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Development and validation of the Self-Awareness of Ego-Threatening Biases Questionnaire (SAETBQ)
(2025)
Awareness of social biases is crucial as they impact both individual behavior and societal outcomes. Whereas previous research indicates that self-awareness of ego-nonthreatening biases enhances self-regulation, the effects of self-awareness of ego-threatening biases remain underexplored. Preliminary findings suggest that awareness of ego-threatening biases related to rumination may lead to maladaptive states. However, these findings await replication with standardized instruments. To address this gap, we conducted two studies. In Study 1 (N = 1609), we developed and validated the 12-item Self-Awareness of Ego-Threatening Biases Questionnaire (SAETBQ). Consistent with our hypotheses, self-awareness of ego-threatening biases (as measured by the SAETBQ) correlated with higher moral disengagement, lower self-diagnostic motive, and lower integrative self-knowledge, indicating a tendency towards ego deterioration, whereas self-awareness of ego-nonthreatening biases (as measured by the Metacognitive Self questionnaire) showed the opposite pattern of correlations, indicating a tendency towards beneficial self-regulation. In Study 2 (N = 681), Dark Triad traits correlated positively and Light Triad traits negatively with self-awareness of ego-threatening biases. These results underscore the complex role of self-awareness in managing cognitive biases.
Demokratie lebt von der Beteiligung engagierter Bürger*innen. Hierzu ist es notwendig, Kinder und Jugendliche frühzeitig an demokratische Handlungsweisen heranzuführen. Der demokratiepädagogische Klassenrat bietet vielfältige Chancen, Schüler*innen Partizipationserfahrungen zu erö!nen und ihre demokratischen Kompetenzen zu stärken.
Les carnets paraissent deux fois par an et offrent aux dirigeant(e)s des écoles ainsi qu’au personnel des fondements théoriques et du matériel pratique pour la mise en oeuvre d’un développement scolaire démocratique. Chaque publication traite d’une méthode de l’éducation à la démocratie ou d’une question stratégique du développement scolaire. Les carnets en langue allemande sont mis à la disposition des écoles luxembourgeoises en version imprimée. L’ensemble du matériel ainsi que la version en langue française sont disponibles en ligne.
Die Praxishefte Demokratische Schulkultur erscheinen halbjährlich und bieten Schulleitungen und Schulpersonal theoretische Grundlagen und praxisorientierte Anleitungen zur demokratiepädagogischen Schulentwicklung. Jedes Themenheft ist jeweils einer demokratiepädagogischen Bauform oder strategischen Frage der Schulentwicklung gewidmet. Die Praxishefte werden allen Luxemburger Schulen als Printausgabe zur Verfügung gestellt und online mit zusätzlichen Materialien und in französischer Fassung vorgehalten.
Les carnets paraissent deux fois par an et offrent aux dirigeant(e)s des écoles ainsi qu’au personnel des fondements théoriques et du matériel pratique pour la mise en oeuvre d’un développement scolaire démocratique. Chaque publication traite d’une méthode de l’éducation à la démocratie ou d’une question stratégique du développement scolaire. Les carnets en langue allemande sont mis à la disposition des écoles luxembourgeoises en version imprimée. L’ensemble du matériel ainsi que la version en langue française sont disponibles en ligne.
Die Praxishefte Demokratische Schulkultur erscheinen halbjährlich und bieten Schulleitungen und Schulpersonal theoretische Grundlagen und praxisorientierte Anleitungen zur demokratiepädagogischen Schulentwicklung. Jedes Themenheft ist jeweils einer demokratiepädagogischen Bauform oder strategischen Frage der Schulentwicklung gewidmet. Die Praxishefte werden allen Luxemburger Schulen als Printausgabe zur Verfügung gestellt und online mit zusätzlichen Materialien und in französischer Fassung vorgehalten.
Hydrological models can be categorised into three groups: empirical models that are based on simple mathematical functions or being data-driven, conceptual models that rely on abstract combinations of storages and fluxes to depict catchment processes, or physically-based models that are structurally complex and incorporate physical interactions at different scales to simulate processes and system states. To calibrate and evaluate especially physically-based models, the use of multi-criteria evaluation schemes has proven to be effective to find model parameterisations that can reproduce multiple catchment processes and states instead of only the discharge. However, uncertainty in models, originating from different sources, often limits the robust interpretability of simulation results, making it necessary to assess how modelling applications can be improved to reduce uncertainty.
In this thesis, the relevance of structural adequacy for the depiction of processes in models was demonstrated for the micro level for the example of dynamic phenology, where spatiotemporal model performance was improved by implementing a dynamic approach to modelling leaf emergence instead of a static one. For model evaluation at macro level, it was shown how a multi-criteria approach combining groundwater dynamics, surface runoff patterns and discharge can identify process-behavioural parameterisations and thus improve process depiction in hydrological models. At the meta level, it was demonstrated how the quasi-coupling of a hydrological and a hydraulic model can combine the different strengths of both models to simulate surface runoff processes taking infiltration into account, whereby the relevance of multi-criteria evaluated hydrological models for the derivation of hydrological variables was shown. In addition, uncertainty was explicitly incorporated into model evaluation at the meta level, where a virtual reality model approach was applied to assess the contribution that different variables can make to model evaluation when the associated measurement uncertainty is taken into account.
Based on the individual results, it was possible to conclude that uncertainty and its different sources are a relevant factor in model evaluation at different levels and could be reduced by improving structural model adequacy, adapting model application approaches, and explicitly incorporating uncertainty into model evaluations.
The maximization of submodular functions under various kinds of constraints is a central component of many combinatorial optimization problems, since submodular functions naturally cover the property of diminishing returns. This dissertation comprises four scientific articles in which we consider three different combinatorial optimization problems involving the maximization of submodular functions under knapsack or cardinality constraints.
The first article considers the maximization of a submodular function defined on a weighted set of items under a knapsack constraint with unknown capacity. Assume that items are packed sequentially into the knapsack, and that an oracle reveals whether an item being attempted for packing fits into the currently packed knapsack. If an item fits, it is packed irrevocably; otherwise, either packing stops immediately (packing without discarding), or the item is removed, and packing continues (packing with discarding).
Our main result concerns non-adaptive packing without discarding, under the assumption that the unknown knapsack capacity is greater than or equal to the weight of the heaviest item. Specifically, we present the first polynomial-time algorithm for computing a universal policy that, for any unknown capacity, performs at least as well as the classical greedy algorithm, studied by Wolsey (1982), for the same known capacity.
In the second article, we study a game-theoretic variant of maximizing a submodular function under a cardinality constraint. In this variant, an initial solution to the classical problem is determined first. Subsequently, a predetermined number of elements of the ground set, possibly containing elements of the initial solution, are deleted. If any deleted elements were part of the initial solution, they are replaced by a set of at most equal cardinality. The objective is to maximize the value of the ultimate solution, with the deletion being maximally disadvantageous to it. We analyze several special cases of this problem and present polynomial-time algorithms for computing optimal or approximately optimal ultimate solutions. For the general case, we present a polynomial-time algorithm whose approximation guarantee depends on the curvature of the submodular objective function.
The last two articles of this dissertation address the classic problem of maximizing a submodular function under a knapsack constraint. The first of these articles focuses on exact solvers: We present a branch-and-bound algorithm along with several acceleration techniques. We compare it against two solvers by Sakaue and Ishihata (2018), which currently achieve the strongest performance reported in the literature, as well as a branch-and-cut algorithm implemented using Gurobi that solves a binary linear reformulation of the submodular knapsack problem, demonstrating that our methods are highly successful.
The last article considers variants of the classical greedy algorithm for submodular maximization under a knapsack constraint studied by Wolsey (1982). While the classical algorithm assumes access to an exact incremental oracle in every iteration, we generalize the known approximation results for this algorithm to the presence of only an $\alpha$-approximate oracle that returns in every iteration an item whose relative marginal gain approximates the maximum relative marginal gain by at least $\frac{1}{\alpha}$, with $\alpha \geq 1$ fixed. We also present an approximation result for a variant of the classical greedy algorithm that uses an approximate oracle only in the first iteration and an exact oracle thereafter.
Sea-ice leads play a key role in the climate system by facilitating heat and moisture exchanges between the ocean and atmosphere, as well as by providing essential habitats for marine life. This study presents new insights from a gap-filled monthly dataset on sea-ice leads in the Southern Ocean and a first comprehensive analysis of spatial patterns, seasonal variability, and long-term trends of wintertime (April to September) sea-ice leads over a 21-year period (2003–2023). Our findings reveal that leads are ubiquitous in the Southern Ocean and show distinct spatial patterns with maximum lead frequencies close to the coastline, over the shelf break, and close to seafloor ridges and peaks. We see a strong seasonal variability in lead occurrence, with lead frequencies peaking in mid-winter. Weak but significant trends in lead frequencies are shown for the presented period for individual regions and months. Rather small changes in lead occurrence over the 21 years suggest stable wintertime sea-ice compactness despite the observed strong fluctuations and recent anomalies in sea-ice extent. Expanding upon previous work of lead detection in Antarctic sea ice, this study provides first results on the long-term regional, seasonal, and inter-annual variability of sea-ice leads in the Southern Ocean and can thereby contribute to an improved understanding of air–sea-ice–ocean interactions in the climate system. It also underscores the need for further investigation into the individual contributions of atmospheric and oceanic drivers to sea-ice lead formation in the Antarctic.
