A framework for prospective/ex-ante life cycle assessment (LCA) and ecological risk assessment (ERA) of emerging technologies is developed and applied to a case study of III-V/silicon photovoltaic panels.

LCA has become an important method to study environmental impacts of human activities. Still, there are several methodological issues in LCA that can adversely affect the results reliability.

Overall dispersion in LCA as result of inherent uncertainties, spread and unrepresentativeness.

The aim of this project is to determine in which cases uncertainty statements resulting from a Bayesian statistical analysis can be trusted.

The main theme of this thesis is the theoretical study of Gaussian processes as a tool in Bayesian nonparametric statistics.

This new article by Bassant Hassib and James Shires is part of a special issue for Journal of Cybersecurity, based on a selection of contributions from THe Hague Program for Cyber Norms' 2019 Conference.

What are the behavioral, cognitive, and motivational consequences of decision reversibility?

Promotor: Ronald Cramer, Co-promotor: Serge Fehr

We present an extensive study of methods for exactly solving stochastic constraint (optimisation) problems (SCPs) in network analysis. These problems are prevalent in science, governance and industry.

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

Integrating life cycle assessment (LCA) with life cycle costing (LCC) offers the opportunity to simultaneously analyze the environmental and economic aspects of product alternatives, for the integration of which a unified computational has been proposed by Heijungs et al. (2013) [1]. The project aims…

M. Danhof, Co-promotor: O.E. Della Pasqua

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

Novel methods for understanding key aspects that are essential to the future of Bayesian inference for high- or infinite-dimensional models and data.

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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.

The research programme Statistical Science is concerned with the analysis and interpretation of masses of data, the quantification of uncertainty using probability models, and the development and benchmarking of algorithms and methods with these aims.

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.

This new article by Monica Kaminska is part of a special issue for Journal of Cybersecurity, based on a selection of contributions from THe Hague Program for Cyber Norms' 2019 Conference.

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 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 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.

Understanding the water use of power production is an important step to both a sustainable energy transition and an improved understanding of water conservation measures. However, there are large differences across the literature that currently present barriers to decision making.

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.

How do games work? How do you make them? And how do games make us and our societies and cultures? The minor Game Studies and Cultural Analysis will provide you with both the perspective and practice to give your own answers to these questions.

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

This thesis is based on five papers on several topics.

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 research data infrastructure in computational social science

This study is a critical discourse analysis of the misogynistic narratives shared by three incel violent extremists.

Promotor: Prof.dr. E. Deprettere

How does the cluster bootstrap procedure in combination with various types of linear models perform in the analysis of longitudinal data, compared to other methods.

Description of Biotic ligand models: making an inventory of available models & assessment of the variability of the predicted HC5 using the BLMs in different Dutch water types (2005 - 2007)

Can we develop a platform for raw materials intelligence?

Are you thinking about studying Cultural Analysis: Literature and Theory? Learn more and watch the videos.

This paper, written by Silvia D'Amato & Andrea Terlizzi, investigates the extent to which the European Union is strategically engaging against terrorism.

Science is typically a patchwork of research contributions without much coordination. Especially in clinical trials, the follow-up studies that we do fail to be the most promising.