Heightened activation of the striatum that adolescents show in response to reward is often associated with risk-taking and negative health consequences. This article in Nature Communications investigates a potential positive side of this heightened activation. It shows that the activity peak in late…

This thesis focuses on addressing four research problems in designing embedded streaming systems.

The Reinforcement Learning lab conducts research into Reinforcement Learning and Intelligent Combinatorial Algorithms.

Supervisor: Gerard van Westen

The programme is also offered in a blended learning version: this is a combination of distance learning and face-to-face learning. Read more information

Fokelien Kootstra defended her thesis on 23 April 2019

Promotor: P.J.J. Hooykaas, Co-Promotores: P.B.F. Ouwerkerk, M. Wang

Homicide engenders broad moral concerns in society, and its aftermath can be understood as a barometer for criminal justice policy. Of all homicides committed, however, only some lead to arrest, to prosecution and ultimately to conviction in court.

The current study focuses on Walpole’s social network and the language as contained in the letters of the network members.

How is collaborative learning in teacher education designed and implemented? How do students experience those collaborative learning assignments? What aspects of the design and the implementation lead to which perceived learning outcomes?

The aim of this research project was to increase understanding of which collaborative learning approaches already exist in conservatoire education, and how implementation of collaborative learning could be supported.

Language learners in higher education increasingly conduct out-of-class self-directed learning facilitated by mobile technology. This project aims to explore how university students use mobile technology for their self-directed language learning and investigate factors that influence their self-directed…

PURPOSE: In the present study we investigated the root-cause of an interference signal (100-200 nm) of sugar-containing solutions in dynamic light scattering (DLS) and nanoparticle tracking analysis (NTA) and its consequences for the analysis of particles in biopharmaceutical drug products.

A continuous learning pathway in suicide prevention equips psychology students with essential knowledge and skills to recognise suicidality effectively and to initiate the conversation about it.

Analysis of drug adversity

To what extent are university teachers' individual learning paths influenced by their teaching experience, motivation, and conceptions of teaching and learning through educational technology?

Automated Machine Learning (AutoML) is widely used to automatically build a suitable practical Machine Learning (ML) model for an arbitrary real-world problem, reducing the effort of practitioners in the ML development cycle for real-world applications. Optimization is a key part of a typical AutoML…

Computers are capable of making incredibly accurate predictions on the basis of machine learning. In other words, these computers can learn without intervention once they have been pre-programmed by humans. At LIACS, we explore and push the borders of what a revolutionary new generation of algorithms…

After this course

The active learning network joins together everyone interested in the subject to move the theme further within Leiden University. The SALTSWAT pilot program researches the ways forward for Leiden University.

How do museum visitors interpret the authenticity of museum objects? How can we support visitors' meaningful interactions with real objects?

The active learning ambition is based on the idea that knowledge is more likely to ‘stick’ when students are actively engaged with their learning and research. This active student participation has implications for how we teach: less consumption of knowledge and more efficient use of contact hours.

The ambition to have flexible learning pathways is about creating possibilities to improve the content and form of students’ learning process, and to link learning to students’ needs. Students who have access to a flexible range of learning pathways can align their university career with their own personal…

Sewer pipes are an essential infrastructure in modern society and their proper operation is important for public health. To keep sewer pipes operational as much as possible, periodical inspections for defects are performed.

Julia Prümmer, Tommy van Steen & Bibi van den Berg evaluate the effectiveness of cybersecurity training programs for end-users.

This book expands on the existing literature on the international dimension of democratization by introducing the concept of democracy projection. Democracy projection is defined as the projection of (democratic) norms through the every-day practice of interactions-beyond any donor-recipient relationship-between…

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.

The Centre for Professional Learning (CPL) develops in-depth and challenging programmes for higher educated professionals.

The language learning resource centre unites all language teaching professionals working at Leiden University: teachers and researchers at the LUCL, ATC, LUCAS, LIAS, and ICLON.

Would you like to develop further and be challenged academically in your field or beyond? The Faculty of Humanities offers a wide range of courses to boost your career, learn new skills or broaden your knowledge.

All the data stored and processed by our computers is encoded as sequences of zeros and ones, called bits. Quantum computers offer an alternative to this traditional way of encoding and manipulating information.

LLInC supports innovative and high-quality education both within Leiden University and in partnership with academic and social organisations.

In deep reinforcement learning, searching and learning techniques are two important components. They can be used independently and in combination to deal with different problems in AI, and have achieved impressive results in game playing and robotics. These results have inspired research into artificial…

The research of the group Learning and Behavior Problems in Education addresses learning difficulties in the areas of reading (technical reading and reading comprehension) math and writing, and examines learning-related behaviors behaviors.

Reinforcement learning is a framework that enables agents to learn in a manner similar to humans, i.e. through trial and error. Ideally, we would like to train a generalist agent capable of performing multiple tasks and achieving various goals.

This thesis advances automata learning, a key area in computer science, with applications in software verification, biological analysis, and autonomous technologies. It explores three main themes: first, it introduces a passive learning algorithm for generating compact probabilistic models from positive…

This dissertation is about Bayesian learning from data. How can humans and computers learn from data?

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