About 90 per cent of Austronesian and Papuan languages are under threat of soon becoming extinct. Marian Klamer is the only professor in the world who researches both these language groups. She records languages before they disappear and sheds new light on the history of Indonesia. Inaugural lecture…

The application of nanomaterials in industrial processes and consumer products provides many societal benefits, but can also lead to the release of nanomaterials into the environment. The work in this dissertation aims to provide insights into the potential environmental impacts that may follow from…

How does environmental heterogeneity shape biodiversity across spatial and temporal scales?

Promotor: J.A. van Veen, Co-promotor: E.E. Kuramae

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.

Als gevolg van de grote technologische vooruitgang in de gezondheidszorg worden in toenemende mate gegevens verzameld tijdens de uitvoering van klinische onderzoeken.

Transport inspectorates are looking for novel methods to identify dangerous behavior, ultimately to reduce risks associated to the movements of people and goods. We explore a data-driven approach to arrive at smart inspections of vehicles.

We will study how inoculation of former arable land with soil (including the microbiome, soil fauna and seeds/rhizomes of ground flora) from old forests along with planting targeted tree species mixtures will improve productivity and more rapidly restore forest-adapted communities and ulttimately result…

Human-driven environmental damage is increasingly recognised as a global crisis. Should large-scale destruction of ecosystems be considered a crime? The concept of ecocide has gained renewed attention, particularly following a proposed definition for inclusion in international criminal law, raising…

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.

This research programme aims to increase the scientific understanding of how current and emerging anthropogenic threats affect biodiversity and ecosystem services to facilitate strategic management of natural resources. To this end, we address urgent challenges in relation to the mechanisms involved…

Plant diversity is essential for us and our planet as it sustains the stability of our ecosystems, provides vital materials and food to us and supports many ecosystem services.

A new NMR microscope gives researchers an improved instrument to study fundamental physical processes. It also offers new possibilities for medical science, for example to better study proteins in Alzheimer patients’ brains. Publication in Physical Review Applied.

Humans share meaning through language. Over time, repeated interactions have shaped languages into forms that match our cognitive preferences, making them structured, expressive, easy to learn, and ultimately, meaningful.

Predictive maintenance (PdM) is a maintenance policy that uses the past, current, and prognosticated health condition of an asset to predict when timely maintenance should occur.

Quantum hardware comes with a different computing paradigm and new ways to tackle applications. Much effort has to be put into understanding how to leverage this technology to give real-world advantages in areas of interest for industries such as combinatorial optimization or machine learning.

In this article, Barrie Sander together with his colleagues explore whether fairness in digital governance inadvertently entrenches structural inequalities

The main purpose of DNAmarkerpoint is to better understand the ecology, evolution and biodiversity through the study of ancient- and modern DNA.

What are the phylogenetic relationships among the members of speciation bursts?

In this project, researchers and lecturers from LUCAS, ICLON and UBL join forces to publish expertise and experience in the field of machine learning and AI as open learning materials for secondary education.

Source: J Cheminform, Volume 6, Issue 1 (2014)

In this thesis, we examine various systems through the lens of several numerical methods.

Mining time series is a machine learning subfield that focuses on a particular data structure, where variables are measured over (short or long) periods of time.

Radiography is an important technique to inspect objects, with applications in airports and hospitals. X-ray imaging is also essential in industry, for instance in food safety checks for the presence of foreign objects.

Can smart suggestions help translators work better with machine translation? As machine translation becomes the norm, professional translators are asked to correct its output; a process called post-editing. But how can we make this easier and more effective?

Do understudied animals contain hidden species?

This interdisciplinary project will explore the potential for equitable exchange of Indigenous Knowledge Systems (IKS) and climate science for climate justice.

In this work, we attempt to answer the question:

The research in this dissertation aims to optimise blood donation processes in the framework of the Dutch national blood bank Sanquin. The primary health risk for blood donors is iron deficiency, which is evaluated based on donors' hemoglobin and ferritin levels.

The thesis is part of a bigger project, the HEPGAME (High Energy Physics Game). The main objective for HEPGAME is the utilization of AI solutions, particularly by using MCTS for simplification of HEP calculations.

Researcher and lecturer Susana Valdez investigates how migrants make use of online translation technology in medical situations. Her research suggests that they often encounter obstacles when using machine translation in these settings. Potential problems include a lack of understanding or trust.