@misc{48254,
  author       = {{Schneider, Jennifer Nicole}},
  title        = {{{EU-CERT. Second Transnational Project Meeting.Presentation about accreditation and certificate structures}}},
  year         = {{2022}},
}

@book{47983,
  editor       = {{Beutner, Marc and Pechuel, Rasmus and Schneider, Jennifer Nicole}},
  publisher    = {{IK-Verlag}},
  title        = {{{E-Learning, Digitisation and Units for Learning at VET schools Creating Online Learning Environments in Technical Education for European metal industry. New Opportunities and Challenges for European VET schools in metal industry. Insights in the EDU VET Project}}},
  year         = {{2022}},
}

@misc{48248,
  author       = {{Schneider, Jennifer Nicole}},
  title        = {{{EU-CERT - European Certificates and Accreditation for European Projects. The EU-CERT – Accreditation Conference. Current Status of the EU-CERT project}}},
  year         = {{2022}},
}

@misc{48244,
  author       = {{Beutner, Marc and Schneider, Jennifer Nicole}},
  title        = {{{EU-CERT - European Certificates and Accreditation for European Projects. The EU-CERT-Project - Dissemination and Exploitation}}},
  year         = {{2022}},
}

@article{44689,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Even in the digital age, learning mathematics at an academic level still requires much reading of mathematical text. Research has shown that reading mathematical text requires readers to engage with all the structures of the book and with its pedagogical voice, making connections, and plausible reasoning. Specific practices and strategies that support the close reading of mathematical text have been suggested; however, descriptions and empirical evaluations of materials designed to support these activities are rare. We present the design and first evaluation cycle of materials developed in a design research project that aims to scaffold close reading of mathematical text. The materials were designed and evaluated in a German university course on elementary geometry for first-year teacher education students who study mathematics to become primary teachers. The reading strategies were explained and modeled for students in reading-strategy videos. Additionally, close reading of mathematical text was scaffolded by close-reading tasks and homework tasks and problems that build on the reading strategies and were specifically designed to foster understanding of the mathematical text. Survey data were collected from 296 students to evaluate their use of and attitude toward the different materials. The quantitative results indicate that students used the materials and were generally able to learn the course content by themselves. From all provided materials, they found the close-reading tasks most helpful. A qualitative analysis of answers to open questions revealed issues with different materials, particularly with the script, and requests for additional materials. The issues with the script were categorized inductively. The categories are presented as a qualitative result of the study and discussed.</jats:p>}},
  author       = {{Rezat, Sebastian and Malik, Sara Naseem and Leifeld, Markus}},
  issn         = {{1571-0068}},
  journal      = {{International Journal of Science and Mathematics Education}},
  keywords     = {{General Mathematics, Education}},
  number       = {{S1}},
  pages        = {{215--236}},
  publisher    = {{Springer}},
  title        = {{{Scaffolding Close Reading of Mathematical Text in Pre-service Primary Teacher Education at the Tertiary Level: Design and Evaluation}}},
  doi          = {{10.1007/s10763-022-10309-y}},
  volume       = {{20}},
  year         = {{2022}},
}

@phdthesis{34174,
  abstract     = {{Anforderungsänderungen sind ein wesentlicher Grund für Ineffizienzen und Projektfehlschläge in der Entwicklung komplexer technischer Systeme. Proaktives Management von Anforderungsänderungen hat das Potenzial, den Umgang mit Anforderungsänderungen effizienter zu gestalten. Dafür ist ein systematischer Ansatz erforderlich, der eine ganzheitliche Bewertung und Handhabung des Änderungsrisikos im industriellen Entwicklungskontext ermöglicht. Im Rahmen dieser Dissertation wird mit der ProMaRC-Methodik ein neuartiger Ansatz für das proaktive Management von Anforderungsänderungen vorgestellt. Die Methodik wurde in enger Zusammenarbeit mit Industrieanwender:innen aus der Automobilindustrie entwickelt und anhand von fünf Fallstudien validiert. Mittels automatisierter Abhängigkeitsanalyse auf Grundlage künstlicher Intelligenz wird der Anwendungsaufwand gegenüber bestehenden Ansätzen reduziert. Die teilautomatisierte Bewertung und Handhabung der Änderungswahrscheinlichkeit und -auswirkung erfolgt anhand eines modifizierten PageRank-Algorithmus und umfasst erstmalig alle für die Risikoanalyse relevanten Einflussfaktoren. Die Validierung belegt, dass durch die ProMaRC-Methodik eine überzeugende Kombination aus praxistauglichem Anwendungsaufwand und Vollständigkeit der Analyse erzielt wird. Damit erschließt diese Dissertation das bisher kaum beachtete Forschungsfeld des proaktiven Managements von Anforderungsänderungen und fördert eine effizientere Produktentwicklung.}},
  author       = {{Oleff, Christian}},
  publisher    = {{LibreCat University}},
  title        = {{{Proaktives Management von Anforderungsänderungen in der Entwicklung komplexer technischer Systeme}}},
  doi          = {{10.17619/UNIPB/1-1600}},
  volume       = {{406}},
  year         = {{2022}},
}

@inproceedings{55834,
  abstract     = {{Performance of music in the home was the means by which most works were received before the advent of audio recordings and broadcasts, yet the notation sources that form our primary record of this culture have not been the subject of comprehensive or methodical study. Choices made by arrangers adapting music for domestic consumption – of instrumentation, abbreviation, or simplification – reflect the musical life of the 19th century, and can inform our understanding alongside contemporary accounts such as newspapers, adverts, and diaries. This position paper gives the background, motivation, and proposed approach of research currently being undertaken within the Beethoven in the House project. This will include a study of Steiner editions of Beethoven’s 7th and 8th Symphonies and Wellingtons Sieg, making a detailed comparison between arrangements, systematically identifying a core common to multiple versions, and asking if this reflects the stated values of the publisher. A second survey will look for patterns across a larger sample of lesser-known and poorly catalogued scores, collating emergent indicators of arrangers’ motivations within a narrative of the domestic market – the music industry of its day. Both studies will innovate digital methods which characterise arrangements as music encodings, including ‘sparse’ approaches to notation and annotation.}},
  author       = {{Page, Kevin R. and Kepper, Johannes and Siegert, Christine and Hankinson, Andrew and Lewis, David}},
  booktitle    = {{Music Encoding Conference Proceedings 2021}},
  editor       = {{Münnich, Stefan and Rizo, David}},
  isbn         = {{978-84-13-02173-7}},
  keywords     = {{BitH, mec-proceedings, mec-proceedings-2021}},
  pages        = {{117–123}},
  publisher    = {{Humanities Commons}},
  title        = {{{Beethoven in the House: Digital Studies of Domestic Music Arrangements}}},
  doi          = {{10.17613/389b-xx73}},
  year         = {{2022}},
}

@article{37441,
  abstract     = {{<jats:p>The present study investigates eight Grade-4 classes (9- to 12-year-olds, 52.1% girls) who worked on at least 10 lessons using project RegioDiff material. The study focuses on one of these lessons (including nine text passages and corresponding tasks) and on students with low (19 students, percentile &lt;15) and high reading skills (29 students, percentile &gt; 70). While students were working with the material, screencasts were recorded (30h). The construct “task performance” (processing time, response accuracy, and task engagement) was then analysed using the screencasts.&#x0D;
The analysis revealed that the two groups differed significantly in the processing time of two tasks, but not in the total time spent on all nine tasks. Significant differences were revealed also for general task engagement. Task engagement was highly correlated with processing time. Participants with higher reading skills spent more time on the tasks and were more engaged than participants with lower reading skills. However, we did not find any differences in terms of answer accuracy. This indicates that task difficulty and student reading skills were well matched.&#x0D;
The study also shows how tasks may be adapted or augmented in order to match the learning environment more closely to student learning needs.</jats:p>}},
  author       = {{Paleczek, Lisa and Ender, Daniela and Kogler, Andrea and Seifert, Susanne}},
  issn         = {{2048-8645}},
  journal      = {{European Conference on e-Learning}},
  number       = {{1}},
  pages        = {{338--347}},
  publisher    = {{Academic Conferences International Ltd}},
  title        = {{{Comparing Student high and low Reading Performance with Differentiated Digital Reading Materials}}},
  doi          = {{10.34190/ecel.21.1.680}},
  volume       = {{21}},
  year         = {{2022}},
}

@article{32174,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Increasing system complexity can be controlled by using systems engineering processes. INCOSE defines processes with inputs and outputs (artifacts) for this purpose. Specific SE roles are used to organize the tasks of the processes within the company. In this work, the responsibilities for artifacts are evaluated by means of the RACI scheme and examined by a cluster analysis and discussed for a SE transformation project with a German automotive OEM. As a result of the study, the optimal composition for systems engineering teams is identified and the systems engineering roles are prioritized.</jats:p>}},
  author       = {{Gräßler, Iris and Thiele, Henrik and Grewe, Benedikt and Hieb, Michael}},
  issn         = {{2732-527X}},
  journal      = {{Proceedings of the Design Society}},
  keywords     = {{systems engineering (SE), project management, model-based systems engineering (MBSE)}},
  location     = {{Dubrovnik}},
  pages        = {{1875--1884}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Responsibility Assignment in Systems Engineering}}},
  doi          = {{10.1017/pds.2022.190}},
  volume       = {{2}},
  year         = {{2022}},
}

@inproceedings{38158,
  author       = {{Winkelnkemper, Felix and Huhmann, Tobias and Bechinie, Dominik and Eilerts, Katja and Lenke, Michael and Schulte, Carsten}},
  booktitle    = {{Society for Information Technology & Teacher Education International Conference}},
  keywords     = {{⛔ No DOI found}},
  pages        = {{1407–1413}},
  title        = {{{Supporting Geometry Learning Digitally-an Interdisciplinary Project to Foster Spatial Competences and Individual Learning Paths by Using Adaptable Algorithmic Feedback Capabilities}}},
  year         = {{2022}},
}

@inproceedings{40046,
  abstract     = {{Theoretical approaches to the transformation towards an inclusive educational system in Germany mostly agree on the involvement of developmental tasks in subject related research (Hinz, 2011). The common understanding of inclusion as a process geared towards equal participation of all children (Booth, 2012) requires a reflexive questioning of established values, attitudes and practices in order to develop inclusive subject related research, teacher training and teaching and learning (Pech & Schomaker, 2013). Among other things, this results in consequences for the design of pre- service teacher training. To a large extent, teacher education is driven by the promotion of central competencies, interests and self-efficacy (Baumert & Kunter, 2011). It aims towards the development and realisation of inclusive interdisciplinary science and social studies (‘Sachunterricht’) in primary education (Moser, 2018). In conjunction with largely acknowledged constructivist approaches to teaching and learning (Möller, 2001), the development of personality, the consideration of basic needs (Deci & Ryan, 1993) and promotion of individual potentials are repeatedly fundamentally represented in subject related and pedagogical considerations (Feuser, 1989; GDSU, 2013). Therefore, the aforementioned constructivist approach is connected to several certain key paradigms for teaching and learning processes (e.g., Vygotskij, 1978; Posner et al., 1982; van de Pol et al., 2010). In this regard, the nature of primary school students’ basic needs have empirically not been sufficiently studied yet. Theoretical frameworks from motivational psychology (Deci & Ryan, 1993) do not explicitly address how individual needs differ and how the diversity of needs can be included in joint-learning, multi-perspective technology education classes. The research project the present paper is part of aims to develop a research-based concept for the professionalisation of pre-service teachers in a seminar course. Therefore, the promotion of the pre- service teachers’ interests and self-efficacy expectations have been assessed in a pre-post research design with a control group visiting another course not related to technology education and inclusion. The present paper describes and discusses first results of the project and will give an outlook on subsequent developmental tasks.}},
  author       = {{Schröer, Franz and Tenberge, Claudia}},
  booktitle    = {{PATT39 - PATT on the Edge Technology, Innovation and Education}},
  editor       = {{Gill, David and Tuff, Jim and Kennedy, Thomas and Pendergast, Shawn and Jamil, Sana}},
  keywords     = {{Inclusion, basic needs, pre-service teacher training, interest, self-efficacy}},
  location     = {{St. John’s, Newfoundland and Labrador, Canada}},
  pages        = {{49--57}},
  title        = {{{How to enable pre-service teachers to design technological teaching and learning inclusively? – On the nature and consideration of basic needs in teacher training}}},
  year         = {{2022}},
}

@inproceedings{30937,
  abstract     = {{<jats:p>Data Science has become an increasingly important aspect of our everyday lives as we gain a lot of different insights from data analyses, for example in the context of environmental issues. In order to make the process of data analyses comprehensible for lower secondary school students, we developed a data analysis project for computer science classes, focusing on gaining insights from environmental data by using the concept of epistemic programming. In this article, we report on the second implementation of this project, which was conducted in a ninth-grade computer science class. Concretely, we want to examine, how far the students were able to create computational essays to conduct reproducible data analyses on their own. In this regard, the computational essays created with the help of the professional tool Jupyter Notebooks will be examined in terms of aspects of reproducibility.</jats:p>}},
  author       = {{Hüsing, Sven and Podworny, Susanne}},
  booktitle    = {{Proceedings of the IASE 2021 Satellite Conference}},
  publisher    = {{International Association for Statistical Education}},
  title        = {{{Computational Essays as an Approach for Reproducible Data Analysis in lower Secondary School}}},
  doi          = {{10.52041/iase.zwwoh}},
  year         = {{2022}},
}

@inproceedings{41164,
  abstract     = {{Companies show an increasing interest in low-code development platforms to facilitate application development by domain experts without sophisticated software development knowledge. Thus, companies aim for a more efficient development of more effective applications since domain experts as so-called citizen developers are no longer limited by the availability and domain knowledge of trained software developers. Nevertheless, efficiency and effectiveness of application development is traditionally also largely influenced by the use of a suitable software development method. Domain experts are, however, not trained in software development methods. This introduces a risk of domain experts creating unusable applications or exceeding the designated time frame of a project (or both). In this paper, we therefore propose an initial version of a situational software development method which supports domain experts in manufacturing companies during the low-code development of applications. The method can be tailored based on situational factors, considering application requirements, features of the used low-code development platform, and characteristics of the development team. We also present feedback corroborating the usefulness of our method and future extension points based on expert interviews.}},
  author       = {{Kirchhoff, Jonas and Weidmann, Nils and Sauer, Stefan and Engels, Gregor}},
  booktitle    = {{Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings}},
  publisher    = {{ACM}},
  title        = {{{Situational Development of Low-Code Applications in Manufacturing Companies}}},
  doi          = {{10.1145/3550356.3561560}},
  year         = {{2022}},
}

@article{31791,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Requirements changes are a leading cause for project failures. Due to propagation effects, change management requires dependency analysis. Existing approaches have shortcomings regarding ability to process large requirement sets, availability of required data, differentiation of propagation behavior and consideration of higher order dependencies. This paper introduces a new method for advanced requirement dependency analysis based on machine learning. Evaluation proves applicability and high performance by means of a case example, 4 development projects and 3 workshops with industry experts.</jats:p>}},
  author       = {{Gräßler, Iris and Oleff, Christian and Hieb, Michael and Preuß, Daniel}},
  issn         = {{2732-527X}},
  journal      = {{Proceedings of the Design Society}},
  pages        = {{1865--1874}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Automated Requirement Dependency Analysis for Complex Technical Systems}}},
  doi          = {{10.1017/pds.2022.189}},
  volume       = {{2}},
  year         = {{2022}},
}

@article{33999,
  abstract     = {{<jats:p>The production of complex multi-functional, high-strength parts is becoming increasingly important in the industry. Especially with small batch size, the incremental flow forming processes can be advantageous. The production of parts with complex geometry and locally graded material properties currently depicts a great challenge in the flow forming process. At this point, the usage of closed-loop control for the shape and properties could be a feasible new solution. The overall aim in this project is to establish an intelligent closed-loop control system for the wall thickness as well as the α’-martensite content of AISI 304L-workpieces in a flow forming process. To reach this goal, a novel sensor concept for online measurements of the wall thickness reduction and the martensite content during forming process is proposed. It includes the setup of a modified flow forming machine and the integration of the sensor system in the machine control. Additionally, a simulation model for the flow forming process is presented which describes the forming process with regard to the plastic workpiece deformation, the induced α’-martensite fraction, and the sensor behavior. This model was used for designing a closed-loop process control of the wall thickness reduction that was subsequently realized at the real plant including online measured feedback from the sensor system.</jats:p>}},
  author       = {{Kersting, Lukas and Arian, Bahman and Vasquez, Julian Rozo and Trächtler, Ansgar and Homberg, Werner and Walther, Frank}},
  issn         = {{1662-9795}},
  journal      = {{Key Engineering Materials}},
  keywords     = {{Mechanical Engineering, Mechanics of Materials, General Materials Science}},
  pages        = {{862--874}},
  publisher    = {{Trans Tech Publications, Ltd.}},
  title        = {{{Innovative Online Measurement and Modelling Approach for Property-Controlled Flow Forming Processes}}},
  doi          = {{10.4028/p-yp2hj3}},
  volume       = {{926}},
  year         = {{2022}},
}

@misc{29000,
  abstract     = {{This thesis aims to provide a bidirectional chatbot solution for the requirement engineering process. The Sonderforschungsbereich (SFB) 901 intends to provide the composition of software service On-the-Fly (OTF). The sub-project (B1) of the SFB 901 project deals with the parameters of service configuration. OTF Computing aims to eradicate the dependency on the requirement engineers for the software development process. However, there is no existing bidirectional chatbot solution that analyses user software requirements and provides viable suggestions to the user regarding their service. Previously, CORDULA chatbot was developed to analyze the software requirements but cannot keep the conversation’s context. The Rasa framework is integrated with the knowledge base to solve the issue, the knowledge base provides domain-specific knowledge to the chatbot. The software description is passed through the natural language understanding process to give consciousness to the chatbot. This process involves various machine learning models, including app family classification, to correctly identify the domain for user OTF service. The statistical models like naïve Bayes, kNN and SVM are compared with transformer models for this classification task. Furthermore, the entities (functional requirements) are also separated from the user description.
The chatbot provides the suggestion of requirements from the preliminary service template with the support of the knowledge base. Furthermore, the generated response is compared with the state-of-the-art DialoGPT transformer model and ChatterBot conversational library. These models are trained over the software development related conversational dataset. All the responses are ranked using the DialoRPT model, and the BLEU score to evaluates the models’ responses. Moreover, the chatbot mod- els are tested with human participants, they used and scored the chatbot responses based on effectiveness, efficiency and satisfaction. The overall response accuracy is also measured by averaging the user approval over the generated responses.}},
  author       = {{Ahmed, Mobeen}},
  title        = {{{Knowledge Base Enhanced & User-centric Dialogue Design for OTF Computing}}},
  year         = {{2022}},
}

@article{30213,
  abstract     = {{<jats:p>Requirement changes and cascading effects of change propagation are major sources of inefficiencies in product development and increase the risk of project failure. Proactive change management of requirement changes yields the potential to handle such changes efficiently. A systematic approach is required for proactive change management to assess and reduce the risk of a requirement change with appropriate effort in industrial application. Within the paper at hand, a novel method for Proactive Management of Requirement Changes (ProMaRC) is presented. It is developed in close collaboration with industry experts and evaluated based on workshops, pilot users’ feedback, three industrial case studies from the automotive industry and five development projects from research. To limit the application effort, an automated approach for dependency analysis based on the machine learning technique BERT and semi-automated assessment of change likelihood and impact using a modified PageRank algorithm is developed. Applying the method, the risks of requirement changes are assessed systematically and reduced by means of proactive change measures. Evaluation shows high performance of dependency analysis and confirms the applicability and usefulness of the method. This contribution opens up the research space of proactive risk management for requirement changes which is currently almost unexploited. It enables more efficient product development.</jats:p>}},
  author       = {{Gräßler, Iris and Oleff, Christian and Preuß, Daniel}},
  issn         = {{2076-3417}},
  journal      = {{Applied Sciences}},
  keywords     = {{Fluid Flow and Transfer Processes, Computer Science Applications, Process Chemistry and Technology, General Engineering, Instrumentation, General Materials Science}},
  number       = {{4}},
  publisher    = {{MDPI AG}},
  title        = {{{Proactive Management of Requirement Changes in the Development of Complex Technical Systems}}},
  doi          = {{10.3390/app12041874}},
  volume       = {{12}},
  year         = {{2022}},
}

@article{30228,
  abstract     = {{Confidence in additive manufacturing technologies is directly related to the predictability of part properties, which is influenced by several factors. To gain confidence, online process monitoring with dedicated and reliable feedback is desirable for every process. In this project, a powder bed monitoring system was developed as a retrofit solution for the EOS P3 laser sintering machines. A high-resolution camera records each layer, which is analyzed by a Region-Based Convolutional Neural Network (Mask R-CNN). Over 2500 images were annotated and classified to train the network in detecting defects in the powder bed at a very high level. Each defect is checked for intersection with exposure areas. To distinguish between acceptable imperfections and critical defects that lead to part rejection, the impact of these imperfections on part properties is investigated.}},
  author       = {{Klippstein, Sven Helge and Heiny, Florian and Pashikanti,, Nagaraju and Gessler, Monika and Schmid, Hans-Joachim}},
  journal      = {{JOM - The Journal of The Minerals, Metals & Materials Society (TMS)}},
  location     = {{Online}},
  pages        = {{1149–1157}},
  publisher    = {{Springer}},
  title        = {{{Powder Spread Process Monitoring in Polymer Laser Sintering and its Influences on Part Properties}}},
  doi          = {{https://doi.org/10.1007/s11837-021-05042-w }},
  volume       = {{74}},
  year         = {{2022}},
}

@inproceedings{31648,
  abstract     = {{Die Anforderungen an die Entwicklung mechatronischer Systeme sind seit der Erstfassung der VDI Richtlinie 2206 im Jahr 2004 stetig gestiegen. Nach einer umfassenden Überarbeitung ist 2021 die Richtline im Weißdruck neu veröffentlicht worden. Neben dem Systemdenken als gestärktes Kernelement des V-Modells und sechs Kontrollpunkten nur Gliederung der sachlogischen Aufgaben ist die durchgängig explizite „Modellierung und Analyse“ eine wesentliche Neuerung der Richtlinie. Da sich die Kontrollfragen nur auf den Entwicklungsprozess im Ganzen beziehen, wird durch die Betrachtung der Modellierung eines Batteriesystems aus einem Entwicklungsprojekt eines deutschen Automobilherstellers die folgende Forschungsfrage betrachtet: Welche spezifischen Kontrollfragen zu Fortschritt und Reifegrad der Modellierung eines Batteriesystems können aus den Kontrollpunkten des V-Modells (VDI 2206:2020) gefolgert werden?
Als Ergebnis der Forschung liegen hinsichtlich der Modellierung eines spezifischen Systems detaillierte Kontrollfragen vor, die eine methodische Unterstützung für die modellbasierte Systementwicklung komplexer mechatronischer Systeme bieten. Zusätzlich ermöglichen sie der Projektleitung die Überprüfung des aktuellen Status der Entwicklung und sichern die Vollständigkeit des Systemmodells ab.}},
  author       = {{Gräßler, Iris and Wiechel, Dominik and Thiele, Henrik}},
  booktitle    = {{Tagungsband der Fachtagung VDI-Mechatronik}},
  editor       = {{Bertram, T. and Corves, B. and Janschek, K. and Rinderknecht, S.}},
  location     = {{Darmstadt}},
  publisher    = {{TU Darmstadt}},
  title        = {{{Fortschrittskontrolle der Modellierung mechatronischer Produkte}}},
  volume       = {{15}},
  year         = {{2022}},
}

@article{31647,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Effect chain modeling approaches are applied to model cause-effect relations and analyze affected elements and dependencies. In this paper a systematic literature research is conducted to derive main characteristics and limitations of existing approaches. Then, the Model-based Effect Chain Analysis (MECA) method is introduced. Evaluation proves applicability of the method by means of a case example. This is done in the context of a project with a German automotive company. In the project 66 workshops were conducted to model certification-compliant effect chains in accordance to the UN ECE 156.</jats:p>}},
  author       = {{Gräßler, Iris and Wiechel, Dominik and Koch, Anna-Sophie and Preuß, Daniel and Oleff, Christian}},
  issn         = {{2732-527X}},
  journal      = {{Proceedings of the Design Society}},
  pages        = {{1885--1894}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Model-Based Effect-Chain Analysis for Complex Systems}}},
  doi          = {{10.1017/pds.2022.191}},
  volume       = {{2}},
  year         = {{2022}},
}