<aside> <img src="/icons/globe_gray.svg" alt="/icons/globe_gray.svg" width="40px" />
Organized by AI Consortium & 5D World Map System with EJC2025
</aside>
Achievement Goals of the Summer School:
Engage in interactive sessions where speakers guide participants to collaboratively design actionable initiatives that aim to preserve and improve our natural environment.
Focus Areas:
Global Environmental AI, Advancing 5DWM to the next level to inspire and promote contributions to our nature and society, Experimental studies of ocean and coastal areas
<aside> <img src="/icons/location_gray.svg" alt="/icons/location_gray.svg" width="40px" /> Technical University of Ostrava, Czech Republic [hybrid via zoom]
Building name: FEI (Faculty of Electrical Engineering and Computer Science)
Room number: EC1 (main lecture hall located on one floor above the ground floor)
campus map https://ejc2025.vsb.cz/venue.html
</aside>
<aside> <img src="/icons/calendar_gray.svg" alt="/icons/calendar_gray.svg" width="40px" /> Jun 9th,2024 [13:00-16:30 CEST]
</aside>
<aside> <img src="/icons/compose_gray.svg" alt="/icons/compose_gray.svg" width="40px" /> Registration [free] by June 7th
</aside>
Humankind, the dominant species on Earth, faces the most essential and indispensable mission; we must endeavor on a global scale to perpetually restore and improve our natural and social environments. One of the essential computations in AI is context-dependent semantic-computing to analyze the changes of various situations in a context dependent way with a large amount of information & knowledge resources. It is also significant to memorize those situations and compute social and environmental change in various aspects and contexts, in order to discover what is happening on our planet. We have proposed a multi-dimensional computing model, the Mathematical Model of Meaning (MMM) in 1994. As a global knowledge processing system based on MMM, we have realized the “5-Dimensional World Map System” for integrating and analyzing environmental and social phenomena in ocean and land. We introduce the concept of “SPA (Sensing, Processing and Analytical Actuation Functions)” for realizing a global knowledge processing system, to apply it to the 5-Dimensional World Map System. This concept is effective and advantageous to design knowledge processing and environmental systems with Physical-Cyber integration to detect environmental and social phenomena as real data resources in a physical-space (real space), map them to cyberspace to make analytical and semantic computing, and actuate the analytically computed results to the real space with visualization for expressing environmental and social phenomena, casualties and influences. Currently, the 5D World Map System is globally utilized as a Global Environmental Semantic Computing System, in SDGs 9, 11 and 14, United-Nations-ESCAP: (https://sdghelpdesk.unescap.org/toolboxes).
Yasushi Kiyoki
President, AI Consortium & 5D World Map System, Asia AI Institute
Emeritus Professor, Keio University
Dean, Prof., Faculty of Data Science, Musashino University
Global environmental AI architecture
Yasushi Kiyoki
Emeritus Professor, Keio University
Dean, Professor, Faculty of Data Science,
Musashino University
13:00 - 13:40 (CEST)
Collective Intelligence for Beach Plastic Garbage Reduction : Environment recovery community
Thatsanee Charoenporn (Musashino University, Japan), Nattapong Tongtep (PSU, Thailand), Athita Onuean (BUU, Thailand)
Stop Producing the Waste
Virach Sornlertlamvanich (Musashino University, Japan)
Supporting Human Interaction with Computation - Development of Interaction and tools for trash pickup volunteer -
Yasuhiro Hayashi (Musashino University, Japan)
“Semantic-Microscope” for Global Environmental AI
Asako Uraki, Yasushi Kiyoki (Musashino University, Japan)
13:40 - 14:20 (CEST)
14:20 - 14:40 (CEST)
Environment Experimental Studies of PM2.5 in Thailand
Asst.Prof. Phudinan Singkhamfu (Chiang Mai University, Thailand)
Mangrove Ecosystem Semantic Computing to Support Environmental Action
Prasetyo Wibowo (PENS, Indonesia and Musashino University, Japan)
14:40 - 15:40 (CEST)