Using Agent-Based Modeling to Understand Complex Social Phenomena: A Curriculum Approach

André Calero Valdez; Johannes Nakayama; Luisa Vervier; Hendrik Nunner; Martina Ziefle

doi:10.1007/978-3-031-35748-0_27

Using Agent-Based Modeling to Understand Complex Social Phenomena: A Curriculum Approach

André Calero Valdez^*, Johannes Nakayama, Luisa Vervier, Hendrik Nunner, Martina Ziefle

^*Corresponding author for this work

Institute of Multimedia and Interactive Systems

RWTH Aachen University

Abstract

Agent-based modeling (ABM) is a powerful tool for studying complex systems that involve multiple agents interacting with each other and their environment. However, there is a lack of comprehensive and easily accessible resources for learning about ABM and its applications. To address this issue, collaboration on developing an open curriculum on ABM for university seminars is proposed. An open curriculum would allow for the sharing of expertise and knowledge across disciplines and institutions, be more accessible to a broader audience, and foster greater collaboration and cooperation among researchers and practitioners in the field of ABM. This would ultimately improve the accessibility and impact of ABM as a tool for understanding and predicting the behavior of complex systems. We propose a curriculum comprising six modules covering the introduction to ABM, building an ABM, analyzing and interpreting results, real-world applications, advanced topics, and future directions.

Original language	English
Title of host publication	14th International Conference Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023 : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14029
Publisher	Springer Nature Swiitzerland
Publication date	2023
Pages	368 - 377
DOIs	https://doi.org/10.1007/978-3-031-35748-0_27
Publication status	Published - 2023

Coronavirus related work

Research on SARS-CoV-2 / COVID-19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-3-031-35748-0_27

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infoXpand: Modellierungsnetz: infoXpand - Informationen, Meinungen, Mobilität, Verhalten und Bayes'sche Inferenz bei der Modellierung von Infektionskrankheiten - Teilprojekt C
Calero Valdez, A. (Principal Investigator (PI))
01.05.22 → 30.04.25
Project: Projects with Federal Funding › Projects with Federal Ministry Funding: BMBF

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Calero Valdez, A., Nakayama, J., Vervier, L., Nunner, H., & Ziefle, M. (2023). Using Agent-Based Modeling to Understand Complex Social Phenomena: A Curriculum Approach. In 14th International Conference Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 14029, pp. 368 - 377). Springer Nature Swiitzerland. https://doi.org/10.1007/978-3-031-35748-0_27

Calero Valdez, André ; Nakayama, Johannes ; Vervier, Luisa et al. / Using Agent-Based Modeling to Understand Complex Social Phenomena : A Curriculum Approach. 14th International Conference Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 14029 Springer Nature Swiitzerland, 2023. pp. 368 - 377

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abstract = "Agent-based modeling (ABM) is a powerful tool for studying complex systems that involve multiple agents interacting with each other and their environment. However, there is a lack of comprehensive and easily accessible resources for learning about ABM and its applications. To address this issue, collaboration on developing an open curriculum on ABM for university seminars is proposed. An open curriculum would allow for the sharing of expertise and knowledge across disciplines and institutions, be more accessible to a broader audience, and foster greater collaboration and cooperation among researchers and practitioners in the field of ABM. This would ultimately improve the accessibility and impact of ABM as a tool for understanding and predicting the behavior of complex systems. We propose a curriculum comprising six modules covering the introduction to ABM, building an ABM, analyzing and interpreting results, real-world applications, advanced topics, and future directions.",

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Calero Valdez, A, Nakayama, J, Vervier, L, Nunner, H & Ziefle, M 2023, Using Agent-Based Modeling to Understand Complex Social Phenomena: A Curriculum Approach. in 14th International Conference Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 14029, Springer Nature Swiitzerland, pp. 368 - 377. https://doi.org/10.1007/978-3-031-35748-0_27

Using Agent-Based Modeling to Understand Complex Social Phenomena: A Curriculum Approach. / Calero Valdez, André; Nakayama, Johannes; Vervier, Luisa et al.
14th International Conference Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 14029 Springer Nature Swiitzerland, 2023. p. 368 - 377.

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

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AU - Nakayama, Johannes

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AU - Ziefle, Martina

PY - 2023

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AB - Agent-based modeling (ABM) is a powerful tool for studying complex systems that involve multiple agents interacting with each other and their environment. However, there is a lack of comprehensive and easily accessible resources for learning about ABM and its applications. To address this issue, collaboration on developing an open curriculum on ABM for university seminars is proposed. An open curriculum would allow for the sharing of expertise and knowledge across disciplines and institutions, be more accessible to a broader audience, and foster greater collaboration and cooperation among researchers and practitioners in the field of ABM. This would ultimately improve the accessibility and impact of ABM as a tool for understanding and predicting the behavior of complex systems. We propose a curriculum comprising six modules covering the introduction to ABM, building an ABM, analyzing and interpreting results, real-world applications, advanced topics, and future directions.

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Calero Valdez A, Nakayama J, Vervier L, Nunner H, Ziefle M. Using Agent-Based Modeling to Understand Complex Social Phenomena: A Curriculum Approach. In 14th International Conference Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 14029. Springer Nature Swiitzerland. 2023. p. 368 - 377 doi: 10.1007/978-3-031-35748-0_27

Using Agent-Based Modeling to Understand Complex Social Phenomena: A Curriculum Approach

Abstract

Coronavirus related work

UN SDGs

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