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This thesis investigates morality from a computational perspective by examining how machines can be developed with capacities for moral reasoning and action. It addresses how to overcome interdisciplinary boundaries between moral philosophy and computer science (Paper I), proposes a virtue-theoretic framework for artificial moral cognition (Papers II and III), and highlights issues of using normat
Artificial empathy (AE) is a hotly contested topic. Recently, several empathy researchers have voiced criticism on the prospect of AE, arguing that it is impossible, unethical, or both. Contrary to these sentiments, we believe that further nuance and research are needed to better understand AE, its risks, and what it can potentially contribute to human well-being. We will focus on one obstacle to
Can AI ‘solve’ politics? In this paper, I explore optipolitics, i.e., the idea that politics along with other complex social issues can be framed as mathematical optimization problems and solved as such. I begin by describing politics, optimization, and some reasons for applying the latter to the former. I then present a liberal democratic version of optipolitics and try to defend it against eight
Extensive studies have shown that humans process faces holistically, considering not only individual features but also the relationships among them. Knowing where humans and dogs fixate first and the longest when they view faces is highly informative, because the locations can be used to evaluate whether they use a holistic face processing strategy or not. However, the conclusions reported by prev
Cardiac diffusion tensor imaging (cDTI) is highly prone to image corruption, yet robust-fitting methods are rarely used. Single voxel outlier detection (SVOD) can overlook corruptions that are visually obvious, perhaps causing reluctance to replace whole-image shot-rejection (SR) despite its own deficiencies. SVOD's deficiencies may be relatively unimportant: corrupted signals that are not statist
The accurate representation of mixed-phase monsoon clouds and their phase distribution is of great importance for numerical models used to predict monsoon rainfall. Therefore, it is essential for these models to correctly capture the phase fraction of clouds, which includes the proportions of liquid and ice. Ice particle formation in clouds occurs through primary ice production and secondary ice p
Deep learning methods have significantly advanced the field of gaze estimation, yet the development of these algorithms is often hindered by a lack of appropriate publicly accessible training datasets. Moreover, models trained on the few available datasets often fail to generalize to new datasets due to both discrepancies in hardware and biological diversity among subjects. To mitigate these chall
Therapeutic proteins can be challenging to develop due to their complexity and the requirement of an acceptable formulation to ensure patient safety and efficacy. To date, there is no universal formulation development strategy that can identify optimal formulation conditions for all types of proteins in a fast and reliable manner. In this work, high-throughput characterization, employing a toolbox
Spatial resolution, signal-to-noise ratio (SNR) and acquisition time are interconnected in magnetic resonance imaging (MRI). Trade-offs are made to keep the SNR at the acceptable level, maximizing the resolution, minimizing the acquisition time and maintaining radiologically useful images. In low-field MRI scanners and especially in diffusion imaging, these trade-offs are even more crucial due to
Computational notebooks (e.g. Jupyter notebook) are a popular choice for interactive scientific computing to convey descriptive information together with executable source code. The user can annotate the scientific development of the work, the methods applied, describe ancillary data or the analysis of results, with text, illustrations, figures, and equations. Such ‘executable’ documents provide a
BACKGROUND/PURPOSE: Intraductal papillary neoplasm of the bile duct (IPNB) is a rare disease in Western countries. The main aim of this study was to characterize current surgical strategies and outcomes in the mainly European participating centers. METHODS: A multi-institutional retrospective series of patients with a diagnosis of IPNB undergoing surgery between 1 January 2010 and 31 December 2020
Perception is not a passive process but the result of an interaction between an organism and the environment. This is especially clear in haptic perception that depends entirely on tactile exploration of an object. We investigate this idea in a system-level brain model of somatosensory and motor cortex and show how it can use signals from a humanoid robot to categorize different object. The model
Today, huge amounts of data are produced, collected, and presented in all kinds of contexts. The ability to critically examine and evaluate information and arguments in relation to empirical evidence is often referred to as information literacy. It is of utmost importance that students are adequately scaffolded to develop this ability, to be able to become democratic citizens. The study presented
The European Open Science Cloud is a pan-European initiative that aims at developing a federated infrastructure that supports scientific research and Open Science. Having the FAIR principles at the core of Open Science practices, the Environmental Research Infrastructures (ENVRIs) that operate in Europe collaborate at cluster level (the ENVRI cluster) continuously improving the FAIRness of their s
Acquiring and distributing essential information for understanding global biogeochemical interactions between the atmosphere and ecosystems, and how climate-ecosystem feedback loops may change atmospheric composition in the future is a fundamental pre-requisite for societal resilience in view of climate change. Particularly, the detection of trends and periodicity in the presence of greenhouse ga
The Environmental Research Infrastructure (ENVRI) community is a cluster of European research infrastructures focused on the environment and Earth system science. The ENVRI-FAIR project aims to advance the FAIRness of their data and services with emphasis on interoperability and connect the ENVRI community to the European Open Science Cloud (EOSC). In this article, we present a proposal for a scie
European Environmental Research Infrastructures (ENVRIs) on the ESFRI level are core facilities for providing data, research products and services from the four subdomains of Earth system science – Atmosphere, Marine, Solid Earth, and Biodiversity/Terrestrial Ecosystems. The ENVRI Cluster represents the core component of the European environmental research infrastructure landscape, with the ENVRI
This work considers multi-material topology optimization of compliant mechanisms under transient thermal and quasi-static mechanical conditions wherein thermally actuated devices are optimized for different operating conditions. The materials are modeled using finite strain thermo-hyperelasticity and a two way coupling between the energy balance and equilibrium equations is investigated. The desig
As science and technology evolve, interdisciplinary targets are anything but static, introducing additional levels of complexity and challenging further the initiatives to break the barriers to interdisciplinary research. For over a decade the community of the Environmental Research Infrastructures, forming the ENVRI cluster, has been building strong foundations to overcome these challenges and be
