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

Murata, Tadahiko; Harada, Takuya; Ichikawa, Manabu et al.

Proceedings - International Conference on Machine Learning and Cybernetics, 2020, 2019-July

Number of Access:1,025（2025-10-07 07:56 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/93359

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Title
Distribution of Synthetic Populations of Japan for Social Scientists and Social Simulation Researchers
Creator
NRID
1000030296082 1000030296082
ORCID
0000-0002-1654-3945 0000-0002-1654-3945
researchmap permalink
tadahiko-murata tadahiko-murata
Scopus Author ID
7402737359 7402737359
CreatorName
Murata, Tadahiko
NRID
1000070847201 1000070847201
CreatorName
Harada, Takuya
NRID
1000060553873 1000060553873
CreatorName
Ichikawa, Manabu
NRID
1000040454037 1000040454037
CreatorName
Goto, Yusuke
NRID
1000020411332 1000020411332
CreatorName
Hao, Lee
NRID
1000020346175 1000020346175
ORCID
0000-0001-7159-289X 0000-0001-7159-289X
researchmap permalink
read0068638 read0068638
Scopus Author ID
7103003722 7103003722
CreatorName
Date, Susumu
NRID
1000000281783 1000000281783
CreatorName
Munetomo, Masaharu
NRID
1000050536828 1000050536828
CreatorName
Sugiki, Akiyoshi
Subject
Agent simulations
Big data analysis
Data protection
Real-scale social simulations
Synthetic population
Description
Murata T., Harada T., Wa M.I., et al. Distribution of Synthetic Populations of Japan for Social Scientists and Social Simulation Researchers. Proceedings - International Conference on Machine Learning and Cybernetics 2019-July (2019); https://doi.org/10.1109/ICMLC48188.2019.8949245.
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.
Conference Information
Conference Name
International Conference on Machine Learning and Cybernetics (ICMLC)
Conference Sequence
18
Conference Date
July 7th to July 10th, 2019
Conference Venue
Kobe Convention Center
Conference Place
Kobe
Conference Country
Japan
Publisher
IEEE
Source Title
Proceedings - International Conference on Machine Learning and Cybernetics
Volume (Issue)
2019-July
Date of Issued
2020-01-06
Language
English
Handle URL
https://hdl.handle.net/11094/93359
PISSN
2160133X
eISSN
21601348
Relation.isVersionOf
DOI (Publisher Version)
https://doi.org/10.1109/ICMLC48188.2019.8949245
Access Rights
open access
CopyRight
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
oaire:version
Accepted Manuscript
Category
会議発表論文 Conference Paper