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Social amplification of risk framework: An agent-based approach

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Social amplification of risk framework: An agent-based approach. / Onggo, Bhakti Stephan.
Advances in Social Simulation 2015. ed. / Wander Jager; Rineke Verbrugge; Andreas Flache; Gert de Roo; Lex Hoogduin; Charlotte Hemelrijk. Cham: Springer, 2017. p. 335-339 (Advances in Intelligent Systems and Computing; Vol. 528).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Onggo, BS 2017, Social amplification of risk framework: An agent-based approach. in W Jager, R Verbrugge, A Flache, G de Roo, L Hoogduin & C Hemelrijk (eds), Advances in Social Simulation 2015. Advances in Intelligent Systems and Computing, vol. 528, Springer, Cham, pp. 335-339, 11th Conference of the European Social Simulation Association, ESSA 2015, Groningen, Netherlands, 14/09/15. https://doi.org/10.1007/978-3-319-47253-9_30

APA

Onggo, B. S. (2017). Social amplification of risk framework: An agent-based approach. In W. Jager, R. Verbrugge, A. Flache, G. de Roo, L. Hoogduin, & C. Hemelrijk (Eds.), Advances in Social Simulation 2015 (pp. 335-339). (Advances in Intelligent Systems and Computing; Vol. 528). Springer. https://doi.org/10.1007/978-3-319-47253-9_30

Vancouver

Onggo BS. Social amplification of risk framework: An agent-based approach. In Jager W, Verbrugge R, Flache A, de Roo G, Hoogduin L, Hemelrijk C, editors, Advances in Social Simulation 2015. Cham: Springer. 2017. p. 335-339. (Advances in Intelligent Systems and Computing). Epub 2017 Mar 17. doi: 10.1007/978-3-319-47253-9_30

Author

Onggo, Bhakti Stephan. / Social amplification of risk framework : An agent-based approach. Advances in Social Simulation 2015. editor / Wander Jager ; Rineke Verbrugge ; Andreas Flache ; Gert de Roo ; Lex Hoogduin ; Charlotte Hemelrijk. Cham : Springer, 2017. pp. 335-339 (Advances in Intelligent Systems and Computing).

Bibtex

@inproceedings{30206d4d042142a4ab9c44b936723253,
title = "Social amplification of risk framework: An agent-based approach",
abstract = "There is a paucity in the use of simulation for theory development in the context of the social amplification of risk. Simulation modeling has the advantage of making a theory more precise and including relevant factors within broader boundaries (e.g. the use of multiple actors). This paper demonstrates how an agent-based simulation model can be developed to generate or test a theory in the context of the social amplification of risk. The challenges on model{\textquoteright}s calibration and validation are highlighted.",
keywords = "Agent-based simulation, Model calibration, Model validation, Social amplification of risk framework",
author = "Onggo, {Bhakti Stephan}",
year = "2017",
doi = "10.1007/978-3-319-47253-9_30",
language = "English",
isbn = "9783319472522",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "335--339",
editor = "Jager, {Wander } and Verbrugge, {Rineke } and Flache, {Andreas } and {de Roo}, Gert and Hoogduin, {Lex } and Charlotte Hemelrijk",
booktitle = "Advances in Social Simulation 2015",
note = "11th Conference of the European Social Simulation Association, ESSA 2015 ; Conference date: 14-09-2015 Through 18-09-2015",

}

RIS

TY - GEN

T1 - Social amplification of risk framework

T2 - 11th Conference of the European Social Simulation Association, ESSA 2015

AU - Onggo, Bhakti Stephan

PY - 2017

Y1 - 2017

N2 - There is a paucity in the use of simulation for theory development in the context of the social amplification of risk. Simulation modeling has the advantage of making a theory more precise and including relevant factors within broader boundaries (e.g. the use of multiple actors). This paper demonstrates how an agent-based simulation model can be developed to generate or test a theory in the context of the social amplification of risk. The challenges on model’s calibration and validation are highlighted.

AB - There is a paucity in the use of simulation for theory development in the context of the social amplification of risk. Simulation modeling has the advantage of making a theory more precise and including relevant factors within broader boundaries (e.g. the use of multiple actors). This paper demonstrates how an agent-based simulation model can be developed to generate or test a theory in the context of the social amplification of risk. The challenges on model’s calibration and validation are highlighted.

KW - Agent-based simulation

KW - Model calibration

KW - Model validation

KW - Social amplification of risk framework

U2 - 10.1007/978-3-319-47253-9_30

DO - 10.1007/978-3-319-47253-9_30

M3 - Conference contribution/Paper

AN - SCOPUS:85016122693

SN - 9783319472522

T3 - Advances in Intelligent Systems and Computing

SP - 335

EP - 339

BT - Advances in Social Simulation 2015

A2 - Jager, Wander

A2 - Verbrugge, Rineke

A2 - Flache, Andreas

A2 - de Roo, Gert

A2 - Hoogduin, Lex

A2 - Hemelrijk, Charlotte

PB - Springer

CY - Cham

Y2 - 14 September 2015 through 18 September 2015

ER -