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

^*Korrespondierende/r Autor/-in für diese Arbeit

Institut für Menschzentrierte Interaktive Systeme

Rheinisch-Westfälische Technische Hochschule Aachen

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.

Originalsprache	Englisch
Titel	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)
Band	14029
Herausgeber (Verlag)	Springer Nature Swiitzerland
Erscheinungsdatum	2023
Seiten	368 - 377
DOIs	https://doi.org/10.1007/978-3-031-35748-0_27
Publikationsstatus	Veröffentlicht - 2023

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

SDG 3 – Gesundheit und Wohlergehen
SDG 4 – Qualitativ hochwertige Bildung
SDG 8 – Angemessene Arbeitsbedingungen und wirtschaftliches Wachstum
SDG 9 – Industrie, Innovation und Infrastruktur
SDG 11 – Nachhaltige Städte und Gemeinschaften
SDG 13 – Klimaschutz
SDG 16 – Frieden, Gerechtigkeit und verlässliche Institutionen

Coronavirus-Bezug

Forschung zu SARS-CoV-2 / COVID-19

Dokumente

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

https://rdcu.be/dHdjJ

1 Abgeschlossen

infoXpand: Modellierungsnetz: infoXpand - Informationen, Meinungen, Mobilität, Verhalten und Bayes'sche Inferenz bei der Modellierung von Infektionskrankheiten - Teilprojekt C
Calero Valdez, A. (Projektleiter*in (PI))
01.05.22 → 30.04.25
Projekt: Projekte aus Bundesmitteln › Projekte aus Bundesmitteln: BMFTR (Forschung, Technologie und Raumfahrt)

Zitieren

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) (Band 14029, S. 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). Band 14029 Springer Nature Swiitzerland, 2023. S. 368 - 377

@inproceedings{88077f34abb149b1a33d83c4f6f4cb2c,

title = "Using Agent-Based Modeling to Understand Complex Social Phenomena: A Curriculum Approach",

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.",

author = "\{Calero Valdez\}, Andr{\'e} and Johannes Nakayama and Luisa Vervier and Hendrik Nunner and Martina Ziefle",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.",

year = "2023",

doi = "10.1007/978-3-031-35748-0\_27",

language = "English",

volume = "14029",

pages = "368 -- 377",

booktitle = "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",

publisher = "Springer Nature Swiitzerland",

}

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). Bd. 14029, Springer Nature Swiitzerland, S. 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). Band 14029 Springer Nature Swiitzerland, 2023. S. 368 - 377.

Publikation: Kapitel in Büchern/Berichten/Konferenzbänden › Konferenzbeitrag › Begutachtung

TY - GEN

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

T2 - A Curriculum Approach

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.

U2 - 10.1007/978-3-031-35748-0_27

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

M3 - Conference contribution

VL - 14029

SP - 368

EP - 377

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

PB - Springer Nature Swiitzerland

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). Band 14029. Springer Nature Swiitzerland. 2023. S. 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-Bezug

Dokumente

Fingerprint

Projekte

infoXpand: Modellierungsnetz: infoXpand - Informationen, Meinungen, Mobilität, Verhalten und Bayes'sche Inferenz bei der Modellierung von Infektionskrankheiten - Teilprojekt C

Zitieren