A minimal, computation-forward interface to map makers, track repair capacity,
and translate everyday maintenance into civic infrastructure.
Parkerhood/Participatory Citizen Lab
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Computation lens: treat each pin as a node in a care graph (skills, tools, neighborhoods),
then measure access, resilience, and repair throughput over time.
All
Electronics
Mobility
Textile
Wood
MAP•0 pins
high-trust makers community nodes learning hubs
How it works
1 Pin a craftsperson
2 Tag skills + tools
3 Compute access gaps
4 Co-design repair routes
Map visualization
Load ~200–300 real nodes from OpenStreetMap (makers / repair shops / community nodes) in Bangkok and Massachusetts,
then connect edges only when a node is selected (nearest or within 2–5 km). Data credits: OSM contributors (ODbL).
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radius3.0 km
AI
REAL•0 nodes
AI tuning (definition of “community”): by administrative districts (Bangkok districts / MA counties) — approximated as grid cells,
by walkability radius (2–5 km), by repair specialization (electronics vs textile clusters), or by social signals (events/shared tools).
maker / craft node repair shop community nodeTip: click a node to draw edges (selected only) and update coverage score.