[{"issue":"1","quality_controlled":"1","year":"2024","date_created":"2023-08-10T08:24:48Z","publisher":"AIP Publishing","title":"Learning of discrete models of variational PDEs from data","publication":"Chaos","file":[{"file_id":"50376","access_level":"open_access","file_name":"Accepted manuscript with AIP banner CHA23-AR-01370.pdf","file_size":13222105,"title":"Accepted Manuscript Chaos","date_created":"2024-01-09T10:48:38Z","creator":"coffen","date_updated":"2024-01-09T10:48:38Z","relation":"main_file","content_type":"application/pdf"},{"relation":"main_file","content_type":"application/pdf","title":"Learning of discrete models of variational PDEs from data","file_size":12960884,"description":"We show how to learn discrete field theories from observational data of fields on a space-time lattice. For this, we train\na neural network model of a discrete Lagrangian density such that the discrete Euler–Lagrange equations are consistent\nwith the given training data. We, thus, obtain a structure-preserving machine learning architecture. Lagrangian\ndensities are not uniquely defined by the solutions of a field theory. We introduce a technique to derive regularisers for\nthe training process which optimise numerical regularity of the discrete field theory. Minimisation of the regularisers\nguarantees that close to the training data the discrete field theory behaves robust and efficient when used in numerical\nsimulations. Further, we show how to identify structurally simple solutions of the underlying continuous field theory\nsuch as travelling waves. This is possible even when travelling waves are not present in the training data. This is\ncompared to data-driven model order reduction based approaches, which struggle to identify suitable latent spaces\ncontaining structurally simple solutions when these are not present in the training data. Ideas are demonstrated on\nexamples based on the wave equation and the Schrödinger equation.","file_name":"LDensityPDE_AIP.pdf","file_id":"50390","access_level":"open_access","date_updated":"2024-01-09T11:19:49Z","creator":"coffen","date_created":"2024-01-09T11:19:49Z"}],"abstract":[{"lang":"eng","text":"We show how to learn discrete field theories from observational data of fields on a space-time lattice. For this, we train a neural network model of a discrete Lagrangian density such that the discrete Euler--Lagrange equations are consistent with the given training data. We, thus, obtain a structure-preserving machine learning architecture. Lagrangian densities are not uniquely defined by the solutions of a field theory. We introduce a technique to derive regularisers for the training process which optimise numerical regularity of the discrete field theory. Minimisation of the regularisers guarantees that close to the training data the discrete field theory behaves robust and efficient when used in numerical simulations. Further, we show how to identify structurally simple solutions of the underlying continuous field theory such as travelling waves. This is possible even when travelling waves are not present in the training data. This is compared to data-driven model order reduction based approaches, which struggle to identify suitable latent spaces containing structurally simple solutions when these are not present in the training data. Ideas are demonstrated on examples based on the wave equation and the Schrödinger equation. "}],"external_id":{"arxiv":["2308.05082 "]},"language":[{"iso":"eng"}],"ddc":["510"],"related_material":{"link":[{"description":"GitHub","relation":"software","url":"https://github.com/Christian-Offen/DLNN_pde"}]},"publication_status":"published","publication_identifier":{"issn":["1054-1500"]},"has_accepted_license":"1","citation":{"short":"C. Offen, S. Ober-Blöbaum, Chaos 34 (2024).","bibtex":"@article{Offen_Ober-Blöbaum_2024, title={Learning of discrete models of variational PDEs from data}, volume={34}, DOI={<a href=\"https://doi.org/10.1063/5.0172287\">10.1063/5.0172287</a>}, number={1013104}, journal={Chaos}, publisher={AIP Publishing}, author={Offen, Christian and Ober-Blöbaum, Sina}, year={2024} }","mla":"Offen, Christian, and Sina Ober-Blöbaum. “Learning of Discrete Models of Variational PDEs from Data.” <i>Chaos</i>, vol. 34, no. 1, 013104, AIP Publishing, 2024, doi:<a href=\"https://doi.org/10.1063/5.0172287\">10.1063/5.0172287</a>.","apa":"Offen, C., &#38; Ober-Blöbaum, S. (2024). Learning of discrete models of variational PDEs from data. <i>Chaos</i>, <i>34</i>(1), Article 013104. <a href=\"https://doi.org/10.1063/5.0172287\">https://doi.org/10.1063/5.0172287</a>","ama":"Offen C, Ober-Blöbaum S. Learning of discrete models of variational PDEs from data. <i>Chaos</i>. 2024;34(1). doi:<a href=\"https://doi.org/10.1063/5.0172287\">10.1063/5.0172287</a>","ieee":"C. Offen and S. Ober-Blöbaum, “Learning of discrete models of variational PDEs from data,” <i>Chaos</i>, vol. 34, no. 1, Art. no. 013104, 2024, doi: <a href=\"https://doi.org/10.1063/5.0172287\">10.1063/5.0172287</a>.","chicago":"Offen, Christian, and Sina Ober-Blöbaum. “Learning of Discrete Models of Variational PDEs from Data.” <i>Chaos</i> 34, no. 1 (2024). <a href=\"https://doi.org/10.1063/5.0172287\">https://doi.org/10.1063/5.0172287</a>."},"intvolume":"        34","author":[{"last_name":"Offen","orcid":"0000-0002-5940-8057","id":"85279","full_name":"Offen, Christian","first_name":"Christian"},{"full_name":"Ober-Blöbaum, Sina","id":"16494","last_name":"Ober-Blöbaum","first_name":"Sina"}],"volume":34,"date_updated":"2024-08-12T13:45:43Z","oa":"1","doi":"10.1063/5.0172287","type":"journal_article","status":"public","user_id":"85279","department":[{"_id":"636"}],"project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"_id":"46469","file_date_updated":"2024-01-09T11:19:49Z","article_number":"013104","article_type":"original"},{"citation":{"ieee":"C. Offen, “Machine learning of discrete field theories with guaranteed convergence and uncertainty quantification.” .","chicago":"Offen, Christian. “Machine Learning of Discrete Field Theories with Guaranteed Convergence and Uncertainty Quantification,” n.d.","ama":"Offen C. Machine learning of discrete field theories with guaranteed convergence and uncertainty quantification.","apa":"Offen, C. (n.d.). <i>Machine learning of discrete field theories with guaranteed convergence and uncertainty quantification</i>.","bibtex":"@article{Offen, title={Machine learning of discrete field theories with guaranteed convergence and uncertainty quantification}, author={Offen, Christian} }","short":"C. Offen, (n.d.).","mla":"Offen, Christian. <i>Machine Learning of Discrete Field Theories with Guaranteed Convergence and Uncertainty Quantification</i>."},"page":"28","publication_status":"submitted","has_accepted_license":"1","related_material":{"link":[{"url":"https://github.com/Christian-Offen/Lagrangian_GP_PDE","relation":"software","description":"GitHub"}]},"date_updated":"2024-08-12T13:43:32Z","oa":"1","author":[{"id":"85279","full_name":"Offen, Christian","last_name":"Offen","orcid":"0000-0002-5940-8057","first_name":"Christian"}],"status":"public","type":"preprint","file_date_updated":"2024-07-10T13:39:32Z","project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"_id":"55159","user_id":"85279","department":[{"_id":"636"}],"year":"2024","title":"Machine learning of discrete field theories with guaranteed convergence and uncertainty quantification","date_created":"2024-07-10T13:43:50Z","abstract":[{"text":"We introduce a method based on Gaussian process regression to identify discrete variational principles from observed solutions of a field theory. The method is based on the data-based identification of a discrete Lagrangian density. It is a geometric machine learning technique in the sense that the variational structure of the true field theory is reflected in the data-driven model by design. We provide a rigorous convergence statement of the method. The proof circumvents challenges posed by the ambiguity of discrete Lagrangian densities in the inverse problem of variational calculus.\r\nMoreover, our method can be used to quantify model uncertainty in the equations of motions and any linear observable of the discrete field theory. This is illustrated on the example of the discrete wave equation and Schrödinger equation.\r\nThe article constitutes an extension of our previous article  arXiv:2404.19626 for the data-driven identification of (discrete) Lagrangians for variational dynamics from an ode setting to the setting of discrete pdes.","lang":"eng"}],"file":[{"relation":"main_file","content_type":"application/pdf","file_size":4569314,"description":"We introduce a method based on Gaussian process regression to identify discrete\nvariational principles from observed solutions of a field theory. The method is based on the data-based identification of a discrete Lagrangian density. It is a geometric machine learning technique in the sense that the variational structure of the true field theory is reflected in the data-driven model by design.\nWe provide a rigorous convergence statement of the method.\nThe proof circumvents challenges posed by the ambiguity of discrete Lagrangian densities in the inverse problem of variational calculus.\nMoreover, our method can be used to quantify model uncertainty in the equations of motions and any linear observable of the discrete field theory.\nThis is illustrated on the example of the discrete wave equation and Schrödinger equation.\nThe article constitutes an extension of our previous article for the data-driven identification of (discrete) Lagrangians for variational dynamics from an ode setting to the setting of discrete pdes.","title":"Machine learning of discrete field theories with guaranteed convergence and uncertainty quantification","file_id":"55160","access_level":"open_access","file_name":"L_Collocation.pdf","date_updated":"2024-07-10T13:39:32Z","date_created":"2024-07-10T13:39:32Z","creator":"coffen"}],"ddc":["510"],"keyword":["System identification","inverse problem of variational calculus","Gaussian process","Lagrangian learning","physics informed machine learning","geometry aware learning"],"language":[{"iso":"eng"}],"external_id":{"arxiv":["2407.07642"]}},{"issue":"4","publication_status":"published","page":"226-229","intvolume":"       144","citation":{"apa":"Höink, D. (2024). Die “Aktion Rom”. Bemühungen um Idealisierung Bruckners durch Papst Pius XII. <i>Musica sacra</i>, <i>144</i>(4), 226–229.","mla":"Höink, Dominik. “Die ‘Aktion Rom’. Bemühungen um Idealisierung Bruckners durch Papst Pius XII.” <i>Musica sacra</i>, vol. 144, no. 4, 2024, pp. 226–29.","bibtex":"@article{Höink_2024, title={Die “Aktion Rom”. Bemühungen um Idealisierung Bruckners durch Papst Pius XII.}, volume={144}, number={4}, journal={Musica sacra}, author={Höink, Dominik}, year={2024}, pages={226–229} }","short":"D. Höink, Musica sacra 144 (2024) 226–229.","ama":"Höink D. Die “Aktion Rom”. Bemühungen um Idealisierung Bruckners durch Papst Pius XII. <i>Musica sacra</i>. 2024;144(4):226-229.","ieee":"D. Höink, “Die ‘Aktion Rom’. Bemühungen um Idealisierung Bruckners durch Papst Pius XII.,” <i>Musica sacra</i>, vol. 144, no. 4, pp. 226–229, 2024.","chicago":"Höink, Dominik. “Die ‘Aktion Rom’. Bemühungen um Idealisierung Bruckners durch Papst Pius XII.” <i>Musica sacra</i> 144, no. 4 (2024): 226–29."},"year":"2024","volume":144,"date_created":"2024-08-13T11:02:41Z","author":[{"full_name":"Höink, Dominik","id":"90389","last_name":"Höink","first_name":"Dominik"}],"date_updated":"2024-08-13T11:02:52Z","title":"Die \"Aktion Rom\". Bemühungen um Idealisierung Bruckners durch Papst Pius XII.","publication":"Musica sacra","type":"journal_article","status":"public","department":[{"_id":"233"}],"user_id":"90389","_id":"55585","language":[{"iso":"ger"}],"article_type":"original"},{"title":"Fractional variational integrators based on convolution quadrature","main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2403.18362","open_access":"1"}],"date_updated":"2024-08-14T09:14:49Z","oa":"1","author":[{"last_name":"Hariz Belgacem","id":"98857","full_name":"Hariz Belgacem, Khaled","first_name":"Khaled"},{"last_name":"Ober-Blöbaum","full_name":"Ober-Blöbaum, Sina","first_name":"Sina"},{"first_name":"Fernando ","full_name":"Jiménez, Fernando ","last_name":"Jiménez"}],"date_created":"2024-08-14T09:02:04Z","year":"2024","citation":{"ama":"Hariz Belgacem K, Ober-Blöbaum S, Jiménez F. Fractional variational integrators based on convolution quadrature. Published online 2024.","ieee":"K. Hariz Belgacem, S. Ober-Blöbaum, and F. Jiménez, “Fractional variational integrators based on convolution quadrature.” 2024.","chicago":"Hariz Belgacem, Khaled, Sina Ober-Blöbaum, and Fernando  Jiménez. “Fractional Variational Integrators Based on Convolution Quadrature,” 2024.","apa":"Hariz Belgacem, K., Ober-Blöbaum, S., &#38; Jiménez, F. (2024). <i>Fractional variational integrators based on convolution quadrature</i>.","short":"K. Hariz Belgacem, S. Ober-Blöbaum, F. Jiménez, (2024).","bibtex":"@article{Hariz Belgacem_Ober-Blöbaum_Jiménez_2024, title={Fractional variational integrators based on convolution quadrature}, author={Hariz Belgacem, Khaled and Ober-Blöbaum, Sina and Jiménez, Fernando }, year={2024} }","mla":"Hariz Belgacem, Khaled, et al. <i>Fractional Variational Integrators Based on Convolution Quadrature</i>. 2024."},"has_accepted_license":"1","related_material":{"link":[{"url":"https://doi.org/10.48550/arXiv.2403.18362","relation":"confirmation"}]},"ddc":["510"],"language":[{"iso":"eng"}],"file_date_updated":"2024-08-14T09:00:32Z","_id":"55607","user_id":"98857","status":"public","file":[{"success":1,"relation":"main_file","content_type":"application/pdf","file_size":895203,"access_level":"closed","file_id":"55608","file_name":"2403.18362v1.pdf","date_updated":"2024-08-14T09:00:32Z","creator":"hariz","date_created":"2024-08-14T09:00:32Z"}],"type":"preprint"},{"language":[{"iso":"ger"}],"_id":"54817","user_id":"71743","series_title":"Poesis. Supplementa der Zeitschrift Artes. Zeitschrift für Literatur und Künste der Frühmoderne","status":"public","type":"book","title":"Johann Elias Schlegel und das Theater. Zwischen Revision und Reform","publisher":"Brill /Fink","date_updated":"2024-08-15T06:50:45Z","date_created":"2024-06-19T07:51:09Z","author":[{"last_name":"Süwolto","id":"7616","full_name":"Süwolto, Leonie","first_name":"Leonie"},{"full_name":"Puscher, Sahra","id":"29963","last_name":"Puscher","first_name":"Sahra"}],"place":"Paderborn","year":"2024","citation":{"ama":"Süwolto L, Puscher S. <i>Johann Elias Schlegel und das Theater. Zwischen Revision und Reform</i>. Brill /Fink; 2024.","chicago":"Süwolto, Leonie, and Sahra Puscher. <i>Johann Elias Schlegel und das Theater. Zwischen Revision und Reform</i>. Poesis. Supplementa der Zeitschrift Artes. Zeitschrift für Literatur und Künste der Frühmoderne. Paderborn: Brill /Fink, 2024.","ieee":"L. Süwolto and S. Puscher, <i>Johann Elias Schlegel und das Theater. Zwischen Revision und Reform</i>. Paderborn: Brill /Fink, 2024.","apa":"Süwolto, L., &#38; Puscher, S. (2024). <i>Johann Elias Schlegel und das Theater. Zwischen Revision und Reform</i>. Brill /Fink.","mla":"Süwolto, Leonie, and Sahra Puscher. <i>Johann Elias Schlegel und das Theater. Zwischen Revision und Reform</i>. Brill /Fink, 2024.","short":"L. Süwolto, S. Puscher, Johann Elias Schlegel und das Theater. Zwischen Revision und Reform, Brill /Fink, Paderborn, 2024.","bibtex":"@book{Süwolto_Puscher_2024, place={Paderborn}, series={Poesis. Supplementa der Zeitschrift Artes. Zeitschrift für Literatur und Künste der Frühmoderne}, title={Johann Elias Schlegel und das Theater. Zwischen Revision und Reform}, publisher={Brill /Fink}, author={Süwolto, Leonie and Puscher, Sahra}, year={2024}, collection={Poesis. Supplementa der Zeitschrift Artes. Zeitschrift für Literatur und Künste der Frühmoderne} }"}},{"date_updated":"2024-08-16T11:05:12Z","publisher":"Springer Fachmedien Wiesbaden GmbH","author":[{"first_name":"Philipp","full_name":"zur Heiden, Philipp","id":"64394","last_name":"zur Heiden"},{"full_name":"Kaltenpoth, Sascha Benjamin","id":"50640","last_name":"Kaltenpoth","first_name":"Sascha Benjamin"}],"date_created":"2024-05-24T13:36:55Z","title":"Knowledge Management for Service and Maintenance on the Distribution Grid—Conceptualizing an Assistance System based on a Large Language Model Wissensmanagement für Wartung und Instandhaltung im Verteilnetz – Konzeption eines Assistenzsystems basierend auf einem Large Language Model","doi":"10.1365/s40702-024-01074-3","publication_identifier":{"issn":["1436-3011","2198-2775"]},"publication_status":"published","year":"2024","citation":{"ama":"zur Heiden P, Kaltenpoth SB. Knowledge Management for Service and Maintenance on the Distribution Grid—Conceptualizing an Assistance System based on a Large Language Model Wissensmanagement für Wartung und Instandhaltung im Verteilnetz – Konzeption eines Assistenzsystems basierend auf einem Large Language Model. <i>HMD Praxis der Wirtschaftsinformatik</i>. Published online 2024. doi:<a href=\"https://doi.org/10.1365/s40702-024-01074-3\">10.1365/s40702-024-01074-3</a>","ieee":"P. zur Heiden and S. B. Kaltenpoth, “Knowledge Management for Service and Maintenance on the Distribution Grid—Conceptualizing an Assistance System based on a Large Language Model Wissensmanagement für Wartung und Instandhaltung im Verteilnetz – Konzeption eines Assistenzsystems basierend auf einem Large Language Model,” <i>HMD Praxis der Wirtschaftsinformatik</i>, 2024, doi: <a href=\"https://doi.org/10.1365/s40702-024-01074-3\">10.1365/s40702-024-01074-3</a>.","chicago":"Heiden, Philipp zur, and Sascha Benjamin Kaltenpoth. “Knowledge Management for Service and Maintenance on the Distribution Grid—Conceptualizing an Assistance System based on a Large Language Model Wissensmanagement für Wartung und Instandhaltung im Verteilnetz – Konzeption eines Assistenzsystems basierend auf einem Large Language Model.” <i>HMD Praxis der Wirtschaftsinformatik</i>, 2024. <a href=\"https://doi.org/10.1365/s40702-024-01074-3\">https://doi.org/10.1365/s40702-024-01074-3</a>.","mla":"zur Heiden, Philipp, and Sascha Benjamin Kaltenpoth. “Knowledge Management for Service and Maintenance on the Distribution Grid—Conceptualizing an Assistance System based on a Large Language Model Wissensmanagement für Wartung und Instandhaltung im Verteilnetz – Konzeption eines Assistenzsystems basierend auf einem Large Language Model.” <i>HMD Praxis der Wirtschaftsinformatik</i>, Springer Fachmedien Wiesbaden GmbH, 2024, doi:<a href=\"https://doi.org/10.1365/s40702-024-01074-3\">10.1365/s40702-024-01074-3</a>.","short":"P. zur Heiden, S.B. Kaltenpoth, HMD Praxis der Wirtschaftsinformatik (2024).","bibtex":"@article{zur Heiden_Kaltenpoth_2024, title={Knowledge Management for Service and Maintenance on the Distribution Grid—Conceptualizing an Assistance System based on a Large Language Model Wissensmanagement für Wartung und Instandhaltung im Verteilnetz – Konzeption eines Assistenzsystems basierend auf einem Large Language Model}, DOI={<a href=\"https://doi.org/10.1365/s40702-024-01074-3\">10.1365/s40702-024-01074-3</a>}, journal={HMD Praxis der Wirtschaftsinformatik}, publisher={Springer Fachmedien Wiesbaden GmbH}, author={zur Heiden, Philipp and Kaltenpoth, Sascha Benjamin}, year={2024} }","apa":"zur Heiden, P., &#38; Kaltenpoth, S. B. (2024). Knowledge Management for Service and Maintenance on the Distribution Grid—Conceptualizing an Assistance System based on a Large Language Model Wissensmanagement für Wartung und Instandhaltung im Verteilnetz – Konzeption eines Assistenzsystems basierend auf einem Large Language Model. <i>HMD Praxis der Wirtschaftsinformatik</i>. <a href=\"https://doi.org/10.1365/s40702-024-01074-3\">https://doi.org/10.1365/s40702-024-01074-3</a>"},"_id":"54446","user_id":"64394","language":[{"iso":"ger"}],"publication":"HMD Praxis der Wirtschaftsinformatik","type":"journal_article","abstract":[{"text":"<jats:title>Zusammenfassung</jats:title><jats:p>Verteilnetzbetreiber in Deutschland stehen vor großen Herausforderungen bei dem Management ihres unternehmensspezifischen Wissens: Mitarbeiterengpässe durch den demographischen Wandel, Wissen ist nur implizit vorhanden und nicht in Wissensmanagementsystemen digitalisiert, teilweise gibt es gar keine Wissensmanagementsysteme oder Konzepte und das Verteilnetz wird immer komplexer. Verbunden mit zunehmender Belastung von zentralen Komponenten im Verteilnetz durch die Energiewende bedarf es neuer Lösungen, besonders für die wissensintensiven Wartungs- und Instandhaltungsprozesse. Generative Artificial Intelligence als aufstrebende Technologie, insb. durch Large Language Models, zeigt hier erste Erfolge für die Anleitung, Entscheidungsunterstützung und den Wissenstransfer. Aufbauend auf dem Design Science Research Forschungsparadigma wird in diesem Beitrag ein ganzheitlicher Ansatz des Wissensmanagements konzipiert, welcher als zentrale Komponente auf einem Assistenzsystem basiert. Ein Large Language Model generiert Hilfestellungen für Netzmonteure während der Wartung und Instandhaltung auf Basis von Anleitungen. Neben der Konzeption zeigt dieser Beitrag auch die erarbeitete Strategie zur Demonstration und zukünftigen Evaluation der Ergebnisse. Der Beitrag liefert ein für Verteilnetzbetreiber neuartiges Konzept Large Language Model basierter Assistenzsysteme zum Wissensmanagement und zeigt zudem nachgelagerte Schritte auf, die vor einer Markteinführung notwendig sind.</jats:p>","lang":"eng"}],"status":"public"},{"user_id":"64394","_id":"55500","project":[{"grant_number":"03E16090E","name":"AProSys: AProSys -KI-gestützte Assistenz- und Prognosesysteme für den nachhaltigen Einsatz in der intelligenten Verteilnetztechnik","_id":"650","call_identifier":"7. Energieforschungsprogramm, Förderbereich \"Digitalisierung der Energiewende\""}],"language":[{"iso":"eng"}],"publication":"IEEE Access","type":"journal_article","status":"public","author":[{"last_name":"Gitzel","full_name":"Gitzel, Ralf","first_name":"Ralf"},{"last_name":"Hoffmann","full_name":"Hoffmann, Martin","first_name":"Martin"},{"last_name":"zur Heiden","id":"64394","full_name":"zur Heiden, Philipp","first_name":"Philipp"},{"first_name":"Alexander Marcus","last_name":"Skolik","orcid":"0009-0006-2519-1765","full_name":"Skolik, Alexander Marcus","id":"92908"},{"first_name":"Sascha Benjamin","last_name":"Kaltenpoth","full_name":"Kaltenpoth, Sascha Benjamin","id":"50640"},{"last_name":"Müller","full_name":"Müller, Oliver","id":"72849","first_name":"Oliver"},{"first_name":"Cansu","full_name":"Kanak, Cansu","last_name":"Kanak"},{"first_name":"Kajan","last_name":"Kandiah","full_name":"Kandiah, Kajan"},{"full_name":"Stroh, Max-Ferdinand","last_name":"Stroh","first_name":"Max-Ferdinand"},{"first_name":"Wolfgang","last_name":"Boos","full_name":"Boos, Wolfgang"},{"first_name":"Maurizio","full_name":"Zajadatz, Maurizio","last_name":"Zajadatz"},{"full_name":"Suriyah, Michael","last_name":"Suriyah","first_name":"Michael"},{"full_name":"Leibfried, Thomas","last_name":"Leibfried","first_name":"Thomas"},{"first_name":"Dhruv Suresh","last_name":"Singhal","full_name":"Singhal, Dhruv Suresh"},{"full_name":"Bürger, Moritz","last_name":"Bürger","first_name":"Moritz"},{"full_name":"Hunting, Dennis","last_name":"Hunting","first_name":"Dennis"},{"first_name":"Alexander","last_name":"Rehmer","full_name":"Rehmer, Alexander"},{"first_name":"Aydin","full_name":"Boyaci, Aydin","last_name":"Boyaci"}],"date_created":"2024-08-05T05:54:36Z","date_updated":"2024-08-16T11:04:56Z","publisher":"Institute of Electrical and Electronics Engineers (IEEE)","doi":"10.1109/access.2024.3437195","title":"Towards Cognitive Assistance and Prognosis Systems in Power Distribution Grids – Open Issues, Suitable Technologies, and Implementation Concepts","publication_identifier":{"issn":["2169-3536"]},"publication_status":"published","page":"1-1","citation":{"short":"R. Gitzel, M. Hoffmann, P. zur Heiden, A.M. Skolik, S.B. Kaltenpoth, O. Müller, C. Kanak, K. Kandiah, M.-F. Stroh, W. Boos, M. Zajadatz, M. Suriyah, T. Leibfried, D.S. Singhal, M. Bürger, D. Hunting, A. Rehmer, A. Boyaci, IEEE Access (2024) 1–1.","bibtex":"@article{Gitzel_Hoffmann_zur Heiden_Skolik_Kaltenpoth_Müller_Kanak_Kandiah_Stroh_Boos_et al._2024, title={Towards Cognitive Assistance and Prognosis Systems in Power Distribution Grids – Open Issues, Suitable Technologies, and Implementation Concepts}, DOI={<a href=\"https://doi.org/10.1109/access.2024.3437195\">10.1109/access.2024.3437195</a>}, journal={IEEE Access}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Gitzel, Ralf and Hoffmann, Martin and zur Heiden, Philipp and Skolik, Alexander Marcus and Kaltenpoth, Sascha Benjamin and Müller, Oliver and Kanak, Cansu and Kandiah, Kajan and Stroh, Max-Ferdinand and Boos, Wolfgang and et al.}, year={2024}, pages={1–1} }","mla":"Gitzel, Ralf, et al. “Towards Cognitive Assistance and Prognosis Systems in Power Distribution Grids – Open Issues, Suitable Technologies, and Implementation Concepts.” <i>IEEE Access</i>, Institute of Electrical and Electronics Engineers (IEEE), 2024, pp. 1–1, doi:<a href=\"https://doi.org/10.1109/access.2024.3437195\">10.1109/access.2024.3437195</a>.","apa":"Gitzel, R., Hoffmann, M., zur Heiden, P., Skolik, A. M., Kaltenpoth, S. B., Müller, O., Kanak, C., Kandiah, K., Stroh, M.-F., Boos, W., Zajadatz, M., Suriyah, M., Leibfried, T., Singhal, D. S., Bürger, M., Hunting, D., Rehmer, A., &#38; Boyaci, A. (2024). Towards Cognitive Assistance and Prognosis Systems in Power Distribution Grids – Open Issues, Suitable Technologies, and Implementation Concepts. <i>IEEE Access</i>, 1–1. <a href=\"https://doi.org/10.1109/access.2024.3437195\">https://doi.org/10.1109/access.2024.3437195</a>","ieee":"R. Gitzel <i>et al.</i>, “Towards Cognitive Assistance and Prognosis Systems in Power Distribution Grids – Open Issues, Suitable Technologies, and Implementation Concepts,” <i>IEEE Access</i>, pp. 1–1, 2024, doi: <a href=\"https://doi.org/10.1109/access.2024.3437195\">10.1109/access.2024.3437195</a>.","chicago":"Gitzel, Ralf, Martin Hoffmann, Philipp zur Heiden, Alexander Marcus Skolik, Sascha Benjamin Kaltenpoth, Oliver Müller, Cansu Kanak, et al. “Towards Cognitive Assistance and Prognosis Systems in Power Distribution Grids – Open Issues, Suitable Technologies, and Implementation Concepts.” <i>IEEE Access</i>, 2024, 1–1. <a href=\"https://doi.org/10.1109/access.2024.3437195\">https://doi.org/10.1109/access.2024.3437195</a>.","ama":"Gitzel R, Hoffmann M, zur Heiden P, et al. Towards Cognitive Assistance and Prognosis Systems in Power Distribution Grids – Open Issues, Suitable Technologies, and Implementation Concepts. <i>IEEE Access</i>. Published online 2024:1-1. doi:<a href=\"https://doi.org/10.1109/access.2024.3437195\">10.1109/access.2024.3437195</a>"},"year":"2024"},{"user_id":"9310","_id":"48346","alternative_title":["Ergebnisse und Erfahrungen aus dem Projekt digGer"],"language":[{"iso":"ger"}],"type":"journal_article","publication":"Zeitschrift für germanistische Linguistik (ZGL)","status":"public","author":[{"first_name":"Manuel","last_name":"Wille","id":"9310","full_name":"Wille, Manuel"},{"first_name":"Benjamin","last_name":" Bäumer","full_name":" Bäumer, Benjamin"},{"full_name":"Krüger, Stefan","last_name":"Krüger","first_name":"Stefan"},{"last_name":"Machura","full_name":"Machura, Ina Alexandra","first_name":"Ina Alexandra"},{"first_name":"Sonja","full_name":"Sälzer, Sonja","last_name":"Sälzer"},{"full_name":"Schmallenbach, Joline","last_name":"Schmallenbach","first_name":"Joline"},{"first_name":"Sarah","full_name":"Steinsiek, Sarah","last_name":"Steinsiek"}],"date_created":"2023-10-19T12:33:14Z","date_updated":"2024-08-16T10:03:40Z","doi":"https://doi.org/10.1515/zgl-2023-2027","title":"Open Educational Resources für die Germanistische  Linguistik","citation":{"ieee":"M. Wille <i>et al.</i>, “Open Educational Resources für die Germanistische  Linguistik,” <i>Zeitschrift für germanistische Linguistik (ZGL)</i>, 2024, doi: <a href=\"https://doi.org/10.1515/zgl-2023-2027\">https://doi.org/10.1515/zgl-2023-2027</a>.","chicago":"Wille, Manuel, Benjamin  Bäumer, Stefan Krüger, Ina Alexandra Machura, Sonja Sälzer, Joline Schmallenbach, and Sarah Steinsiek. “Open Educational Resources für die Germanistische  Linguistik.” <i>Zeitschrift für germanistische Linguistik (ZGL)</i>, 2024. <a href=\"https://doi.org/10.1515/zgl-2023-2027\">https://doi.org/10.1515/zgl-2023-2027</a>.","ama":"Wille M,  Bäumer B, Krüger S, et al. Open Educational Resources für die Germanistische  Linguistik. <i>Zeitschrift für germanistische Linguistik (ZGL)</i>. Published online 2024. doi:<a href=\"https://doi.org/10.1515/zgl-2023-2027\">https://doi.org/10.1515/zgl-2023-2027</a>","bibtex":"@article{Wille_ Bäumer_Krüger_Machura_Sälzer_Schmallenbach_Steinsiek_2024, title={Open Educational Resources für die Germanistische  Linguistik}, DOI={<a href=\"https://doi.org/10.1515/zgl-2023-2027\">https://doi.org/10.1515/zgl-2023-2027</a>}, journal={Zeitschrift für germanistische Linguistik (ZGL)}, author={Wille, Manuel and  Bäumer, Benjamin and Krüger, Stefan and Machura, Ina Alexandra and Sälzer, Sonja and Schmallenbach, Joline and Steinsiek, Sarah}, year={2024} }","mla":"Wille, Manuel, et al. “Open Educational Resources für die Germanistische  Linguistik.” <i>Zeitschrift für germanistische Linguistik (ZGL)</i>, 2024, doi:<a href=\"https://doi.org/10.1515/zgl-2023-2027\">https://doi.org/10.1515/zgl-2023-2027</a>.","short":"M. Wille, B.  Bäumer, S. Krüger, I.A. Machura, S. Sälzer, J. Schmallenbach, S. Steinsiek, Zeitschrift für germanistische Linguistik (ZGL) (2024).","apa":"Wille, M.,  Bäumer, B., Krüger, S., Machura, I. A., Sälzer, S., Schmallenbach, J., &#38; Steinsiek, S. (2024). Open Educational Resources für die Germanistische  Linguistik. <i>Zeitschrift für germanistische Linguistik (ZGL)</i>. <a href=\"https://doi.org/10.1515/zgl-2023-2027\">https://doi.org/10.1515/zgl-2023-2027</a>"},"year":"2024"},{"user_id":"9310","_id":"48345","language":[{"iso":"ger"}],"type":"book_chapter","publication":"Handbuch Deutsch als Fach- und Fremdsprache","status":"public","editor":[{"first_name":"Michael","full_name":"Szurawitzki, Michael","last_name":"Szurawitzki"},{"last_name":"Wolf-Farré","full_name":"Wolf-Farré, Patrick","first_name":"Patrick"}],"date_created":"2023-10-19T12:27:42Z","author":[{"id":"9310","full_name":"Wille, Manuel","last_name":"Wille","first_name":"Manuel"}],"publisher":"de Gruyter","date_updated":"2024-08-16T10:02:50Z","doi":"https://doi.org/10.1515/9783110690279-035","title":"Populärwissenschaftliche Vermittlungstexte","citation":{"bibtex":"@inbook{Wille_2024, place={Berlin, Boston}, title={Populärwissenschaftliche Vermittlungstexte}, DOI={<a href=\"https://doi.org/10.1515/9783110690279-035\">https://doi.org/10.1515/9783110690279-035</a>}, booktitle={Handbuch Deutsch als Fach- und Fremdsprache}, publisher={de Gruyter}, author={Wille, Manuel}, editor={Szurawitzki, Michael and Wolf-Farré, Patrick}, year={2024} }","short":"M. Wille, in: M. Szurawitzki, P. Wolf-Farré (Eds.), Handbuch Deutsch als Fach- und Fremdsprache, de Gruyter, Berlin, Boston, 2024.","mla":"Wille, Manuel. “Populärwissenschaftliche Vermittlungstexte.” <i>Handbuch Deutsch als Fach- und Fremdsprache</i>, edited by Michael Szurawitzki and Patrick Wolf-Farré, de Gruyter, 2024, doi:<a href=\"https://doi.org/10.1515/9783110690279-035\">https://doi.org/10.1515/9783110690279-035</a>.","apa":"Wille, M. (2024). Populärwissenschaftliche Vermittlungstexte. In M. Szurawitzki &#38; P. Wolf-Farré (Eds.), <i>Handbuch Deutsch als Fach- und Fremdsprache</i>. de Gruyter. <a href=\"https://doi.org/10.1515/9783110690279-035\">https://doi.org/10.1515/9783110690279-035</a>","ama":"Wille M. Populärwissenschaftliche Vermittlungstexte. In: Szurawitzki M, Wolf-Farré P, eds. <i>Handbuch Deutsch als Fach- und Fremdsprache</i>. de Gruyter; 2024. doi:<a href=\"https://doi.org/10.1515/9783110690279-035\">https://doi.org/10.1515/9783110690279-035</a>","chicago":"Wille, Manuel. “Populärwissenschaftliche Vermittlungstexte.” In <i>Handbuch Deutsch als Fach- und Fremdsprache</i>, edited by Michael Szurawitzki and Patrick Wolf-Farré. Berlin, Boston: de Gruyter, 2024. <a href=\"https://doi.org/10.1515/9783110690279-035\">https://doi.org/10.1515/9783110690279-035</a>.","ieee":"M. Wille, “Populärwissenschaftliche Vermittlungstexte,” in <i>Handbuch Deutsch als Fach- und Fremdsprache</i>, M. Szurawitzki and P. Wolf-Farré, Eds. Berlin, Boston: de Gruyter, 2024."},"place":"Berlin, Boston","year":"2024"},{"oa":"1","date_updated":"2024-08-15T07:33:13Z","author":[{"orcid":"0000-0002-4393-268X","last_name":"Claes","full_name":"Claes, Leander","id":"11829","first_name":"Leander"},{"first_name":"Mareen","id":"74624","full_name":"Wippermann, Mareen","last_name":"Wippermann"}],"date_created":"2024-07-17T07:05:23Z","title":"Analysis of guided acoustic waves in periodically structured plates","main_file_link":[{"url":"https://doi.org/10.5281/zenodo.12517188","open_access":"1"}],"year":"2024","place":"Guided Ultrasonic Waves: Emerging Methods (GUWEM) Workshop, Überherrn","citation":{"chicago":"Claes, Leander, and Mareen Wippermann. <i>Analysis of Guided Acoustic Waves in Periodically Structured Plates</i>. Guided Ultrasonic Waves: Emerging Methods (GUWEM) Workshop, Überherrn, 2024.","ieee":"L. Claes and M. Wippermann, <i>Analysis of guided acoustic waves in periodically structured plates</i>. Guided Ultrasonic Waves: Emerging Methods (GUWEM) Workshop, Überherrn, 2024.","ama":"Claes L, Wippermann M. <i>Analysis of Guided Acoustic Waves in Periodically Structured Plates</i>.; 2024.","mla":"Claes, Leander, and Mareen Wippermann. <i>Analysis of Guided Acoustic Waves in Periodically Structured Plates</i>. 2024.","short":"L. Claes, M. Wippermann, Analysis of Guided Acoustic Waves in Periodically Structured Plates, Guided Ultrasonic Waves: Emerging Methods (GUWEM) Workshop, Überherrn, 2024.","bibtex":"@book{Claes_Wippermann_2024, place={Guided Ultrasonic Waves: Emerging Methods (GUWEM) Workshop, Überherrn}, title={Analysis of guided acoustic waves in periodically structured plates}, author={Claes, Leander and Wippermann, Mareen}, year={2024} }","apa":"Claes, L., &#38; Wippermann, M. (2024). <i>Analysis of guided acoustic waves in periodically structured plates</i>."},"project":[{"grant_number":"495847374","name":"FaMOUS: Ein ultraschallbasiertes Messverfahren unter Berücksichtigung viskoelastischer Eigenschaften zur Charakterisierung der Faser-Matrix-Haftung bei Organoblechen sowie deren realitätsnahe Modellierung","_id":"157"}],"_id":"55302","user_id":"11829","department":[{"_id":"49"}],"language":[{"iso":"eng"}],"type":"misc","status":"public"},{"citation":{"ama":"Skolik AM, Löhr B, zur Heiden P, Bartelheimer C. Nutzung von Low- und No-Code-Anwendungen zur Automatisierung von Geschäftsprozessen in regulierten Energiemärkten Utilisation of low- and no-code applications to automate business processes in regulated energy markets. <i>HMD Praxis der Wirtschaftsinformatik</i>. Published online 2024. doi:<a href=\"https://doi.org/10.1365/s40702-024-01101-3\">10.1365/s40702-024-01101-3</a>","chicago":"Skolik, Alexander Marcus, Bernd Löhr, Philipp zur Heiden, and Christian Bartelheimer. “Nutzung von Low- und No-Code-Anwendungen zur Automatisierung von Geschäftsprozessen in regulierten Energiemärkten Utilisation of low- and no-code applications to automate business processes in regulated energy markets.” <i>HMD Praxis der Wirtschaftsinformatik</i>, 2024. <a href=\"https://doi.org/10.1365/s40702-024-01101-3\">https://doi.org/10.1365/s40702-024-01101-3</a>.","ieee":"A. M. Skolik, B. Löhr, P. zur Heiden, and C. Bartelheimer, “Nutzung von Low- und No-Code-Anwendungen zur Automatisierung von Geschäftsprozessen in regulierten Energiemärkten Utilisation of low- and no-code applications to automate business processes in regulated energy markets,” <i>HMD Praxis der Wirtschaftsinformatik</i>, 2024, doi: <a href=\"https://doi.org/10.1365/s40702-024-01101-3\">10.1365/s40702-024-01101-3</a>.","short":"A.M. Skolik, B. Löhr, P. zur Heiden, C. Bartelheimer, HMD Praxis der Wirtschaftsinformatik (2024).","mla":"Skolik, Alexander Marcus, et al. “Nutzung von Low- und No-Code-Anwendungen zur Automatisierung von Geschäftsprozessen in regulierten Energiemärkten Utilisation of low- and no-code applications to automate business processes in regulated energy markets.” <i>HMD Praxis der Wirtschaftsinformatik</i>, Springer Fachmedien Wiesbaden GmbH, 2024, doi:<a href=\"https://doi.org/10.1365/s40702-024-01101-3\">10.1365/s40702-024-01101-3</a>.","bibtex":"@article{Skolik_Löhr_zur Heiden_Bartelheimer_2024, title={Nutzung von Low- und No-Code-Anwendungen zur Automatisierung von Geschäftsprozessen in regulierten Energiemärkten Utilisation of low- and no-code applications to automate business processes in regulated energy markets}, DOI={<a href=\"https://doi.org/10.1365/s40702-024-01101-3\">10.1365/s40702-024-01101-3</a>}, journal={HMD Praxis der Wirtschaftsinformatik}, publisher={Springer Fachmedien Wiesbaden GmbH}, author={Skolik, Alexander Marcus and Löhr, Bernd and zur Heiden, Philipp and Bartelheimer, Christian}, year={2024} }","apa":"Skolik, A. M., Löhr, B., zur Heiden, P., &#38; Bartelheimer, C. (2024). Nutzung von Low- und No-Code-Anwendungen zur Automatisierung von Geschäftsprozessen in regulierten Energiemärkten Utilisation of low- and no-code applications to automate business processes in regulated energy markets. <i>HMD Praxis der Wirtschaftsinformatik</i>. <a href=\"https://doi.org/10.1365/s40702-024-01101-3\">https://doi.org/10.1365/s40702-024-01101-3</a>"},"year":"2024","publication_identifier":{"issn":["1436-3011","2198-2775"]},"publication_status":"published","doi":"10.1365/s40702-024-01101-3","title":"Nutzung von Low- und No-Code-Anwendungen zur Automatisierung von Geschäftsprozessen in regulierten Energiemärkten Utilisation of low- and no-code applications to automate business processes in regulated energy markets","date_created":"2024-08-16T11:05:14Z","author":[{"first_name":"Alexander Marcus","id":"92908","full_name":"Skolik, Alexander Marcus","last_name":"Skolik","orcid":"0009-0006-2519-1765"},{"id":"56760","full_name":"Löhr, Bernd","last_name":"Löhr","first_name":"Bernd"},{"first_name":"Philipp","last_name":"zur Heiden","full_name":"zur Heiden, Philipp","id":"64394"},{"first_name":"Christian","last_name":"Bartelheimer","full_name":"Bartelheimer, Christian","id":"49160"}],"publisher":"Springer Fachmedien Wiesbaden GmbH","date_updated":"2024-08-16T11:06:18Z","status":"public","abstract":[{"lang":"eng","text":"<jats:title>Zusammenfassung</jats:title><jats:p>Die zunehmende Relevanz von Low- und No-Code-Anwendungen in Wissenschaft und Praxis ist darauf zurückzuführen, dass sie Unternehmen die Automatisierung von Prozessen und Aktivitäten trotz begrenzter IT-Kenntnisse ermöglichen. Dies ist von besonderer Bedeutung, da zahlreiche Unternehmen mit Herausforderungen wie dem Fachkräftemangel sowie einer alternden Belegschaft konfrontiert sind. Low- und No-Code-Anwendungen weisen ein beachtliches Potenzial auf, Automatisierungen erfolgreich trotz limitierter Ressourcen umzusetzen. Im Rahmen einer Fallstudie in einem Unternehmen der Energiebranche wurde untersucht, welche Herausforderungen die Implementierung von Low- und No-Code-Anwendungen mit sich bringt und wie diesen begegnet werden kann. Aus den Erkenntnissen wurden vier Erfolgsfaktoren abgeleitet, die für andere Unternehmen als Grundlage dienen können, um die Entwicklung von Low- und No-Code-Automatisierungen erfolgreich umzusetzen. (1) Ein Minimum Viable Product stärkt das Verständnis von LCNC-Plattformen. (2) Die Modularisierung von Entwicklungsaufgaben können zu einer ressourceneffizienteren Entwicklung führen. (3) Nebenprodukte der Entwicklung können fortlaufend Automatisierungsprojekte fördern. (4) Vorzeitige Releases in Livesystemen liefern wertvolle Verbesserungsvorschläge.</jats:p>"}],"publication":"HMD Praxis der Wirtschaftsinformatik","type":"journal_article","language":[{"iso":"ger"}],"user_id":"92908","_id":"55622"},{"language":[{"iso":"eng"}],"_id":"55625","user_id":"48921","abstract":[{"lang":"eng","text":"<jats:title>Abstract</jats:title><jats:p>In an era marked by the widespread use of digital technology, educators face the need to constantly learn and develop their own new literacies for the information era, as well as their competencies to teach and apply best practices using technologies. This paper underscores the vital role of ongoing teacher professional learning (OTPL) with a focus on reflective practices and pedagogical reasoning and action (PR&amp;A) in shaping education quality and equity. Examining three key drivers of educational transformation—big data and learning analytics, Artificial Intelligence (AI), and shifting teacher identities—the paper explores their overall impact on teacher practices. This paper emphasizes technology as a crucial boundary object, a catalyst of educational transformation, when used to foster communication and professional growth. To this end, three boundary objects are identified, namely dashboards, AI-driven professional learning environments, and digital communities of practice. These tools illustrate technology’s capacity to mediate relationships between transformative educational drivers and teacher practices, offering a pathway to navigate shifting perspectives on OTPL. With a theoretical foundation in equitable education, the paper provides insights into the intricate relationship between boundary objects and evolving educational dynamics. It highlights technology's pivotal role in achieving both quality and equitable education in the contemporary educational landscape. It presents a nuanced understanding of how specific tools may contribute to effective OTPL amid rapid educational transformations.</jats:p>"}],"status":"public","type":"journal_article","publication":"Technology, Knowledge and Learning","title":"Drivers of Digital Realities for Ongoing Teacher Professional Learning","doi":"10.1007/s10758-024-09771-0","publisher":"Springer Science and Business Media LLC","date_updated":"2024-08-19T06:33:34Z","author":[{"last_name":"Trevisan","full_name":"Trevisan, O.","first_name":"O."},{"first_name":"R.","last_name":"Christensen","full_name":"Christensen, R."},{"full_name":"Drossel, Kerstin","id":"48921","last_name":"Drossel","first_name":"Kerstin"},{"last_name":"Friesen","full_name":"Friesen, S.","first_name":"S."},{"full_name":"Forkosh-Baruch, A.","last_name":"Forkosh-Baruch","first_name":"A."},{"first_name":"M.","last_name":"Phillips","full_name":"Phillips, M."}],"date_created":"2024-08-19T06:22:17Z","year":"2024","citation":{"apa":"Trevisan, O., Christensen, R., Drossel, K., Friesen, S., Forkosh-Baruch, A., &#38; Phillips, M. (2024). Drivers of Digital Realities for Ongoing Teacher Professional Learning. <i>Technology, Knowledge and Learning</i>. <a href=\"https://doi.org/10.1007/s10758-024-09771-0\">https://doi.org/10.1007/s10758-024-09771-0</a>","mla":"Trevisan, O., et al. “Drivers of Digital Realities for Ongoing Teacher Professional Learning.” <i>Technology, Knowledge and Learning</i>, Springer Science and Business Media LLC, 2024, doi:<a href=\"https://doi.org/10.1007/s10758-024-09771-0\">10.1007/s10758-024-09771-0</a>.","bibtex":"@article{Trevisan_Christensen_Drossel_Friesen_Forkosh-Baruch_Phillips_2024, title={Drivers of Digital Realities for Ongoing Teacher Professional Learning}, DOI={<a href=\"https://doi.org/10.1007/s10758-024-09771-0\">10.1007/s10758-024-09771-0</a>}, journal={Technology, Knowledge and Learning}, publisher={Springer Science and Business Media LLC}, author={Trevisan, O. and Christensen, R. and Drossel, Kerstin and Friesen, S. and Forkosh-Baruch, A. and Phillips, M.}, year={2024} }","short":"O. Trevisan, R. Christensen, K. Drossel, S. Friesen, A. Forkosh-Baruch, M. Phillips, Technology, Knowledge and Learning (2024).","chicago":"Trevisan, O., R. Christensen, Kerstin Drossel, S. Friesen, A. Forkosh-Baruch, and M. Phillips. “Drivers of Digital Realities for Ongoing Teacher Professional Learning.” <i>Technology, Knowledge and Learning</i>, 2024. <a href=\"https://doi.org/10.1007/s10758-024-09771-0\">https://doi.org/10.1007/s10758-024-09771-0</a>.","ieee":"O. Trevisan, R. Christensen, K. Drossel, S. Friesen, A. Forkosh-Baruch, and M. Phillips, “Drivers of Digital Realities for Ongoing Teacher Professional Learning,” <i>Technology, Knowledge and Learning</i>, 2024, doi: <a href=\"https://doi.org/10.1007/s10758-024-09771-0\">10.1007/s10758-024-09771-0</a>.","ama":"Trevisan O, Christensen R, Drossel K, Friesen S, Forkosh-Baruch A, Phillips M. Drivers of Digital Realities for Ongoing Teacher Professional Learning. <i>Technology, Knowledge and Learning</i>. Published online 2024. doi:<a href=\"https://doi.org/10.1007/s10758-024-09771-0\">10.1007/s10758-024-09771-0</a>"},"publication_status":"published","publication_identifier":{"issn":["2211-1662","2211-1670"]}},{"issue":"1","citation":{"apa":"Eremin, O., Langer, A., Mattei, A., &#38; Mahs (Hrsg.), C. (2024). Vorwort: (Un)Eingeschränkt entscheiden. Reproduktionspolitiken und Selbstbestimmung. . <i>GENDER. Zeitschrift Für Geschlecht, Kultur Und Gesellschaft. Schwerpunkt: Reproduktionspolitiken Und Selbstbestimmung</i>, <i>16</i>(1), 7–10.","mla":"Eremin, Oxana, et al. “Vorwort: (Un)Eingeschränkt Entscheiden. Reproduktionspolitiken Und Selbstbestimmung. .” <i>GENDER. Zeitschrift Für Geschlecht, Kultur Und Gesellschaft. Schwerpunkt: Reproduktionspolitiken Und Selbstbestimmung</i>, vol. 16, no. 1, 2024, pp. 7–10.","short":"O. Eremin, A. Langer, A. Mattei, C. Mahs (Hrsg.), GENDER. Zeitschrift Für Geschlecht, Kultur Und Gesellschaft. Schwerpunkt: Reproduktionspolitiken Und Selbstbestimmung 16 (2024) 7–10.","bibtex":"@article{Eremin_Langer_Mattei_Mahs (Hrsg.)_2024, title={Vorwort: (Un)Eingeschränkt entscheiden. Reproduktionspolitiken und Selbstbestimmung. }, volume={16}, number={1}, journal={GENDER. Zeitschrift für Geschlecht, Kultur und Gesellschaft. Schwerpunkt: Reproduktionspolitiken und Selbstbestimmung}, author={Eremin, Oxana and Langer, Antje and Mattei, Annalisa and Mahs (Hrsg.), Claudia}, year={2024}, pages={7–10} }","ieee":"O. Eremin, A. Langer, A. Mattei, and C. Mahs (Hrsg.), “Vorwort: (Un)Eingeschränkt entscheiden. Reproduktionspolitiken und Selbstbestimmung. ,” <i>GENDER. Zeitschrift für Geschlecht, Kultur und Gesellschaft. Schwerpunkt: Reproduktionspolitiken und Selbstbestimmung</i>, vol. 16, no. 1, pp. 7–10, 2024.","chicago":"Eremin, Oxana, Antje Langer, Annalisa Mattei, and Claudia Mahs (Hrsg.). “Vorwort: (Un)Eingeschränkt Entscheiden. Reproduktionspolitiken Und Selbstbestimmung. .” <i>GENDER. Zeitschrift Für Geschlecht, Kultur Und Gesellschaft. Schwerpunkt: Reproduktionspolitiken Und Selbstbestimmung</i> 16, no. 1 (2024): 7–10.","ama":"Eremin O, Langer A, Mattei A, Mahs (Hrsg.) C. Vorwort: (Un)Eingeschränkt entscheiden. Reproduktionspolitiken und Selbstbestimmung. . <i>GENDER Zeitschrift für Geschlecht, Kultur und Gesellschaft Schwerpunkt: Reproduktionspolitiken und Selbstbestimmung</i>. 2024;16(1):7-10."},"intvolume":"        16","page":"7-10","year":"2024","date_created":"2024-08-18T17:54:23Z","author":[{"last_name":"Eremin","full_name":"Eremin, Oxana","id":"27914","first_name":"Oxana"},{"last_name":"Langer","full_name":"Langer, Antje","first_name":"Antje"},{"full_name":"Mattei, Annalisa","last_name":"Mattei","first_name":"Annalisa"},{"first_name":"Claudia","last_name":"Mahs (Hrsg.)","full_name":"Mahs (Hrsg.), Claudia"}],"volume":16,"date_updated":"2024-08-18T18:00:14Z","title":"Vorwort: (Un)Eingeschränkt entscheiden. Reproduktionspolitiken und Selbstbestimmung. 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