Is this a question here: how to develop a #RealisticVirtualHarbin Hot Springs as an ethnographic field site and for sociocultural anthropology theories too?
Scott MacLeod's Research Group
World University and School,
Actual / Virtual Harbin Ethnography
rainbow line
Research Topics
Ethno-Wiki-Virtual-World-
Virtual Harbin generation (realistic)
Realistic virtual earth / cosmos generation, group build-able at atomic/molecular, neuronal/cellular, and streetview/behavioral levels
Avatar robotics' design and printing of 3D place / avatar bots
Brain chemistry - a) loving bliss and b) consciousness as awareness - research and modeling (re e.g. modeling mouse and fly brains with AI)
Wiki ethnography generation
Field work to actual Harbin Hot Springs
Scott MacLeod's
Naked Harbin Ethnography:
Hippies, Warm Pools, Counterculture, Clothing-Optionality & Virtual Harbin
by Scott MacLeod
http://www.scottmacleod.com/
Creating Comics With Gemini AI
https://youtu.be/Krme8S1ghWQ
may open way to 1) #InventingTheBookAnew @WUaSPress in 7159 #WUaSlanguages publishing fr #GStreetView w #GTimeSlider #TextInTheSidebar & 2) 2nd #HarbinEthnography @HarbinBook in #RealisticVirtualHarbin ~
https://x.com/WorldUnivAndSch/
https://x.com/HarbinBook/
https://x.com/WUaSPress/
https://x.com/sgkmacleod/
https://x.com/scottmacleod/
https://x.com/Q_YogaMacFlower/
https://x.com/TheOpenBand/
https://www.linkedin.com/
https://www.linkedin.com/
https://www.linkedin.com/
In my previous role as Director for Social & Human Sciences at UNESCO, I worked to position anthropology, including digital anthropology, as central to its mandate of creating the conditions for peace in the minds of men and women. I’m now working with a small group of AI experts and anthropologists (Kohesis) to address a core limitation in current AI systems: while they can identify patterns in language, they lack access to the structured conceptual relationships through which disciplines such as anthropology organise knowledge — their theories, distinctions, and analytical frameworks.
As a result, AI systems risk misinterpreting social reality, with consequences for how policies are designed, markets are understood, and societies are represented.
We are developing an approach to represent this conceptual architecture through semantically enriched knowledge graphs, allowing AI systems to engage with anthropological knowledge while preserving depth, context, and scholarly integrity, and positioning anthropology more centrally in an age where AI systems increasingly shape how reality is understood and acted upon.
We are currently forming a founding academic partnership with a small number of leading universities, co-creating a semantically enriched knowledge graph that reflects the conceptual architecture of the discipline — which AI can meaningfully understand and represent.
I’ve shared a brief note here:
https://docs.google.com/
I would greatly value your reflections if of interest.
Magnus Magnusson
Co-Founder, Kohesis
Email: magnus@kohesis.com
www.linkedin.com/in/
Phone: +33 6 77 30 51 27
WhatsApp: +46 76 320 21 19
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https://en.wikipedia.org/wiki/Province_flowers_of_Sweden
https://en.wikipedia.org/wiki/Endangered_plants_of_Europe
https://en.wikipedia.org/wiki/Honeysuckle
https://en.wikipedia.org/wiki/Lonicera_periclymenum
https://commons.wikimedia.org/wiki/Category:Lonicera_periclymenum
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UNEP-WCMC has published a report summarising five years of research into the Congo Basin peatlands, under the



