We explored how to morphologically classify well-resolved jetted radio-loud active galactic nuclei (RLAGN) in the LOw Frequency Array (LOFAR) Two-metre Sky Survey (LoTSS) using machine learning.

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…

Students with learning problems experience difficulties in reading, writing, and content-area learning into and throughout their secondary-school years

The aim of this research is to gain insight into the approaches of learning to teach. Teacher learning processes, feedback in novice-expert interaction and the impact of the interaction are explored.

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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The ongoing increase in antimicrobial resistance combined with the low discovery of novel antibiotics is a serious threat to our health care.

What relationships exist between different types of PLCs and cognitive differentiated teaching?

In this study we aimed to examine teacher learning within a context of collaboration in interdisciplinary teams.

This dissertation focuses on teacher professional learning and collaboration in secondary schools.

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…

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.

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…

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…

The quest for Trustworthy AI is high on both the political and the research agenda, and it actually constitutes TAILOR’s first research objective (H1) of developing the foundations for Trustworthy AI. It is concerned with designing and developing AI systems that incorporate the safeguards that make…

PhD defence

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.

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…

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.

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.

Machine Learning is becoming a more and more substantial technology for industry.

We are living in an information era where the amount of image and video data increases exponentially.

ISGA researchers have received €1 million for research aimed at enhancing the Netherlands' digital resilience. The funding comes primarily from NWO, but private parties are also contributing financially. In total, €10.5 million is being allocated to launch six projects.

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?

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…

In this dissertation, we study partition-based models that can be used both for interpretable predictive modeling and for understanding data via interpretable patterns.

Over the last decades, aviation safety has improved strongly. As a downside, airline pilots do not have as many opportunities to develop through experience the competencies that they need in critical situations.

PhD defence

Biodiversity in the Netherlands is having a tough time. Professor of Natural Capital Koos Biesmeijer combines research with practical advice: from the greening of industrial parks to solutions inspired by hi-tech nature. Inaugural lecture 9 March.