The global agri-food system plays a critical role in food security and environmental issues.

PRINCE (for Policy Relevant Indicators for Consumption and Environment) was a three-year project set up to explore ways to improve and expand the set of indicators used to estimate the environmental impacts linked to Swedish consumption, both within Sweden and abroad. Any new methods and indicators…

How to ensure the environmental and economic benefits of circularity transition at macro-scale?

To limit the effects of climate change, global average temperature since pre-industrial measurements are to be kept well below 2 °C preferably even at 1.5 °C.

Indonesia is experiencing various environmental challenges related to its fast economic growth. Therefore, it is necessary to have measurable and applicable indicators to obtain accurate data and information regarding the costs of adverse environmental impacts arising from economic activities to support…

... which focuses on the development and use of new multivariate statistical tools needed for analyses of data collected in the four other programs.

Analytical tools for environmental design and management in a systems perspective. The combined use of analytical tools.

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With textnets it is possible to visualize and analyze textual data in novel ways.

A sustainable resource management is an essential aspect to satisfy the current human needs without compromising the needs of future generations.

Promotor: Prof.dr. J.N. Kok, Co-promotor: F.J. Verbeek

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The Explainatory Data Analysis group develops algorithms and theory that enable domain experts to explain data by finding interpretable patterns and models.

RaMa-Scene is a web-application to create and analyse circular economy scenarios using Multi-regional Environmentally Extendend Input-Output Analysis.

Obtaining imaging data is nowadays only the start of your project. Once the data has been acquired there are many things that still need to be done.

The research of our group is centered around dynamical systems, functional analysis and their interplay.

The research of this programme is centered around dynamical systems, functional analysis, and their interplay.

The Institute of Environmental Sciences has carried out and participates in several projects that deal with the analysis of energy systems.

The research of the Applied Mathematics cluster is concerned with such diverse topics as dynamical systems, representation theory, differential equations and pattern recognition.

In this publication, Prof. Tahir Abbas, Inés Bolaños Somoano, Joana Cook, Isabelle Frens, Graig R. Klein and Richard McNeil-Willson look into the manifesto that was linked to the Buffalo attack in order to better understand the broader context and specific factors that motivated the perpetrator.

The main methodological aspects of the use of stepwise LCA estimators under different circumstances.

This handbook provides a resource for those already familiar with some kinds of micro-particles who wish to learn more about others, or for those just starting out in the study of microremains who wish to have a broad understanding about microscopic archaeology.

The objective is to develop in vitro antigen degradation assays in order to mimic the fate of the antigen in vivo.

The volume is one-stop shopping for crisis studies and a number of closely related fields, providing a window onto the latest thinking in the field. The articles reflect cutting edge, state of the art scholarship and pose key questions for research and practical development.

The focus of the Multicriteria Optimization and Decision Analysis (MODA) group is to develop foundations of methods in multi-objective optimization.

This thesis is based on five papers on several topics.

Promotor: W.Th.F. den Hollander Co-Promotor: F.M. Spieksma

Systems pharmacology aims to apply techniques from systems biology to pharmacological models.

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

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Analysis of neuroimaging data requires multiple steps where statistics play a crucial role. The MRI methods research group develops new statistical methods that are accurate, transparent and easy to use.

The Automated Design and Analysis of Algorithms (ADA) research group pursues the development of Artificial Intelligence techniques that complement, rather than replace, human intelligence.

A new research data infrastructure in computational social science