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 Human-Centered 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

UN SDGs

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

SDG 3 Good Health and Well-being
SDG 4 Quality Education
SDG 8 Decent Work and Economic Growth
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 13 Climate Action
SDG 16 Peace, Justice and Strong Institutions

Coronavirus related work

Research on SARS-CoV-2 / COVID-19

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

https://rdcu.be/dHdjJ

infoXpand: Modeling Network: infoXpand - Information, Opinions, Mobility, Behavior, and Bayesian Inference in Infectious Disease Modeling - Subproject C
Calero Valdez, A. (Principal Investigator (PI))
01.05.22 → 30.04.25
Project: Projects with Federal Funding › Federal Funding: BMFTR (Research, Technology and Space)

Cite this

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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T1 - Using Agent-Based Modeling to Understand Complex Social Phenomena

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AU - Calero Valdez, André

AU - Nakayama, Johannes

AU - Vervier, Luisa

AU - Nunner, Hendrik

AU - Ziefle, Martina

PY - 2023

Y1 - 2023

N2 - 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.

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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BT - 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

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ER -

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

UN SDGs

Coronavirus related work

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Projects

infoXpand: Modeling Network: infoXpand - Information, Opinions, Mobility, Behavior, and Bayesian Inference in Infectious Disease Modeling - Subproject C

Cite this