[{"citation":{"apa":"Fuhrmann, A., Schoch, R., Rusam, A., Bosse, M., Flachmann, F., Moritzer, E., Hochrein, T., &#38; Bastian, M. (2022). <i>Verbessertes Füllverhalten im Spritzgießprozess durch Schäumen von WPC: Bewertung des Fließverhaltens treibmittelbeladener Polymerschmelzen</i>. Shaker.","mla":"Fuhrmann, Anika, et al. <i>Verbessertes Füllverhalten Im Spritzgießprozess Durch Schäumen von WPC: Bewertung Des Fließverhaltens Treibmittelbeladener Polymerschmelzen</i>. Shaker, 2022.","ieee":"A. Fuhrmann <i>et al.</i>, <i>Verbessertes Füllverhalten im Spritzgießprozess durch Schäumen von WPC: Bewertung des Fließverhaltens treibmittelbeladener Polymerschmelzen</i>. Shaker, 2022.","ama":"Fuhrmann A, Schoch R, Rusam A, et al. <i>Verbessertes Füllverhalten Im Spritzgießprozess Durch Schäumen von WPC: Bewertung Des Fließverhaltens Treibmittelbeladener Polymerschmelzen</i>. Shaker; 2022.","short":"A. Fuhrmann, R. Schoch, A. Rusam, M. Bosse, F. Flachmann, E. Moritzer, T. Hochrein, M. Bastian, Verbessertes Füllverhalten Im Spritzgießprozess Durch Schäumen von WPC: Bewertung Des Fließverhaltens Treibmittelbeladener Polymerschmelzen, Shaker, 2022.","chicago":"Fuhrmann, Anika, Rebecca  Schoch, Alexander Rusam, Michael Bosse, Felix Flachmann, Elmar Moritzer, Thomas Hochrein, and Martin Bastian. <i>Verbessertes Füllverhalten Im Spritzgießprozess Durch Schäumen von WPC: Bewertung Des Fließverhaltens Treibmittelbeladener Polymerschmelzen</i>. Shaker, 2022.","bibtex":"@book{Fuhrmann_Schoch_Rusam_Bosse_Flachmann_Moritzer_Hochrein_Bastian_2022, title={Verbessertes Füllverhalten im Spritzgießprozess durch Schäumen von WPC: Bewertung des Fließverhaltens treibmittelbeladener Polymerschmelzen}, publisher={Shaker}, author={Fuhrmann, Anika and Schoch, Rebecca  and Rusam, Alexander and Bosse, Michael and Flachmann, Felix and Moritzer, Elmar and Hochrein, Thomas and Bastian, Martin}, year={2022} }"},"department":[{"_id":"321"},{"_id":"9"},{"_id":"367"},{"_id":"147"}],"type":"report","date_created":"2022-08-22T11:51:59Z","date_updated":"2022-08-24T07:16:33Z","publication_identifier":{"unknown":["9783844086676 "]},"author":[{"full_name":"Fuhrmann, Anika","first_name":"Anika","last_name":"Fuhrmann"},{"full_name":"Schoch, Rebecca ","first_name":"Rebecca ","last_name":"Schoch"},{"first_name":"Alexander","last_name":"Rusam","full_name":"Rusam, Alexander"},{"first_name":"Michael","last_name":"Bosse","full_name":"Bosse, Michael"},{"full_name":"Flachmann, Felix","first_name":"Felix","last_name":"Flachmann","orcid":"0000-0002-7651-7028","id":"38212"},{"first_name":"Elmar","last_name":"Moritzer","full_name":"Moritzer, Elmar","id":"20531"},{"full_name":"Hochrein, Thomas","first_name":"Thomas","last_name":"Hochrein"},{"full_name":"Bastian, Martin","last_name":"Bastian","first_name":"Martin"}],"title":"Verbessertes Füllverhalten im Spritzgießprozess durch Schäumen von WPC: Bewertung des Fließverhaltens treibmittelbeladener Polymerschmelzen","status":"public","year":"2022","user_id":"38212","publisher":"Shaker","_id":"33070","language":[{"iso":"eng"}]},{"citation":{"chicago":"Gevers, Karina, Alexander Tornede, Marcel Dominik Wever, Volker Schöppner, and Eyke Hüllermeier. “A Comparison of Heuristic, Statistical, and Machine Learning Methods for Heated Tool Butt Welding of Two Different Materials.” <i>Welding in the World</i>, 2022. <a href=\"https://doi.org/10.1007/s40194-022-01339-9\">https://doi.org/10.1007/s40194-022-01339-9</a>.","short":"K. Gevers, A. Tornede, M.D. Wever, V. Schöppner, E. Hüllermeier, Welding in the World (2022).","ieee":"K. Gevers, A. Tornede, M. D. Wever, V. Schöppner, and E. Hüllermeier, “A comparison of heuristic, statistical, and machine learning methods for heated tool butt welding of two different materials,” <i>Welding in the World</i>, 2022, doi: <a href=\"https://doi.org/10.1007/s40194-022-01339-9\">10.1007/s40194-022-01339-9</a>.","apa":"Gevers, K., Tornede, A., Wever, M. D., Schöppner, V., &#38; Hüllermeier, E. (2022). A comparison of heuristic, statistical, and machine learning methods for heated tool butt welding of two different materials. <i>Welding in the World</i>. <a href=\"https://doi.org/10.1007/s40194-022-01339-9\">https://doi.org/10.1007/s40194-022-01339-9</a>","bibtex":"@article{Gevers_Tornede_Wever_Schöppner_Hüllermeier_2022, title={A comparison of heuristic, statistical, and machine learning methods for heated tool butt welding of two different materials}, DOI={<a href=\"https://doi.org/10.1007/s40194-022-01339-9\">10.1007/s40194-022-01339-9</a>}, journal={Welding in the World}, publisher={Springer Science and Business Media LLC}, author={Gevers, Karina and Tornede, Alexander and Wever, Marcel Dominik and Schöppner, Volker and Hüllermeier, Eyke}, year={2022} }","ama":"Gevers K, Tornede A, Wever MD, Schöppner V, Hüllermeier E. A comparison of heuristic, statistical, and machine learning methods for heated tool butt welding of two different materials. <i>Welding in the World</i>. Published online 2022. doi:<a href=\"https://doi.org/10.1007/s40194-022-01339-9\">10.1007/s40194-022-01339-9</a>","mla":"Gevers, Karina, et al. “A Comparison of Heuristic, Statistical, and Machine Learning Methods for Heated Tool Butt Welding of Two Different Materials.” <i>Welding in the World</i>, Springer Science and Business Media LLC, 2022, doi:<a href=\"https://doi.org/10.1007/s40194-022-01339-9\">10.1007/s40194-022-01339-9</a>."},"publication":"Welding in the World","project":[{"_id":"1","name":"SFB 901: SFB 901"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"},{"_id":"10","name":"SFB 901 - B2: SFB 901 - Subproject B2"}],"abstract":[{"text":"<jats:title>Abstract</jats:title><jats:p>Heated tool butt welding is a method often used for joining thermoplastics, especially when the components are made out of different materials. The quality of the connection between the components crucially depends on a suitable choice of the parameters of the welding process, such as heating time, temperature, and the precise way how the parts are then welded. Moreover, when different materials are to be joined, the parameter values need to be tailored to the specifics of the respective material. To this end, in this paper, three approaches to tailor the parameter values to optimize the quality of the connection are compared: a heuristic by Potente, statistical experimental design, and Bayesian optimization. With the suitability for practice in mind, a series of experiments are carried out with these approaches, and their capabilities of proposing well-performing parameter values are investigated. As a result, Bayesian optimization is found to yield peak performance, but the costs for optimization are substantial. In contrast, the Potente heuristic does not require any experimentation and recommends parameter values with competitive quality.</jats:p>","lang":"eng"}],"date_created":"2022-08-24T12:51:07Z","keyword":["Metals and Alloys","Mechanical Engineering","Mechanics of Materials"],"type":"journal_article","author":[{"id":"83151","last_name":"Gevers","first_name":"Karina","full_name":"Gevers, Karina"},{"id":"38209","full_name":"Tornede, Alexander","last_name":"Tornede","first_name":"Alexander"},{"id":"33176","full_name":"Wever, Marcel Dominik","last_name":"Wever","orcid":" https://orcid.org/0000-0001-9782-6818","first_name":"Marcel Dominik"},{"last_name":"Schöppner","first_name":"Volker","full_name":"Schöppner, Volker","id":"20530"},{"id":"48129","first_name":"Eyke","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke"}],"publication_identifier":{"issn":["0043-2288","1878-6669"]},"title":"A comparison of heuristic, statistical, and machine learning methods for heated tool butt welding of two different materials","year":"2022","status":"public","publication_status":"published","date_updated":"2022-08-24T12:52:06Z","_id":"33090","publisher":"Springer Science and Business Media LLC","language":[{"iso":"eng"}],"user_id":"38209","doi":"10.1007/s40194-022-01339-9"},{"author":[{"last_name":"Berkemeier","first_name":"Manuel Bastian","full_name":"Berkemeier, Manuel Bastian","id":"51701"},{"id":"47427","full_name":"Peitz, Sebastian","first_name":"Sebastian","last_name":"Peitz","orcid":"0000-0002-3389-793X"}],"title":"Multi-Objective Trust-Region Filter Method for Nonlinear Constraints using Inexact Gradients","status":"public","year":"2022","date_updated":"2022-08-26T06:12:10Z","language":[{"iso":"eng"}],"_id":"33150","main_file_link":[{"open_access":"1","url":"https://arxiv.org/pdf/2208.12094"}],"user_id":"47427","citation":{"mla":"Berkemeier, Manuel Bastian, and Sebastian Peitz. “Multi-Objective Trust-Region Filter Method for Nonlinear Constraints Using Inexact Gradients.” <i>ArXiv:2208.12094</i>, 2022.","bibtex":"@article{Berkemeier_Peitz_2022, title={Multi-Objective Trust-Region Filter Method for Nonlinear Constraints using Inexact Gradients}, journal={arXiv:2208.12094}, author={Berkemeier, Manuel Bastian and Peitz, Sebastian}, year={2022} }","ama":"Berkemeier MB, Peitz S. Multi-Objective Trust-Region Filter Method for Nonlinear Constraints using Inexact Gradients. <i>arXiv:220812094</i>. Published online 2022.","ieee":"M. B. Berkemeier and S. Peitz, “Multi-Objective Trust-Region Filter Method for Nonlinear Constraints using Inexact Gradients,” <i>arXiv:2208.12094</i>. 2022.","apa":"Berkemeier, M. B., &#38; Peitz, S. (2022). Multi-Objective Trust-Region Filter Method for Nonlinear Constraints using Inexact Gradients. In <i>arXiv:2208.12094</i>.","short":"M.B. Berkemeier, S. Peitz, ArXiv:2208.12094 (2022).","chicago":"Berkemeier, Manuel Bastian, and Sebastian Peitz. “Multi-Objective Trust-Region Filter Method for Nonlinear Constraints Using Inexact Gradients.” <i>ArXiv:2208.12094</i>, 2022."},"publication":"arXiv:2208.12094","abstract":[{"lang":"eng","text":"In this article, we build on previous work to present an optimization algorithm for nonlinearly constrained multi-objective optimization problems. The algorithm combines a surrogate-assisted derivative-free trust-region approach with the filter method known from single-objective optimization. Instead of the true objective and constraint functions, so-called fully linear models are employed and we show how to deal with the gradient inexactness in the composite step setting, adapted from single-objective optimization as well. Under standard assumptions, we prove convergence of a subset of iterates to a quasi-stationary point and if constraint qualifications hold, then the limit point is also a KKT-point of the multi-objective problem."}],"date_created":"2022-08-26T06:08:06Z","external_id":{"arxiv":["2208.12094"]},"oa":"1","department":[{"_id":"101"},{"_id":"655"}],"type":"preprint"},{"doi":"10.1007/s11149-022-09452-9","user_id":"14931","publisher":"Springer Science and Business Media LLC","_id":"33221","language":[{"iso":"eng"}],"date_updated":"2022-08-29T08:38:12Z","publication_status":"published","title":"Differences in NPI strategies against COVID-19","status":"public","year":"2022","publication_identifier":{"issn":["0922-680X","1573-0468"]},"author":[{"id":"135","last_name":"Redlin","first_name":"Margarete","full_name":"Redlin, Margarete"}],"keyword":["Economics and Econometrics"],"type":"journal_article","department":[{"_id":"475"},{"_id":"200"},{"_id":"202"}],"date_created":"2022-08-29T06:49:33Z","abstract":[{"lang":"eng","text":"<jats:title>Abstract</jats:title><jats:p>Non-pharmaceutical interventions are an effective strategy to prevent and control COVID-19 transmission in the community. However, the timing and stringency to which these measures have been implemented varied between countries and regions. The differences in stringency can only to a limited extent be explained by the number of infections and the prevailing vaccination strategies. Our study aims to shed more light on the lockdown strategies and to identify the determinants underlying the differences between countries on regional, economic, institutional, and political level. Based on daily panel data for 173 countries and the period from January 2020 to October 2021 we find significant regional differences in lockdown strategies. Further, more prosperous countries implemented milder restrictions but responded more quickly, while poorer countries introduced more stringent measures but had a longer response time. Finally, democratic regimes and stronger manifested institutions alleviated and slowed down the introduction of lockdown measures.</jats:p>"}],"publication":"Journal of Regulatory Economics","citation":{"mla":"Redlin, Margarete. “Differences in NPI Strategies against COVID-19.” <i>Journal of Regulatory Economics</i>, Springer Science and Business Media LLC, 2022, doi:<a href=\"https://doi.org/10.1007/s11149-022-09452-9\">10.1007/s11149-022-09452-9</a>.","ama":"Redlin M. Differences in NPI strategies against COVID-19. <i>Journal of Regulatory Economics</i>. Published online 2022. doi:<a href=\"https://doi.org/10.1007/s11149-022-09452-9\">10.1007/s11149-022-09452-9</a>","bibtex":"@article{Redlin_2022, title={Differences in NPI strategies against COVID-19}, DOI={<a href=\"https://doi.org/10.1007/s11149-022-09452-9\">10.1007/s11149-022-09452-9</a>}, journal={Journal of Regulatory Economics}, publisher={Springer Science and Business Media LLC}, author={Redlin, Margarete}, year={2022} }","apa":"Redlin, M. (2022). Differences in NPI strategies against COVID-19. <i>Journal of Regulatory Economics</i>. <a href=\"https://doi.org/10.1007/s11149-022-09452-9\">https://doi.org/10.1007/s11149-022-09452-9</a>","ieee":"M. Redlin, “Differences in NPI strategies against COVID-19,” <i>Journal of Regulatory Economics</i>, 2022, doi: <a href=\"https://doi.org/10.1007/s11149-022-09452-9\">10.1007/s11149-022-09452-9</a>.","chicago":"Redlin, Margarete. “Differences in NPI Strategies against COVID-19.” <i>Journal of Regulatory Economics</i>, 2022. <a href=\"https://doi.org/10.1007/s11149-022-09452-9\">https://doi.org/10.1007/s11149-022-09452-9</a>.","short":"M. Redlin, Journal of Regulatory Economics (2022)."}},{"citation":{"bibtex":"@article{Gries_Naudé_2022, title={Modelling artificial intelligence in economics}, volume={56}, DOI={<a href=\"https://doi.org/10.1186/s12651-022-00319-2\">10.1186/s12651-022-00319-2</a>}, number={112}, journal={Journal for Labour Market Research}, publisher={Springer Science and Business Media LLC}, author={Gries, Thomas and Naudé, Wim}, year={2022} }","ama":"Gries T, Naudé W. Modelling artificial intelligence in economics. <i>Journal for Labour Market Research</i>. 2022;56(1). doi:<a href=\"https://doi.org/10.1186/s12651-022-00319-2\">10.1186/s12651-022-00319-2</a>","mla":"Gries, Thomas, and Wim Naudé. “Modelling Artificial Intelligence in Economics.” <i>Journal for Labour Market Research</i>, vol. 56, no. 1, 12, Springer Science and Business Media LLC, 2022, doi:<a href=\"https://doi.org/10.1186/s12651-022-00319-2\">10.1186/s12651-022-00319-2</a>.","chicago":"Gries, Thomas, and Wim Naudé. “Modelling Artificial Intelligence in Economics.” <i>Journal for Labour Market Research</i> 56, no. 1 (2022). <a href=\"https://doi.org/10.1186/s12651-022-00319-2\">https://doi.org/10.1186/s12651-022-00319-2</a>.","short":"T. Gries, W. Naudé, Journal for Labour Market Research 56 (2022).","ieee":"T. Gries and W. Naudé, “Modelling artificial intelligence in economics,” <i>Journal for Labour Market Research</i>, vol. 56, no. 1, Art. no. 12, 2022, doi: <a href=\"https://doi.org/10.1186/s12651-022-00319-2\">10.1186/s12651-022-00319-2</a>.","apa":"Gries, T., &#38; Naudé, W. (2022). Modelling artificial intelligence in economics. <i>Journal for Labour Market Research</i>, <i>56</i>(1), Article 12. <a href=\"https://doi.org/10.1186/s12651-022-00319-2\">https://doi.org/10.1186/s12651-022-00319-2</a>"},"user_id":"135","volume":56,"_id":"33220","publisher":"Springer Science and Business Media LLC","status":"public","keyword":["General Medicine"],"type":"journal_article","department":[{"_id":"475"},{"_id":"200"},{"_id":"202"}],"date_created":"2022-08-29T06:43:37Z","abstract":[{"lang":"eng","text":"<jats:title>Abstract</jats:title><jats:p>We provide a partial equilibrium model wherein AI provides abilities combined with human skills to provide an aggregate intermediate service good. We use the model to find that the extent of automation through AI will be greater if (a) the economy is relatively abundant in sophisticated programs and machine abilities compared to human skills; (b) the economy hosts a relatively large number of AI-providing firms and experts; and (c) the task-specific productivity of AI services is relatively high compared to the task-specific productivity of general labor and labor skills. We also illustrate that the contribution of AI to aggregate productive labor service depends not only on the amount of AI services available but on the endogenous number of automated tasks, the relative productivity of standard and IT-related labor, and the substitutability of tasks. These determinants also affect the income distribution between the two kinds of labor. We derive several empirical implications and identify possible future extensions.</jats:p>"}],"publication":"Journal for Labour Market Research","issue":"1","doi":"10.1186/s12651-022-00319-2","article_number":"12","language":[{"iso":"eng"}],"date_updated":"2022-08-30T07:37:57Z","publication_status":"published","intvolume":"        56","year":"2022","title":"Modelling artificial intelligence in economics","publication_identifier":{"issn":["2510-5019","2510-5027"]},"author":[{"last_name":"Gries","first_name":"Thomas","full_name":"Gries, Thomas","id":"186"},{"first_name":"Wim","last_name":"Naudé","full_name":"Naudé, Wim"}]},{"language":[{"iso":"eng"}],"series_title":"LIPIcs","doi":"10.4230/LIPIcs.SAND.2022.12","title":"Local Mutual Exclusion for Dynamic, Anonymous, Bounded Memory Message Passing Systems","year":"2022","author":[{"full_name":"Daymude, Joshua J.","last_name":"Daymude","first_name":"Joshua J."},{"full_name":"Richa, Andréa W.","last_name":"Richa","first_name":"Andréa W."},{"full_name":"Scheideler, Christian","last_name":"Scheideler","first_name":"Christian","id":"20792"}],"date_updated":"2022-08-30T06:33:44Z","intvolume":"       221","date_created":"2022-08-30T06:31:21Z","type":"conference","department":[{"_id":"79"}],"publication":"1st Symposium on Algorithmic Foundations of Dynamic Networks, SAND 2022, March 28-30, 2022, Virtual Conference","page":"12:1–12:19","_id":"33230","publisher":"Schloss Dagstuhl - Leibniz-Zentrum für Informatik","user_id":"15504","editor":[{"full_name":"Aspnes, James","first_name":"James","last_name":"Aspnes"},{"first_name":"Othon","last_name":"Michail","full_name":"Michail, Othon"}],"volume":221,"status":"public","citation":{"apa":"Daymude, J. J., Richa, A. W., &#38; Scheideler, C. (2022). Local Mutual Exclusion for Dynamic, Anonymous, Bounded Memory Message Passing Systems. In J. Aspnes &#38; O. Michail (Eds.), <i>1st Symposium on Algorithmic Foundations of Dynamic Networks, SAND 2022, March 28-30, 2022, Virtual Conference</i> (Vol. 221, p. 12:1–12:19). Schloss Dagstuhl - Leibniz-Zentrum für Informatik. <a href=\"https://doi.org/10.4230/LIPIcs.SAND.2022.12\">https://doi.org/10.4230/LIPIcs.SAND.2022.12</a>","ieee":"J. J. Daymude, A. W. Richa, and C. Scheideler, “Local Mutual Exclusion for Dynamic, Anonymous, Bounded Memory Message Passing Systems,” in <i>1st Symposium on Algorithmic Foundations of Dynamic Networks, SAND 2022, March 28-30, 2022, Virtual Conference</i>, 2022, vol. 221, p. 12:1–12:19, doi: <a href=\"https://doi.org/10.4230/LIPIcs.SAND.2022.12\">10.4230/LIPIcs.SAND.2022.12</a>.","chicago":"Daymude, Joshua J., Andréa W. Richa, and Christian Scheideler. “Local Mutual Exclusion for Dynamic, Anonymous, Bounded Memory Message Passing Systems.” In <i>1st Symposium on Algorithmic Foundations of Dynamic Networks, SAND 2022, March 28-30, 2022, Virtual Conference</i>, edited by James Aspnes and Othon Michail, 221:12:1–12:19. LIPIcs. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022. <a href=\"https://doi.org/10.4230/LIPIcs.SAND.2022.12\">https://doi.org/10.4230/LIPIcs.SAND.2022.12</a>.","short":"J.J. Daymude, A.W. Richa, C. Scheideler, in: J. Aspnes, O. Michail (Eds.), 1st Symposium on Algorithmic Foundations of Dynamic Networks, SAND 2022, March 28-30, 2022, Virtual Conference, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022, p. 12:1–12:19.","mla":"Daymude, Joshua J., et al. “Local Mutual Exclusion for Dynamic, Anonymous, Bounded Memory Message Passing Systems.” <i>1st Symposium on Algorithmic Foundations of Dynamic Networks, SAND 2022, March 28-30, 2022, Virtual Conference</i>, edited by James Aspnes and Othon Michail, vol. 221, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022, p. 12:1–12:19, doi:<a href=\"https://doi.org/10.4230/LIPIcs.SAND.2022.12\">10.4230/LIPIcs.SAND.2022.12</a>.","ama":"Daymude JJ, Richa AW, Scheideler C. Local Mutual Exclusion for Dynamic, Anonymous, Bounded Memory Message Passing Systems. In: Aspnes J, Michail O, eds. <i>1st Symposium on Algorithmic Foundations of Dynamic Networks, SAND 2022, March 28-30, 2022, Virtual Conference</i>. Vol 221. LIPIcs. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2022:12:1–12:19. doi:<a href=\"https://doi.org/10.4230/LIPIcs.SAND.2022.12\">10.4230/LIPIcs.SAND.2022.12</a>","bibtex":"@inproceedings{Daymude_Richa_Scheideler_2022, series={LIPIcs}, title={Local Mutual Exclusion for Dynamic, Anonymous, Bounded Memory Message Passing Systems}, volume={221}, DOI={<a href=\"https://doi.org/10.4230/LIPIcs.SAND.2022.12\">10.4230/LIPIcs.SAND.2022.12</a>}, booktitle={1st Symposium on Algorithmic Foundations of Dynamic Networks, SAND 2022, March 28-30, 2022, Virtual Conference}, publisher={Schloss Dagstuhl - Leibniz-Zentrum für Informatik}, author={Daymude, Joshua J. and Richa, Andréa W. and Scheideler, Christian}, editor={Aspnes, James and Michail, Othon}, year={2022}, pages={12:1–12:19}, collection={LIPIcs} }"},"project":[{"name":"SFB 901: SFB 901","_id":"1"},{"name":"SFB 901 - A: SFB 901 - Project Area A","_id":"2"},{"name":"SFB 901 - A1: SFB 901 - Subproject A1","_id":"5"}]},{"status":"public","publisher":"Informa UK Limited","_id":"33219","page":"65-83","volume":33,"user_id":"135","citation":{"apa":"Gries, T., Müller, V., &#38; Jost, J. T. (2022). The Market for Belief Systems: A Formal Model of Ideological Choice. <i>Psychological Inquiry</i>, <i>33</i>(2), 65–83. <a href=\"https://doi.org/10.1080/1047840x.2022.2065128\">https://doi.org/10.1080/1047840x.2022.2065128</a>","ieee":"T. Gries, V. Müller, and J. T. Jost, “The Market for Belief Systems: A Formal Model of Ideological Choice,” <i>Psychological Inquiry</i>, vol. 33, no. 2, pp. 65–83, 2022, doi: <a href=\"https://doi.org/10.1080/1047840x.2022.2065128\">10.1080/1047840x.2022.2065128</a>.","short":"T. Gries, V. Müller, J.T. Jost, Psychological Inquiry 33 (2022) 65–83.","chicago":"Gries, Thomas, Veronika Müller, and John T. Jost. “The Market for Belief Systems: A Formal Model of Ideological Choice.” <i>Psychological Inquiry</i> 33, no. 2 (2022): 65–83. <a href=\"https://doi.org/10.1080/1047840x.2022.2065128\">https://doi.org/10.1080/1047840x.2022.2065128</a>.","mla":"Gries, Thomas, et al. “The Market for Belief Systems: A Formal Model of Ideological Choice.” <i>Psychological Inquiry</i>, vol. 33, no. 2, Informa UK Limited, 2022, pp. 65–83, doi:<a href=\"https://doi.org/10.1080/1047840x.2022.2065128\">10.1080/1047840x.2022.2065128</a>.","ama":"Gries T, Müller V, Jost JT. 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Endres-Fröhlich, Essays on Industrial Organization and Networks: Retail Bundling, Exclusive Dealing, and Network Disruption, 2022.","ama":"Endres-Fröhlich AE. <i>Essays on Industrial Organization and Networks: Retail Bundling, Exclusive Dealing, and Network Disruption</i>.; 2022. doi:<a href=\"https://doi.org/10.17619/UNIPB/1-1581\">10.17619/UNIPB/1-1581</a>","chicago":"Endres-Fröhlich, Angelika Elfriede. <i>Essays on Industrial Organization and Networks: Retail Bundling, Exclusive Dealing, and Network Disruption</i>, 2022. <a href=\"https://doi.org/10.17619/UNIPB/1-1581\">https://doi.org/10.17619/UNIPB/1-1581</a>."},"project":[{"name":"SFB 901: SFB 901","_id":"1"},{"_id":"2","name":"SFB 901 - A: SFB 901 - Project Area A"},{"_id":"7","name":"SFB 901 - A3: SFB 901 - Subproject A3"}]},{"citation":{"ieee":"M. Goller, E. Kyndt, S. Paloniemi, and C. Damşa, Eds., <i>Methods for Researching Professional Learning and Development</i>. Cham: Springer International Publishing, 2022.","mla":"Goller, Michael, et al., editors. <i>Methods for Researching Professional Learning and Development</i>. Springer International Publishing, 2022, doi:<a href=\"https://doi.org/10.1007/978-3-031-08518-5\">10.1007/978-3-031-08518-5</a>.","apa":"Goller, M., Kyndt, E., Paloniemi, S., &#38; Damşa, C. (Eds.). (2022). <i>Methods for Researching Professional Learning and Development</i>. Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-031-08518-5\">https://doi.org/10.1007/978-3-031-08518-5</a>","bibtex":"@book{Goller_Kyndt_Paloniemi_Damşa_2022, place={Cham}, title={Methods for Researching Professional Learning and Development}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-08518-5\">10.1007/978-3-031-08518-5</a>}, publisher={Springer International Publishing}, year={2022} }","chicago":"Goller, Michael, Eva Kyndt, Susanna Paloniemi, and Crina Damşa, eds. <i>Methods for Researching Professional Learning and Development</i>. Cham: Springer International Publishing, 2022. <a href=\"https://doi.org/10.1007/978-3-031-08518-5\">https://doi.org/10.1007/978-3-031-08518-5</a>.","short":"M. Goller, E. Kyndt, S. Paloniemi, C. Damşa, eds., Methods for Researching Professional Learning and Development, Springer International Publishing, Cham, 2022.","ama":"Goller M, Kyndt E, Paloniemi S, Damşa C, eds. <i>Methods for Researching Professional Learning and Development</i>. Springer International Publishing; 2022. doi:<a href=\"https://doi.org/10.1007/978-3-031-08518-5\">10.1007/978-3-031-08518-5</a>"},"department":[{"_id":"452"}],"type":"book_editor","place":"Cham","date_created":"2022-09-06T16:03:38Z","date_updated":"2022-09-06T16:03:53Z","publication_status":"published","publication_identifier":{"issn":["2210-5549","2210-5557"],"isbn":["9783031085178","9783031085185"]},"title":"Methods for Researching Professional Learning and Development","year":"2022","status":"public","alternative_title":["Challenges, Applications and Empirical Illustrations"],"editor":[{"last_name":"Goller","orcid":"0000-0002-2820-9178","first_name":"Michael","full_name":"Goller, Michael","id":"30984"},{"full_name":"Kyndt, Eva","last_name":"Kyndt","first_name":"Eva"},{"full_name":"Paloniemi, Susanna","last_name":"Paloniemi","first_name":"Susanna"},{"first_name":"Crina","last_name":"Damşa","full_name":"Damşa, Crina"}],"doi":"10.1007/978-3-031-08518-5","user_id":"50788","language":[{"iso":"eng"}],"_id":"33275","publisher":"Springer International Publishing"},{"abstract":[{"lang":"eng","text":"Decision support systems are crucial in helping decision makers to quickly identify optimal business decisions in increasingly volatile and complex business environments. However, the ideal DSS for one decision maker may not optimally address the requirements for decision support of another decision maker. This is due to differences between\r\ndecision makers in business goals, regulatory restrictions or availability of resources such as data. By using a suboptimal DSS, decision makers risk implementing suboptimal decision recommendations which endanger the success of their business. This presents DSS developers with the challenge to implement a customizable DSS which can be tailored to the individual requirements for decision support of a single decision maker. In order to address this challenge, we suggest a decision support ecosystem in which DSS developers, decision makers and other domain experts collaborate using a shared platform to provide and combine reusable decision support services into a tailored DSS. The contribution of our paper is twofold: First, we define the concept of a decision support ecosystem with respect to existing digital business ecosystems and discuss expected benefits and challenges. Second, we present a reference architecture for a shared platform supporting the realization of a decision support ecosystem. We demonstrate our contributions in the example application domain of regional energy distribution network planning."}],"publication":"Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs","type":"book_chapter","department":[{"_id":"534"},{"_id":"66"}],"file":[{"relation":"main_file","date_updated":"2022-04-25T11:34:18Z","file_name":"ICDSST22_5504_Paper.pdf","file_size":425852,"access_level":"closed","file_id":"30942","success":1,"content_type":"application/pdf","creator":"jonaskir","date_created":"2022-04-25T11:34:18Z"}],"date_created":"2022-04-25T11:33:09Z","date_updated":"2022-09-07T08:56:38Z","intvolume":"       447","year":"2022","title":"Decision Support Ecosystems: Definition and Platform Architecture","author":[{"last_name":"Kirchhoff","first_name":"Jonas","full_name":"Kirchhoff, Jonas","id":"39928"},{"last_name":"Weskamp","first_name":"Christoph","full_name":"Weskamp, Christoph"},{"id":"107","first_name":"Gregor","last_name":"Engels","full_name":"Engels, Gregor"}],"doi":"10.1007/978-3-031-06530-9_8","series_title":"Lecture Notes in Business Information Processing ","language":[{"iso":"eng"}],"file_date_updated":"2022-04-25T11:34:18Z","citation":{"bibtex":"@inbook{Kirchhoff_Weskamp_Engels_2022, series={Lecture Notes in Business Information Processing }, title={Decision Support Ecosystems: Definition and Platform Architecture}, volume={447}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-06530-9_8\">10.1007/978-3-031-06530-9_8</a>}, booktitle={Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs}, publisher={Springer}, author={Kirchhoff, Jonas and Weskamp, Christoph and Engels, Gregor}, year={2022}, collection={Lecture Notes in Business Information Processing } }","ama":"Kirchhoff J, Weskamp C, Engels G. Decision Support Ecosystems: Definition and Platform Architecture. In: <i>Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs</i>. Vol 447. Lecture Notes in Business Information Processing . Springer; 2022. doi:<a href=\"https://doi.org/10.1007/978-3-031-06530-9_8\">10.1007/978-3-031-06530-9_8</a>","mla":"Kirchhoff, Jonas, et al. “Decision Support Ecosystems: Definition and Platform Architecture.” <i>Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs</i>, vol. 447, Springer, 2022, doi:<a href=\"https://doi.org/10.1007/978-3-031-06530-9_8\">10.1007/978-3-031-06530-9_8</a>.","chicago":"Kirchhoff, Jonas, Christoph Weskamp, and Gregor Engels. “Decision Support Ecosystems: Definition and Platform Architecture.” In <i>Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs</i>, Vol. 447. Lecture Notes in Business Information Processing . Springer, 2022. <a href=\"https://doi.org/10.1007/978-3-031-06530-9_8\">https://doi.org/10.1007/978-3-031-06530-9_8</a>.","short":"J. Kirchhoff, C. Weskamp, G. Engels, in: Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs, Springer, 2022.","ieee":"J. Kirchhoff, C. Weskamp, and G. Engels, “Decision Support Ecosystems: Definition and Platform Architecture,” in <i>Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs</i>, vol. 447, Springer, 2022.","apa":"Kirchhoff, J., Weskamp, C., &#38; Engels, G. (2022). Decision Support Ecosystems: Definition and Platform Architecture. In <i>Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs</i> (Vol. 447). Springer. <a href=\"https://doi.org/10.1007/978-3-031-06530-9_8\">https://doi.org/10.1007/978-3-031-06530-9_8</a>"},"has_accepted_license":"1","status":"public","conference":{"name":"8th International Conference on Decision Support System Technology (ICDSST'22)"},"user_id":"39928","ddc":["000"],"volume":447,"_id":"30941","publisher":"Springer"}]