This dissertation explores how Large Language Models (LLMs) can effectively and responsibly contribute to complex decision-making processes. By combining AI and human intelligence, Hybrid Intelligence (HI) emerges, allowing the strengths of both humans and machines to be utilized.

De Honours Academy biedt extra ontwikkelmogelijkheden aan studenten en docenten van de Universiteit Leiden.

This thesis is about augmented reality (AR). AR is commonly considered a technology that integrates virtual images into a user’s view of the real world.

A new publication on changes in the relationship between news and their public in Chile

Promotor: A. Kros

Promotor: Prof.dr. C.W.J. Beenakker

Natural history collections provide invaluable sources for researchers with different disciplinary backgrounds, aspiring to study the geographical distribution of flora and fauna across the globe as well as other evolutionary processes.

The project Multimedia Research and Documentation of African Oral Genres: Connecting Diasporas and Local Audiences (Director: D.Merolla) focuses on multimedia as technology that allows scholars to share documentation and scientific knowledge with the cultural owners of the collected oral genres.

One of the key discoveries in exoplanet research over the past decade is the abundance of small planets in our Milky Way. Despite their high numbers, our understanding of their atmospheres remains limited, and it is unknown if they possess atmospheres at all.

Advanced mass spectrometry of glycosphingolipids takes the central stage in this thesis. Investigations focus on characterization of glycosphingolipid metabolism in health and disease with emphasis to the detection and accurate quantitation of known and so far unknown glycosphingolipids and closely…

Tin electrodeposition applications have rapidly evolved in the past 25 years.

De afdeling Environmental Biology (CML-EB) houdt zich bezig met vraagstukken rondom biodiversiteit en natuurlijke hulpbronnen op het platteland in westerse en niet-westerse gebieden.

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.

Throughout the history of computer science, a major challenge has been how to assert that software is free of bugs and works as intended. Software bugs can lead to serious negative impacts on any software system. Throughout the main body of the thesis, we implemented a series of studies on exploring…

It is a common technique in global optimization with expensive black-box functions to learn a surrogate-model of the response function from past evaluations and use it to decide on the location of future evaluations.

Single-layer graphene (SLG) has attracted considerable interest as a proton exchange membrane for direct methanol fuel cells (DMFCs), owing to its atomic thickness, mechanical robustness, and unique proton permeability.

Reducing greenhouse gas emissions is one of the most pressing challenges that humanity faces in the coming decades.

The transition to electric vehicles (EVs) reduces vehicle emissions to combat climate change. EVs raise concerns regarding the production of lithium-ion batteries and related emissions; while batteries can also provide energy storage services for the electricity system.

Understanding the formation and evolution of planetary systems is one of the most fundamental challenges in astronomy. To directly image and study young exoplanets and the circumstellar disks they form from, dedicated high-contrast imaging instruments are built.

Promotors: W. Jiskoot; G.J. Witkamp, Co-promotor: M.R. Nejadnik

The energy system is at the heart of two of the greatest challenges of the 21st century: decreasing CO2 emissions to meet the ambitions of the Paris agreement while fulfilling the growing energy demand associated with the economic aspirations of a growing world population.

Drug development is a time- and resource-consuming process that starts with the discovery and validation of a (protein) target that contributes to pathogenesis or disease progression.

Promotor: Prof.dr. G.R. de Snoo, Prof.dr. G.A. Persoon, Co-promotor: H.H. de Iongh

Ice, the solid state of water, plays an important role on our planet as well as the entire universe.Despite the fact that an individual water molecule has a very simple structure, its chemical bonding in the solid phase can be surprisingly complex.

Promotor: H.J. van den Herik, B.R. Katzy, Co-promotor: K. Sailer

This thesis investigates reactive interfaces in surface science across three domains: heterogeneous catalysis, environmental nanoplastics, and two-dimensional materials.

Promotores: G.R. de Snoo, W.T. de Groot, Co-promotor: C.J.M. Musters

Climate change is one of the largest challenges faced by humanity. To combat this research into alternatives to fossil fuels is ongoing. Dihydrogen is considered a good alternative fuel, since its burning only forms water.

Control of infectious diseases poses continuous challenges for human health.

De programmagroep Leer- en Gedragsproblemen in het Onderwijs doet onderzoek naar stagnaties die kunnen optreden in de cognitieve ontwikkeling.

With the energy transition toward a renewable energy supply and a CO2-neutral economy, electrification of the energy system is rising in importance, which leads to the challenge of long-term storage of renewable electricity.

Atherosclerosis is the most prominent underlying pathology of cardiovascular disease and an important cause of major adverse cardiovascular events.

In this thesis, we show how MRFM can usefully contribute to the field of condensed-matter.

We strive to address the challenge of constructing a modeling language to write software which can take advantage of recent hardware developments (multicore, cloud) without compromising in its abstraction levels.

The effective treatment of tuberculosis (TB) remains a major challenge to global health.

Mycoheterotrophy is a particular mode of life in which plants obtain carbohydrates from their associated fungal partners, instead of by using photosynthesis.

It has now been well established that shocks and turbulent motions in the intra-cluster medium (ICM) generated through cluster mergers can produce large-scale synchrotron emission.

Endothelial dysfunction and microvascular diseases are key drivers of cardiovascular disease, the world's leading cause of death.

Biopolymer sequencing with graphene edge-based tunnel junctions has the potential to overcome current limitations with the third generation of sequencing based on biological nanopores.

Industrial manufacturing processes, such as the production of steel or the stamping of car body parts, are complex semi-batch processes with many process steps, machine parameters and quality indicators.

Organic molecules in interstellar space are important as they influence the structure of galaxies and star formations. Studying catalytic processes in space allows us to understand how molecular species are formed and chemically evolved in the interstellar medium and solar system objects.

De juiste student op de juiste plek

Promotor: T. Hankemeier, Co-promotor: T.H. Reijmers

In a typical glycosylation reaction, a donor is activated to form a (variety of) electrophilic species which can react with a nucleophilic acceptor, following a reaction mechanism having both SN1 and SN2 character.

Despite being the object of intense study, embryonic development has been difficult to model due to a number of reasons. First, complex tissues can be comprised of many cell types, of which we probably only know a subset.

This thesis seeks to combine two different research topics; Multi-Objective Optimization and Complex Network Analysis.

Optimization tasks in practice have multifaceted challenges as they are often black box, subject to multiple equality and inequality constraints and expensive to evaluate.

Outflows are crucially important for the gas budget and evolution of luminous star-forming galaxies and AGNs, with observed mass outflow rates of the same order as the star formation rate. Greater star formation and black hole growth lead to more intense feedback and outflows, resulting in self-regulated…

Promotor: F. Arbab

This thesis applies data mining in commercial settings in the telecommunications industry.