r3.0 Bioregional Open Dialogue 14: Mapping the Field – Launching a Bioregional Knowledge Commons Database

How do we relearn to live in right relationship with the land and water that sustain us? Communities around the world are already answering it in practice, through regenerative food systems, watershed stewardship, and new forms of place-based governance. But this knowledge often stays scattered: locked in reports, oral histories, and disconnected systems, largely invisible to the wider field trying to learn from it.

This talk introduces the first public output of r3.0's Bioregional Knowledge Commons Project: a structured secondary-research database — 57 organization profiles and 59 in-depth case studies drawn from 117 sources on bioregional organizing worldwide — built into a queryable, Markdown-native knowledge base designed for discovery, comparison, and eventual federation across bioregions.

Andrea Farias, r3.0 Research Fellow, will walk through what's in the database, how it's structured, and what the team learned building it — then zoom out to the larger landscape it's part of: a "local / meta" model of federated knowledge commons, and parallel efforts to build bioregional intelligence infrastructure that helps places understand and steward themselves. The throughline: territories and communities need better ways to know themselves and each other — and that infrastructure is just beginning to take shape. 

This last Bioregional Open Dialogue session before the r3.0 Conference will tee up the Bioregional Knowledge Commons Panel Session at the Conference, where r3.0 Research Fellow Eli Ingraham will present on the overarching Bioregional Knowledge Commons Research Project, focusing in particular on the Primary Research elements, including interviewing bioregional groups globally about their regenerative practices, and then applying a pattern analysis method to discern commonalities across biocultural contexts.

The Session will take place on the r3.0 Zoom line:

https://zoom.us/j/4785801785?pwd=RU50bUFWSG5wUnBBc21JMFUyaEhyUT09

Meeting ID: 478 580 1785

Passcode: 902564