CHANG Shuang 唱爽

… Alternative Names

Chang Shuang 唱爽

Less

Researcher Number	20739627
Other IDs
Affiliation (Current)	2026: 富士通株式会社(富士通研究所), その他部局等, 研究員
Affiliation (based on the past Project Information) *help	2021: 富士通株式会社(富士通研究所), その他部局等, 研究員 2020: 東京工業大学, 情報理工学院, 助教
Review Section/Research Field	Principal Investigator Basic Section 58030:Hygiene and public health-related: excluding laboratory approach
Keywords	Principal Investigator Comparative studies / Agent-based simulation / Long-term care systems / Optimization methods / Agent-based modelling / Long-term care models / Long-term care / Social system simulation

Research Projects
(1 results)
Research Products
(8 results)

Develop a computational framework to support comparative studies of long-term care system by system simulation approachesPrincipal Investigator
- Principal Investigator
  
  Chang Shuang
- Project Period (FY)
  2020 – 2021
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 58030:Hygiene and public health-related: excluding laboratory approach
- Research Institution
  Fujitsu Limited (Fujitsu Research)
  Tokyo Institute of Technology

All 2021 2020

All Journal Article Presentation

[Journal Article] An Agent-Based Framework for E-Government Service System Design2021
- Author(s)
  Chang Shuang、Deguchi Hiroshi
- Journal Title
  
  Simulation and Gaming for Social Design
  
  Pages: 91-110
- DOI
  10.1007/978-981-16-2011-9_5
- ISBN
  9789811620102, 9789811620119
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K18958
[Journal Article] Comparing Long-term Care Models from a Bottom-up Perspective: a framework and a case study2021
- Author(s)
  Shuang Chang
- Journal Title
  
  2021 60th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)
  
  Pages: 202-207
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K18958
[Journal Article] Construct an Artificial Population with Urban and Rural Population Differences Considered: To Support Long-Term Care System Evaluation by Agent-Based Simulation2021
- Author(s)
  Chang Shuang、Deguchi Hiroshi
- Journal Title
  
  PRIMA 2020: Principles and Practice of Multi-Agent Systems. PRIMA 2020. Lecture Notes in Computer Science
  
  Volume: 12568 Pages: 360-367
- DOI
  10.1007/978-3-030-69322-0_25
- ISBN
  9783030693213, 9783030693220
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K18958
[Presentation] Comparing Long-term Care Models from a Bottom-up Perspective: a framework and a case study2021
- Author(s)
  Shuang Chang
- Organizer
  60th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K18958
[Presentation] Incorporating Knowledge Discovery Technology in Micro-dynamic Analysis Method2021
- Author(s)
  Shuang Chang
- Organizer
  Winter Simulation Conference 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K18958
[Presentation] Supporting Long-Term Care System Evaluation by an Agent-based Modelling Approach: an artificial population with urban and rural population differences considered2020
- Author(s)
  Shuang Chang
- Organizer
  The 23rd International Conference on Principles and Practice of Multi-Agent Systems
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K18958
[Presentation] A Modelling base to support long-term care comparative studies by an agent-based simulation approach2020
- Author(s)
  Shuang Chang
- Organizer
  Winter Simulation Conference 2020
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K18958
[Presentation] A Modelling base to support agent-based simulation for health policy analysis2020
- Author(s)
  Shuang Chang
- Organizer
  International Symposium on Social Simulation
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K18958

CHANG Shuang 唱 爽

Chang Shuang 唱 爽

Research Projects

Research Products

Develop a computational framework to support comparative studies of long-term care system by system simulation approachesPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] An Agent-Based Framework for E-Government Service System Design2021

Author(s)

Journal Title

DOI

ISBN

Data Source

[Journal Article] Comparing Long-term Care Models from a Bottom-up Perspective: a framework and a case study2021

Author(s)

Journal Title

Data Source

[Journal Article] Construct an Artificial Population with Urban and Rural Population Differences Considered: To Support Long-Term Care System Evaluation by Agent-Based Simulation2021

Author(s)

Journal Title

DOI

ISBN

Data Source

[Presentation] Comparing Long-term Care Models from a Bottom-up Perspective: a framework and a case study2021

Author(s)

Organizer

Data Source

[Presentation] Incorporating Knowledge Discovery Technology in Micro-dynamic Analysis Method2021

Author(s)

Organizer

Data Source

[Presentation] Supporting Long-Term Care System Evaluation by an Agent-based Modelling Approach: an artificial population with urban and rural population differences considered2020

Author(s)

Organizer

Data Source

[Presentation] A Modelling base to support long-term care comparative studies by an agent-based simulation approach2020

Author(s)

Organizer

Data Source

[Presentation] A Modelling base to support agent-based simulation for health policy analysis2020

Author(s)

Organizer

Data Source

CHANG Shuang 唱爽

Chang Shuang 唱爽