Policy Making Based on Real-Scale Social Simulations

Murata, Tadahiko

2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022, 2023

Number of Access:241（2025-07-05 02:35 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/93352

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Title
Policy Making Based on Real-Scale Social Simulations
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
Subject
decision making
responsibility
social simulations
Description
Murata T.. Policy Making Based on Real-Scale Social Simulations. 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022, (2022); https://doi.org/10.1109/SCISISIS55246.2022.10001860.
Abstract
In this paper, we discuss decision-making processes for our communities using social simulation tools using some machine learning or artificial intelligence techniques. We take an example of considering preventive measures based on simulation results during COVID-19 pandemic. To avoid explosive infection in Japan, several preventive measures were considered. Among them, short-time business for restaurants, tourism support policies and vaccination schedules are included. I am involved in Covid-19 AI & Simulation Project Team (AISP) of Cabinet Secretariat, Japanese government. My contribution is to provide synthetic population data for real-scale social simulations for specific areas. In those simulations, we do not aim to predict a precise number of infected or severe patients by COVID-19 but to show several simulation results under various scenarios with different simulation parameters. After their simulation results are compared with each other, common outcomes are extracted from their results, and finally they are provided to the government. In that decision making process, their simulation results under several scenarios are shown to government officers, and final decision makings are left for politicians to decide. Since experts who are not elected are not able to take political responsibilities for their decision making, the AISP team shows several scenarios using their simulation models to support government officers and politicians to make their decisions.
Conference Information
Conference Name
2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS)
Conference Date
November 29th to December 2nd, 2022
Conference Venue
Sinfonia Technology Hibiki Hall Ise
Conference Place
Mie
Conference Country
Japan
Publisher
Institute of Electrical and Electronics Engineers Inc.
Source Title
2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022
Date of Issued
2023-01-04
Language
English
Handle URL
https://hdl.handle.net/11094/93352
Relation.isVersionOf
DOI (Publisher Version)
https://doi.org/10.1109/SCISISIS55246.2022.10001860
Access Rights
open access
CopyRight
© 2023 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