Bewertungsprozesse in der Schule als Möglichkeit nutzen, um Schüler*innen bei der realistischen Einschätzung und Weiterentwicklung ihrer Lernprozesse und ihres Lernverhaltens zu unterstützen: Die partizipative Leistungsbewertung bietet verschiedene praxisnahe Ansätze zur Förderung von Lernmotivation, Selbstreflexion und demokratischem Verständnis.

Le feedback à l’école ? Il s’agit souvent d’un simple retour d’informations des enseignant(e)s sur le travail des élèves en classe. Cependant, une culture du feedback solide en classe o!re de nombreuses possibilités pour pratiquer l’action démocratique et améliorer la qualité de l’enseignement, tout en faisant participer enseignant(e)s et apprenant(e)s.

Partizipation im Unterricht von klein auf – geht das? Braucht man für Diskussionen, Aushandlungs- und Entscheidungsprozesse nicht eine bestimmte Reife, über die Dreijährige noch gar nicht verfügen? Das mateneen-Team hat sich auf Limpertsberg ein Bild von der Arbeit mit Vorschulkindern gemacht und festgestellt: das geht sehr wohl!

L’enseignement participatif, qui ne se résume pas à une participation vécue ponctuellement, comme l’écrit Charlotte Keuler dans l’article principal de ce carnet, est devenu indispensable à plusieurs égards en raison des défis auxquels nous confronte notre monde globalisé. La capacité à communiquer, les compétences interculturelles, la gestion des connaissances et d’autres « soft skills » sont les compétences clés du 21e siècle.

L‘école est un lieu de socialisation des enfants et des jeunes. Les heures de cours de l‘enseignement des différentes matières sont un espace d‘expérimentation de cette socialisation. Elles marquent par leur durée dans la journée aussi bien le rôle fondamental de l‘école que l‘action et la perception à la fois des enseignant(e)s et des apprenant(e)s. Il apparaît donc d’autant plus important d’intégrer ces cours dans l’organisation d’une culture scolaire démocratique.

Developing solution methods for discrete bilevel problems is known to be a challenging task—even if all parameters of the problem are exactly known. Many real-world applications of bilevel optimization, however, involve data uncertainty. We study discrete min-max problems with a follower who faces uncertainties regarding the parameters of the lower-level problem. Adopting a Γ-robust approach, we present an extended formulation and a multi-follower formulation to model this type of problem. For both settings, we provide a generic branch-and-cut framework. Specifically, we investigate interdiction problems with a monotone Γ-robust follower and we derive problem-tailored cuts, which extend existing techniques that have been proposed for the deterministic case. For the Γ-robust knapsack interdiction problem, we computationally evaluate and compare the performance of the proposed algorithms for both modeling approaches.

Surveys of antitrust cases reveal that colluding firms usually (1) attempt to minimise the risk of prosecution, (2) achieve merely imperfect levels of collusion, (3) compete against some independently acting firms, and (4) adjust to market entries and exits. In contrast, existing oligopoly models neglect some of the four listed stylised facts and, thus, overlook important interdependencies between them. Therefore, the present paper develops a general quantity leadership model that simultaneously accommodates all four stylised facts. The model is a three-stage game in which each firm must make three consecutive decisions: market entry or not, collusion or not, and output quantity. The framework is augmented by an antitrust authority that ensures free market access. In addition, the antitrust authority may directly obstruct collusion and it may threaten prosecution. The results of this study indicate that the latter two instruments are rather ineffective.

Action control theories assume that stimulus and response features are integrated or bound into short term episodic traces. A repetition of any of these features results in a retrieval of the entire episodic trace, and can thus facilitate or interfere with future actions. Along with stimuli features, features of the response and any other irrelevant stimuli that are present, are also integrated into such traces and can influence future actions. Using word stimuli, Singh et al. (2018) observed that such so-called binding effects are larger for attended features relative to unattended features. This was the case even for features generally believed to be automatically processed, like valence. Since previous research has shown differences in the processing of word and picture stimuli, it is questionable whether the attentional modulations in the above study would extend to picture stimuli. In order to examine this question, Experiment 1 replicated the design of Singh et al. (2018) but used picture instead of word stimuli. In order to directly compare word and picture stimuli, the data of Singh et al (2018) were re-analysed together with the data of the present study. In Experiment 2, the alternative hypothesis, that the effects were driven by the encoding of stimulus contingencies, was tested. Taken together, the findings of the present study replicate those of Singh et al. (2018), indicating that even with picture stimuli, valence related binding effects are modulated by attention allocation.

Figural matrices are widely used to measure reasoning ability. According to the two-process model of figural matrix reasoning, task performance relies on correspondence finding (linked to induction ability) and goal management (linked to working memory). Cognitive theory suggests that item characteristics (i.e., change rules and design principles of figural elements) are related to the two solution processes and impact item difficulties in a multiplicative, interactive manner. This study tested the multiplicative effect hypothesis by comparing two cognitive diagnostic models using additive and multiplicative effect estimations. A 26-item figural matrix test was administered to 633 high-ability individuals across paper-and-pencil and computer formats. The linear logistic test model (LLTM) and least square distance method (LSDM) were applied to Rasch and 2PL item parameters. Contrary to the multiplicative effect hypothesis, the additive LLTM model showed better item parameter reconstruction than the LSDM that includes multiplicative effects. These results suggest that change rules and design principles may independently contribute to the difficulty of figural matrices. Correspondence-finding demands may primarily arise from design principles, while change rules may primarily contribute to difficulty through goal management demands based on their number and complexity. The findings highlight the need to consider item components related to the phenomenological representation of figural elements when explaining solution processes of figural matrices. Implications for cognitive theory and item construction are discussed.

The role of evolutionary and ecological processes with regard to the bauplan of anuran larvae remains little understood. We studied tadpoles of 144 lentic or lotic taxa in 22 families from seven zoogeographic regions. Using stacked high-resolution images, standardized examination of 30 morphological characters of preserved tadpoles (of body, tail, oral disc) were scored and compared to the impact of phylogenetic signal (multiple nuclear and mitochondrial markers) and macro-climate. Additionally, larvae were characterized as living in a lentic versus lotic environment and if nutrition specialist or not. Categorical Principal Component Analysis, distance matrices and pairwise correlation analyses were performed. Our results suggest that phylogeny has a higher impact on the morphology than habitat (i.e. lentic, lotic), while no effect of macro-climate or food specialization was found. We emphasize the value of highly standardized morphological data when investigating the influence of different factors of phenotypic variation.

Process-behavioural hydrological modelling aims not only at predicting the discharge of an area within a model, but also at understanding and correctly depicting the underlying hydrological processes. Here, we present a new approach for the calibration and evaluation of water balance models, exemplarily applied to the Riverisbach catchment in Rhineland-Palatinate, Germany. For our approach, we used the behavioural model WaSiM. The first calibration step is the adjustment of the evapotranspiration (ETa) parameters based on MODIS evapotranspiration data. This aims at providing correct evapotranspiration behaviour of the model and at closing the water balance at the gauging station. In the second step, geometry and transmissivity of the aquifer are determined using the characteristic delay curve (CDC). The portion of groundwater recharge was calibrated using the delayed flow index (DFI). In the third step, inappropriate pedotransfer functions (PTFs) could be filtered out by comparing dominant runoff process patterns under a synthetic precipitation event with a soil hydrological reference map. Then, the discharge peaks were adjusted based on so-called signature indices. This ensured a correct depiction of high-flow volume in the model. Finally, the overall model performance was determined using signature indices and efficiency measures. The results show a very good model fit with values of 0.87 for the NSE (Nash–Sutcliffe model efficiency coefficient) and 0.89 for the KGE (Kling–Gupta efficiency) in the calibration period, as well as an NSE of 0.78 and a KGE of 0.87 for the validation period. Simultaneously, our calibration approach ensured a correct depiction of the underlying processes (groundwater behaviour, runoff patterns). We were also able to detect the model parameterisations based on the PTFs that showed satisfactory results across all calibration steps. This enables a targeted selection of the most suitable PTFs for determining the soil properties. This means that our calibration approach allows selecting a process-behaviourally faithful one from many possible parameterisation variants.

A fundamental challenge confronting modern organizations is to rationalize the affectivity of their members. In contrast to the 19th century, when communication in private settings was largely devoid of emotional content, the current era is characterized by a notable shift toward the incorporation of emotional elements in public discourse. This transformation is unfolding against the background of the ongoing evolution of modern organizations, with the processes of digitization and structural-automation contributing to this shift. The renewed emphasis on emotional semantics is facilitated by these developments—made possible by the fact that they facilitate the experience of the potential future obsolescence of humans as a source of crises. The concept of emotional semantics is currently being discussed in economic discourse, political debate, and in the context of management and leadership. Modern organizations mandate that their members manage their emotions through an organizational culture that fosters reflective communication through empathy. However, an understanding of this process can only be achieved through an examination of historical evidence. The article posits that organizations serve as pivotal actors in the domain of emotion management. Situated at the nexus of historical educational considerations, this perspective offers a nuanced interpretation of the historical evolution of organizational control ambitions. These ambitions have been catalyzed by contemporary trends, such as digitization and the integration of artificial intelligence and have undergone a progressive transformation over time. By sensitizing to the interplay of personal-psychic, institutional and organizational orders, the conceptual instruments for describing a history of emotions become more nuanced. This is demonstrated in the article through the analysis of specific organizational forms, which exemplify a parallel evolution within modern organizational society. Perspectives and discourses in organizational research provide novel approaches to the history of education by considering the organized nature of emotional phenomena. In this regard, the objective of the article is to provide impetus for the field of emotion-sensitive organization and management research which addresses questions pertaining to the transformation of organizations and their historical lines of continuity.

Background: Chronic low back pain (CLBP) is prevalent and a multimodal therapy is indicated, including psychological treatment. Effective conventional treatments involve psychoeducation and mindfulness-based body scans, while virtual reality offers superior but temporary pain relief. Augmented Reality (AR), which combines conventional and virtual methods, is a novel therapeutic strategy. Methods: We investigated the viability and acceptability of an AR intervention for CLBP by incorporating psychoeducation and mindfulness-based body scan techniques. 40 participants in two studies with a one-arm design underwent an educational AR intervention (Study I, n1 = 18) and an enhanced version with an additional body scan (Study II, n2 = 22). The studies focused on evaluating technical feasibility and multiple facets of user experience. Results: The results demonstrated high feasibility with low dropout rates (Study I: 10%, Study II: 0%). User experience ratings ranged from “Above Average” to “Excellent,” with the advanced intervention receiving higher ratings. While Study I showed no significant changes in affect pre- vs. post-intervention, Study II exhibited a significant reduction in negative affect and improved valence. Qualitative analysis provided insights into technical requirements and user perceptions. Discussion: The AR prototype emerges as a promising psychoeducational tool for CLBP, aligning with current treatment guidelines and providing a basis for future controlled clinical trials. Limitations include the absence of a high-pain intervention group, as Study I reported a pain intensity of M = 1.05 and Study II reported M = 1.77 (Range: 0–10). Further research such as clinical trials with control groups is required to validate the efficacy of the piloted approach. The AR-based psychoeducation and mindfulness body scan intervention for CLBP demonstrated technical feasibility and a good user experience.

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.

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.

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.

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.

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.

This thesis seeks to improve the understanding of evolution and habitat as key factors forming tadpole morphology (i.e. of larvae of the order Anura), uncovers existing gaps in current research and recommends strategies and directions for future research. The present study improves the knowledge about the influences of evolution and habitat on the bauplan of tadpoles in a global scale ensuring maximum standardization and comparability of the data. In relation to the total number of tadpoles assumed to exist, only a small proportion has been described and only a few of them have been identified genetically. The lack of a global standard for their description makes it difficult to compare data. Using the tadpole of a harlequin frog (Atelopus) from Guiana region, it is shown that only an integrative approach with morphological and genetic data can solve taxonomic problems. In the study area of Madagascar, it becomes evident that in this region the common genetic history only has little influence on morphology, in contrast to the aquatic way of life. Tadpoles from flowing waters develop larger eyes, more robust tail muscles and smaller fins to cope better with current conditions and move more efficiently. In an additional study, the examination is extended to an almost global level. To achieve the intended standardization, over 1000 individuals (tadpoles) from 144 species have been examined. It can be shown that the common evolutionary history on a global scale influences morphology as strongly as the habitat. In addition, the influence of specialized nutrition and the climate is investigated.

This thesis examines how Europe sustains its leadership and competitiveness as a global center for foreign direct investment (FDI) and trade between 1991 and 2023. While EU membership historically functioned as the dominant determinant of inward FDI and trade integration, its relative influence has declined as new structural factors, based on trade dynamics and export-platform strategies, have emerged, together with the growing presence of Asian, especially Chinese, investors establishing production hubs in Central and Eastern Europe to serve the wider EU market. Lower trade costs within Europe have reinforced this shift, leading EU investors to focus on vertical FDI, while non-EU investors to adopt export-platform FDI patterns. Chinese investment has moved from infrastructure-focused projects to strategic-sector FDI, highlighting Europe’s exposure to evolving global industrial and geopolitical dynamics. Chapter 2 examines how traditional determinants of FDI, including EU membership, interact with emerging drivers, such as trade interdependence, export-platform strategies, and Asian influence, to shape investment patterns in Europe. It employs a gravity-based empirical framework augmented with newly developed indicators, comprising the Bilateral Trade Interdependence Index, the Export-Platform Indicator, and Belt and Road Initiative (BRI) participation, together with a functional integration approach, covering over 95% of European countries and their global partners from 2010 to 2023. The findings indicate that trade dependency with non-EU partners grew most rapidly, increasing by 55% between 2011 and 2023. Stronger bilateral trade interdependence is found to significantly predict higher FDI inflows. The BRI analysis and functional classification indicate a shift from infrastructure-focused Chinese investment to strategic sectors, including electric vehicles and semiconductors. Since 2018, export-platform strategies have expanded from Europe’s core economies into Central and Eastern Europe, forming emerging production hubs, and have subsequently moved toward the Western Balkans and Turkey, likely reflecting evolving EU regulations and broader supply-chain realignments. Chapter 3 expands the FDI analysis to cover a longer timeframe, from 1991 to 2017, focusing on the period when EU membership exerted a strong influence on FDI in Europe, transforming member countries from primarily cost-attractive destinations into global investment centers. Using an augmented gravity model covering 39 host and origin countries, the analysis finds that EU membership increased FDI inflows by 23%, with investments from core EU members expanding into new EU member states, while FDI from non-EU countries decreased. At the same time, EU membership may also be driven by trade, and EEA participation reflects non-FDI motivations. The chapter also highlights that EU accession strengthens both market-seeking (horizontal) and efficiency-seeking (vertical) FDI motives and applies methods to address negative and zero FDI values issues, ensuring robust estimation. The inclusion of lagged and lead variables shows that the EU integration process is phased over time, affecting FDI inflows with lags of up to 10–15 years after accession. Chapter 4 expands the range of FDI determinants by deriving trade cost indices as a proxy for connectivity and extending the geographic scope of the analysis. In addition to EU members, the sample includes the Western Balkans, Turkey, and new EU candidates and applicants (Moldova, Ukraine, and Georgia) over the period 2000 to 2020, covering approximately 80% of European FDI flows. Trade costs are calculated for each country in the sample with its trade partners, not only within and between European subregions but also with non-EU partners such as China, and are combined with measures of FDI restrictiveness. The results show that China remains among the EU’s top three trading partners in goods and that trade costs significantly influence FDI inflows in Europe. The analysis also highlights that declining trade costs between European countries have reduced market-seeking (horizontal) FDI, while non-European investors, especially China, increasingly pursue export-platform FDI to serve third-country markets. A sharp reduction in trade costs between the Western Balkans and the EU (-45%) and a smaller decline with China (-35%) illustrates how regional integration reduces the need for local horizontal FDI while reinforcing Europe’s role as a hub for global production. Chapter 5 shows that despite concerns about increasing outside influence, developed European countries remain the dominant source of FDI in the region. The chapter focuses on China’s role, examining FDI patterns across advanced EU members, new member states, and Western Balkan economies between 2000 and 2019, while distinguishing the effects of EU integration and BRI participation on FDI. Chinese influence has expanded primarily through the Belt and Road Initiative, particularly in accession and neighboring countries. Although BRI participation does not significantly increase FDI on its own, reflecting the dominant part of loan-financed infrastructure rather than private investment, it has strengthened physical and digital connectivity, laying the groundwork for future, longer-term FDI. The analysis also shows that intra-EU trade costs declined significantly after the 2004 and 2007 enlargements, while trade costs between the Western Balkans and China have fallen steadily since the launch of the BRI in 2013. As a result, Chinese influence is more pronounced in new EU member states and Western Balkan economies than in Western Europe. Over time, enhanced connectivity and supply-chain integration may support more diversified FDI inflows.

Die vorliegende Dissertation untersucht das Motiv der Freiheit als zentrales Thema in Werken des DDR-Autors Ulrich Plenzdorf. Ziel ist es, Plenzdorfs literarische Auseinandersetzung mit individuellen Freiheitsbestrebungen unter den Bedingungen der SED-Diktatur eingehend zu erschließen. Die Analyse erfolgt diachron und umfasst Texte aus den 1960er Jahren bis zum Ende der 1980er Jahre, wodurch Entwicklungslinien, thematische Verschiebungen und ästhetische Veränderungen im Werk sichtbar werden. Neben kanonisierten Werken werden auch bislang wenig beachtete Texte einbezogen, um ein vollständigeres Bild von Plenzdorfs literarischer Produktion zu gewinnen und Forschungslücken zu schließen. Methodisch orientiert sich die Studie an einem kulturwissenschaftlichen Ansatz im Sinne des New Historicism, der literarische Texte als Teil kultureller Praktiken und sozialer Machtverhältnisse versteht. Vor diesem Hintergrund wird gezeigt, wie Plenzdorf Freiheitsvorstellungen in unterschiedlichen historischen Phasen der DDR artikuliert und mit Alltagskultur, Subkulturen sowie gesellschaftlichen Konfliktfeldern verknüpft. Diese Dissertation leistet damit einerseits einen Beitrag zur Neubewertung Plenzdorfs und andererseits zur kulturhistorischen Kontextualisierung der DDR-Literatur.

From Gene to Ecosystem – Retrospective molecular biodiversity monitoring of plant-associated arthropod communities and abiotic stress on plants

This thesis serves as proof of concept for the tensile strength simulation-based nonwoven material design. Objective is the adjustment of the parameters of an underlying production process with regard to a desired tensile strength behavior (optimization). As an example, we focus on the nonwoven airlay production and consider a thermobonding procedure for the consolidation of the nonwoven fabrics. To be able to map production parameters to the associated tensile strength behavior, we present a model-simulation framework composed of a model for the nonwoven fiber structure generation and a model for the nonwovens’ mechanical behavior under vertical load. The model for the fiber structure generation replicates the stochastic fiber lay-down of the airlay production and results in a random three-dimensional fiber web. This web is consolidated using a virtual bonding procedure that mimics the thermobonding of the nonwoven material. The topology of the resulting adhered fiber structure can be described by a graph, which serves as basis for the subsequent tensile strength simulation. The model used for this purpose describes the mechanical behavior of the material at fiber network level. Therefore, the considered fiber structure sample is interpreted as truss and the fiber connections are equipped with a nonlinear material law, which allows to describe the elastic phase of the nonwovens’ tensile strength behavior. The existence and uniqueness of a solution to the model as well as its numerical treatment are discussed. Moreover, we present data reduction strategies that enable more efficient simulations by removing fiber structure parts that do not contribute to the tensile strength behavior. As it becomes evident from the numerical experiments, a single tensile strength simulation for a production-like virtual sample is already computational demanding. Costs accumulate further, since Monte-Carlo simulations are required to account for the randomness in the fiber structure generation. Thus, direct simulations provide an infeasible basis for the nonwoven material design. This motivates the use of a predictive surrogate for optimization. Therefore, we consider regression-based approaches at different levels of information within the simulation framework. It turns out that the coupling of a polynomial model, for the fiber structure feature inference, with a linear one, for the stress-strain curve inference, yields accurate predictions. Once trained, the regression models allow for efficient evaluations and thus represent a suitable surrogate for the nonwoven material design. In this context, we discuss two exemplary problems of interest for the application: First, a tracking-type problem that aims to find the production parameters that result in a desired tensile strength behavior, expressed in terms of stress-strain curves. Second, an in-corridor maximization problem, which aims to identify the production parameters that maximize the probability of ending up in a specified stress-strain corridor.