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Contact
The program group Learning and Behavior Problems in Education is located in the Faculty of Social and Behavioural Sciences of Leiden University near Central Station.
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Cor Veenman (NFI) researcher Forensic Big Data Science at LIACS
On December 4th an agreement was signed between the Leiden Institute of Advanced Computer Science (LIACS) and the Netherlands Forensic Institute (NFI). Cor Veenman (NFI) will perform research in the field of Forensic Big Data Science at LIACS.
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Stephan Raaijmakers: 'Humans and systems have to learn to understand each other better'
You can ask virtual assistant Siri about the weather, but you can’t have a real conversation with it yet. You can’t refer to anything that’s been said before, or ask the system why it says what it says. Stephan Raaijmakers, Professor by Special Appointment from TNO, hopes to change this.
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Modular learning: Enrolling in a single course
Do you want to be part of this unique programme, discuss cutting-edge topics of cyber security with other professionals, but do you not have time to enroll in this full master programme?
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Big data on a small scale
Mirjam van Reisen favours big data built up from local inputs in developing countries and suitable for local use. The new Professor of Computing for Society at Leiden's Faculty of Science connects data science with development sociology. Inaugural lecture 10 March.
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Bart Custers
Faculteit Rechtsgeleerdheid
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From data to models: reducing uncertainty in benefit risk assessment: application to chronic iron overload in children
M. Danhof, Co-promotor: O.E. Della Pasqua
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ECOLE: Experience-based COmputation: Learning to optimisE
Researchers of the Leiden Institute of Advanced Computer Science (LIACS) will develop a training programme the next generation of early stage researchers (ESRs). During a four years project they will be trained to approach industrial challenges in a holistic manner by developing solutions in an automotive…
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Professional learning of vocational teachers in the context of work placement
Work placement as a professional development programme for vocational teachers has been widely implemented. This dissertation provides insight into vocational teachers’ learning process in this programme within Chinese vocational education.
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More powerful data centre will accelerate research
Language evolution, targeted drugs or archaeological interpretation. Researchers are making increasing use of supercomputers that can rapidly process large quantities of data. This is one reason why the University data centre will be extended and updated. ‘Datamining means we can get a better picture…
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A treasure trove of legal data
Data science offers great opportunities for legal research, according to Simone van der Hof and Bart Custers (eLaw). But at the same time, we have to keep an eye on the unwanted side effects of big data - such as ethnic profiling.
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Symposium with first cohort of Data Science PhD students
On Tuesday, January 30th, the first symposium of the Data Science Research Programme took place at the Sylvius Building.
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Data Science certificates awarded to employees of Ministry IenW
On Monday, June 24th, 24 employees of the Ministry of Infrastructure and Water Management (IenW) received their certificates for completing Data Science courses, offered by the Leiden Centre of Data Science.