The "Nishi-Shinjuku Advanced Service Implementation Industry-Government-Academia Consortium" held a report meeting on the results of its activities in fiscal year 2024!

　On March 6, 2025 (Thursday), the Nishi-Shinjuku Advanced Service Implementation/Industry-Government-Academia Consortium (hereinafter referred to as the "Consortium") The Consortium is a collaboration of diverse entities from industry, government, and academia.
　The Consortium was launched in September 2022 with the aim of promoting a wide range of initiatives to make Nishi-Shinjuku a smart city through collaboration among various entities in industry, government, and academia. The Consortium has subcommittees in which multiple members work on common themes, and each subcommittee has implemented several projects that aim to make the Nishi-Shinjuku area a smart city through the use of cutting-edge technologies.

　At the results reporting session, each of these subcommittees/projects reported on the results of their past efforts and future activity plans!

Outline of the event

Date: Thursday, March 6, 2025, 13:00~16:00

Place：Tokyo Metropolitan Government First Main Building 42F Special Conference Room/online

Reporting Subcommittee

• 　・Taisei Corporation, "Digital Twin Subcommittee for the Creation and Implementation of Urban Services."
  
• 　Odakyu Electric Railway Co. "Subcommittee to Study Urban Implementation of XR for Enhancing Regional Attractiveness"
  
• 　Jordaan Corporation "Data Linkage Platform Subcommittee to Promote Local Recognition and Business Participation
  
• 　Kawasaki Heavy Industries, Ltd. and NTT Communications Corporation "Automated Delivery Subcommittee for New Urban Logistics"
  
• 　MotionLib Corporation, "Subcommittee to Study Means of Solving Social Issues Using Feel Control Technology"
  
• 　Universal Communication Subcommittee using Advanced Technology", Dai Nippon Printing Co.
  
• 　Octa Robotics Corporation "Subcommittee for the Study of New Work Styles Utilizing Robot Friendly Buildings".
  
• 　Oberlin University "AI-based 'coziness' measurement subcommittee"
  

Reporting of results