Distribution of Synthetic Populations of Japan for Social Scientists and Social Simulation Researchers

Tadahiko Murata; Takuya Harada; Manabu Ichika Wa; Yusuke Goto; Lee Hao; Susumu Date; Masaharu Munetomo; Akiyoshi Sugiki

doi:10.1109/ICMLC48188.2019.8949245

Distribution of Synthetic Populations of Japan for Social Scientists and Social Simulation Researchers

Tadahiko Murata, Takuya Harada, Manabu Ichika Wa, Yusuke Goto, Lee Hao, Susumu Date, Masaharu Munetomo, Akiyoshi Sugiki

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

In this paper, we describe how synthesized populations are essential in real-scale social simulations (RSSS), and the current situation of the population synthesis for whole populations in Japan. RSSS is simulations using the real number of populations or households in social simulations. This paper describes how we have completed to synthesize multiple sets of populations based on the statistics of each local government in Japanese national census in 2000,2005,2010 and 2015. We have started to distribute those multiple sets of the synthesized populations for researchers of RSSSs in Japan. In distributing the synthesized populations, we should set some regulations in order to protect personal or private information in the synthesized populations.

Original language	English
Title of host publication	Proceedings of 2019 International Conference on Machine Learning and Cybernetics, ICMLC 2019
Publisher	IEEE Computer Society
ISBN (Electronic)	9781728128160
DOIs	https://doi.org/10.1109/ICMLC48188.2019.8949245
Publication status	Published - 2019 Jul
Event	18th International Conference on Machine Learning and Cybernetics, ICMLC 2019 - Kobe, Japan Duration: 2019 Jul 7 → 2019 Jul 10

Publication series

Name	Proceedings - International Conference on Machine Learning and Cybernetics
Volume	2019-July
ISSN (Print)	2160-133X
ISSN (Electronic)	2160-1348

Conference

Conference	18th International Conference on Machine Learning and Cybernetics, ICMLC 2019
Country/Territory	Japan
City	Kobe
Period	19/7/7 → 19/7/10

Keywords

Agent simulations
Big data analysis
Data protection
Real-scale social simulations
Synthetic population

ASJC Scopus subject areas

Artificial Intelligence
Computational Theory and Mathematics
Computer Networks and Communications
Human-Computer Interaction

Access to Document

10.1109/ICMLC48188.2019.8949245

Cite this

Murata, T., Harada, T., Wa, M. I., Goto, Y., Hao, L., Date, S., Munetomo, M., & Sugiki, A. (2019). Distribution of Synthetic Populations of Japan for Social Scientists and Social Simulation Researchers. In Proceedings of 2019 International Conference on Machine Learning and Cybernetics, ICMLC 2019 [8949245] (Proceedings - International Conference on Machine Learning and Cybernetics; Vol. 2019-July). IEEE Computer Society. https://doi.org/10.1109/ICMLC48188.2019.8949245

Distribution of Synthetic Populations of Japan for Social Scientists and Social Simulation Researchers. / Murata, Tadahiko; Harada, Takuya ; Wa, Manabu Ichika et al.
Proceedings of 2019 International Conference on Machine Learning and Cybernetics, ICMLC 2019. IEEE Computer Society, 2019. 8949245 (Proceedings - International Conference on Machine Learning and Cybernetics; Vol. 2019-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Murata, T, Harada, T , Wa, MI , Goto, Y, Hao, L, Date, S, Munetomo, M & Sugiki, A 2019, Distribution of Synthetic Populations of Japan for Social Scientists and Social Simulation Researchers. in Proceedings of 2019 International Conference on Machine Learning and Cybernetics, ICMLC 2019., 8949245, Proceedings - International Conference on Machine Learning and Cybernetics, vol. 2019-July, IEEE Computer Society, 18th International Conference on Machine Learning and Cybernetics, ICMLC 2019, Kobe, Japan, 19/7/7. https://doi.org/10.1109/ICMLC48188.2019.8949245

Murata T, Harada T , Wa MI , Goto Y, Hao L, Date S et al. Distribution of Synthetic Populations of Japan for Social Scientists and Social Simulation Researchers. In Proceedings of 2019 International Conference on Machine Learning and Cybernetics, ICMLC 2019. IEEE Computer Society. 2019. 8949245. (Proceedings - International Conference on Machine Learning and Cybernetics). doi: 10.1109/ICMLC48188.2019.8949245

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title = "Distribution of Synthetic Populations of Japan for Social Scientists and Social Simulation Researchers",

abstract = "In this paper, we describe how synthesized populations are essential in real-scale social simulations (RSSS), and the current situation of the population synthesis for whole populations in Japan. RSSS is simulations using the real number of populations or households in social simulations. This paper describes how we have completed to synthesize multiple sets of populations based on the statistics of each local government in Japanese national census in 2000,2005,2010 and 2015. We have started to distribute those multiple sets of the synthesized populations for researchers of RSSSs in Japan. In distributing the synthesized populations, we should set some regulations in order to protect personal or private information in the synthesized populations.",

keywords = "Agent simulations, Big data analysis, Data protection, Real-scale social simulations, Synthetic population",

author = "Tadahiko Murata and Takuya Harada and Wa, {Manabu Ichika} and Yusuke Goto and Lee Hao and Susumu Date and Masaharu Munetomo and Akiyoshi Sugiki",

note = "Funding Information: Part of this research is funded by JSPS KAKENHI 17K03669 in 2017, Foundation for the Fusion of Science and Technology in 2018, and Tateishi Science and Technology Foundation in 2018. Synthesized populations are generated using the large-scale computing systems (VCC) and OCTOPUS of Cybermedia Center, Osaka University, and distributed using Inter-Cloud System, Hokkaido University under the program of “Joint Usage/Research Center for Interdisciplinary Large-scale Information Infrastructures” and “High Performance Computing Infrastructure” in Japan (Project ID: jh190056-MDH). Publisher Copyright: {\textcopyright} 2019 IEEE.; 18th International Conference on Machine Learning and Cybernetics, ICMLC 2019 ; Conference date: 07-07-2019 Through 10-07-2019",

year = "2019",

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doi = "10.1109/ICMLC48188.2019.8949245",

language = "English",

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AU - Hao, Lee

AU - Date, Susumu

AU - Munetomo, Masaharu

AU - Sugiki, Akiyoshi

N1 - Funding Information: Part of this research is funded by JSPS KAKENHI 17K03669 in 2017, Foundation for the Fusion of Science and Technology in 2018, and Tateishi Science and Technology Foundation in 2018. Synthesized populations are generated using the large-scale computing systems (VCC) and OCTOPUS of Cybermedia Center, Osaka University, and distributed using Inter-Cloud System, Hokkaido University under the program of “Joint Usage/Research Center for Interdisciplinary Large-scale Information Infrastructures” and “High Performance Computing Infrastructure” in Japan (Project ID: jh190056-MDH). Publisher Copyright: © 2019 IEEE.

PY - 2019/7

Y1 - 2019/7

N2 - In this paper, we describe how synthesized populations are essential in real-scale social simulations (RSSS), and the current situation of the population synthesis for whole populations in Japan. RSSS is simulations using the real number of populations or households in social simulations. This paper describes how we have completed to synthesize multiple sets of populations based on the statistics of each local government in Japanese national census in 2000,2005,2010 and 2015. We have started to distribute those multiple sets of the synthesized populations for researchers of RSSSs in Japan. In distributing the synthesized populations, we should set some regulations in order to protect personal or private information in the synthesized populations.

AB - In this paper, we describe how synthesized populations are essential in real-scale social simulations (RSSS), and the current situation of the population synthesis for whole populations in Japan. RSSS is simulations using the real number of populations or households in social simulations. This paper describes how we have completed to synthesize multiple sets of populations based on the statistics of each local government in Japanese national census in 2000,2005,2010 and 2015. We have started to distribute those multiple sets of the synthesized populations for researchers of RSSSs in Japan. In distributing the synthesized populations, we should set some regulations in order to protect personal or private information in the synthesized populations.

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KW - Data protection

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Distribution of Synthetic Populations of Japan for Social Scientists and Social Simulation Researchers

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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