TY - GEN
T1 - Distribution of Synthetic Populations of Japan for Social Scientists and Social Simulation Researchers
AU - Murata, Tadahiko
AU - Harada, Takuya
AU - Wa, Manabu Ichika
AU - Goto, Yusuke
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.
KW - Agent simulations
KW - Big data analysis
KW - Data protection
KW - Real-scale social simulations
KW - Synthetic population
UR - http://www.scopus.com/inward/record.url?scp=85078537866&partnerID=8YFLogxK
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U2 - 10.1109/ICMLC48188.2019.8949245
DO - 10.1109/ICMLC48188.2019.8949245
M3 - Conference contribution
AN - SCOPUS:85078537866
T3 - Proceedings - International Conference on Machine Learning and Cybernetics
BT - Proceedings of 2019 International Conference on Machine Learning and Cybernetics, ICMLC 2019
PB - IEEE Computer Society
T2 - 18th International Conference on Machine Learning and Cybernetics, ICMLC 2019
Y2 - 7 July 2019 through 10 July 2019
ER -