A step-by-step approach to building confidence in anxiety-prone young children.

Issues such as climate change, the depletion of natural resources or social inequality are too complex to be addressed from a single scientific discipline or by a single country. Leiden University has the expertise to bring the resolution of these enormous problems a small step closer.

Together we can make science open. Find the next step that fits your journey here.

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The current migration flow into Europa demands effective measures. Leiden experts examine whether these measures are legal and hold up a mirror to policy-makers.

Promotores: T.H.W. Bäck, Y. Tan, Co-promotor: M.T.M. Emmerich

In this work, I explore the creation of new methods that optimize simulations of the gravitational N-body problem. Specifically, I take advantage of the recent popularity of Machine Learning methods to find tools that can suit this problem.

Promotor: H.W. Lenstra

When you have finished your dissertation, it is time to prepare for the defence procedure.

Promotor: P. Stevenhagen, Co-promotores: B. de Smit, F. Andreatta

Latent variable modeling of students' solution strategies and performance

This study tests whether behavioural problems at a young age are related to early reading and mathematics development.

Promotor: M.T.M. Koper, Co-Promotor: L.B.F. Juurlink

The complexity of an intelligence problem determines to a great extent the certainty that can be provided by intelligence and security services.

The Learning and Behavior Problems in Education program group is responsible for teaching in the area of learning problems.

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.

Inverse problems are problems where we want to estimate the values of certain parameters of a system given observations of the system. Such problems occur in several areas of science and engineering. Inverse problems are often ill-posed, which means that the observations of the system do not uniquely…

To address the computational intractability of quantum system design, this research presents a framework that reduces quantum states and circuits to symbolic forms, enabling verifiable and interpretable analysis through classical satisfiability solving.

Getting started with active learning & teaching can be as simple as assessing on what is already accomplished. Here are some practical courses of action to begin experimenting with active learning, whether you are a teacher or responsible for the spaces.

What are best practices for teaching students to engage with 'wicked' problems?

Exploring the application of game-theoretic frameworks to quantum physics, this study creates novel AI training methods for the precise control of quantum systems.

Heterogeneous catalysis is essential to many industrial applications. These catalysts are often comprised of supported nanoparticles, which contain various different surface sites.

Leiden University social scientists have shown that customised intervention pays off. A new fundamental research-based approach in children who are in danger of going off the rails has delivered spectacular results.

Promotor: W.T. de Groot

Promotores: P. Stevenhagen, A. Enge Co-Promotor: T.C. Streng

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…

Steps to take if you already have a Dutch residence permit and are joining Leiden University.

Steps to take if you need a student visa for your upcoming studies.

Steps to take if you need residence permit only, and not a visa, for your upcoming studies.

Which educational and child welfare interventions offer optimal opportunities for positive development to children with severe behavioral and emotional disorders.

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.

How do we approach education that facilitates creative confidence for students that leads to innovative solutions to society’s present day and future sustainability challenges? This education research project tackles a sustainability dilemma faced by households in everyday life viz.

Until recently, the role of external information processing in intelligence has rarely been investigated quantitatively or experimentally. A group of researchers from Erasmus University Rotterdam, Leiden University, GGZ Rivierduinen, and University of Edinburgh measured in a new way how and when people…

Why do some parties fail to settle conflict, even after long periods of fighting? ISGA PhD candidate Valerie Sticher suggests that costly concessions often stand in the way of a negotiated agreement. Conflict party members not only care about their in-group's welfare, but also want to avoid rewarding…

When you have finished your dissertation, it is time to prepare for the defence procedure.

Promotor: Prof.dr. S. Portegies Zwart

In this thesis we investigate cosmology and the large scale structure of the Universe using cosmological simulations.

Promotor: S.M. Verduyn Lunel, Co-promotor: O.W. van Gaans

The increasing competition in the automotive industry requires the tailored, swift development of technologically sophisticated vehicles. Therefore, the computationally expensive state-of-the-art simulation technologies are combined with optimization algorithms. An example of a real-world optimization…

This dissertation aims at discussing the nature and the linguistic factors assumed responsible for speech intelligibility problems of Sudanese learners of English.

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In what ways can mental health care policy and interventions help break the cycle of mutually reinforcing societal stressors and mental health problems in Burundi?

Uncertainty and noise are frequently-encountered obstacles in real-world applications of numerical optimization. The practice of optimization that deals with uncertainties and noise is commonly referred to as robust optimization.