AI for Human Flourishing Ecosystem Map

The AI and Human Flourishing Ecosystem Map is a living systems map that visualizes the global network of organizations, research institutions, industry labs, nonprofits, philanthropic organizations, policymakers, and community leaders working at the intersection of artificial intelligence and human flourishing. The map reveals how diverse actors across academia, industry, civil society, policy, philanthropy, measurement, and community engagement are connected through shared missions and collaborations. Organized around key dimensions of human flourishing, including physical and mental wellbeing, healthy relationships, comprehension and agency, curiosity and learning, creativity and expression, and sense of purpose, the map provides a systems-level view of the emerging ecosystem dedicated to ensuring AI benefits humanity. By making relationships, collaborations, and gaps in the field visible, the project serves as a strategic resource for researchers, funders, policymakers, and practitioners to foster cross-sector partnerships, identify opportunities for collective impact, and advance the development of AI that enhances individual and societal flourishing.

Run it

Any static file server works (loading data/*.csv needs HTTP, not file://):

python3 -m http.server 8471
# → http://localhost:8471

Structure

index.html            page shell
css/styles.css        all styling (light/dark aware)
js/
  main.js             entry point: loads the store, wires the UI
  config.js           roles, flourishing areas, relationship types, palettes
  csv.js              CSV parse/serialize engine
  store.js            the CSV file system: tables, schemas, persistence, import/export
  model.js            CSV rows ↔ nested domain model (orgs → projects, people, links)
  state.js            shared app state + theming
  graph.js            graph construction + force physics
  canvas.js           canvas rendering + pan/zoom/drag interaction
  legend.js           stats line + role filter legend
  panel.js            right-hand detail panel
  forms.js            add/edit modals + edit-mode gate
  editor.js           the CSV Data editor (tags, pickers, audit)
  overlay.js          full-screen overlay infrastructure
  pathway.js          "Pathway to impact" view
  dom.js              esc/toast/modal helpers
data/
  orgs.csv            one row per organization
  projects.csv        one row per project (org_id → orgs.csv)
  people.csv          one row per person (referenced by orgs and projects)
  links.csv           typed connections between organizations
tools/                one-off migration scripts that produced data/

The CSV data layer

All data lives in four auditable CSV files that open in any spreadsheet tool:

File	Row	Key columns
orgs.csv	an organization	roles, people, tags, keywords, areas
projects.csv	a project	org_id (lead), collab (partner orgs), people, areas
people.csv	a person	id, name, title, url
links.csv	a connection	source_id, target_id, type, label

Multi-value cells are |-separated. The first entry in roles is the organization's primary role. people and collab hold IDs that point at people.csv and orgs.csv. Connection type is one of fund, support, or collaborate.

The app loads these at startup; browser edits are persisted to localStorage as CSV text, so what you edit is exactly what Export CSV downloads. Commit exported files back into data/ to make edits permanent for everyone.

The Data editor

Open with Data (CSV). Read-only browsing is available to everyone for auditing; Edit (password: flourishing) unlocks changes.

• Organizations is the hub view. Alongside every CSV column it carries this organization's projects and connections, so one row covers the whole record.
• Every multi-value column is tags. Click ＋ for a dropdown of existing values — roles and flourishing areas are fixed vocabularies, while tags, keywords, and people also offer create new. Click ✕ on a tag to remove it.
• Connections are typed (fund · support · collaborate) and color-coded, with an arrow showing direction. Click a connection to change its type or label; add one from the dropdown of existing organizations, or create and connect a brand-new organization in one step.
• People are their own table. Adding a person from an organization creates the people.csv row automatically; the People tab shows each person's affiliations (organizations and projects) as clickable tags.
• Tags navigate. Clicking a person, project, or organization tag jumps to that row and highlights it for editing.
• Custom columns (audit status, sources, notes…) can be added, renamed, and deleted per table. They are saved, exported, and searchable; core columns the map depends on are protected.
• Auditing. Tags and cells pointing at a nonexistent ID show red, as do duplicate IDs. Renaming an organization or person id updates every reference across all four files.
• Import/export works per table or for the whole dataset.