The data model
The minimum data needed to find organisations that complement each other, and nothing more. Version 0, and it will grow as the work does.
Core building blocks
| Entity | What it holds | Key fields |
|---|---|---|
| Aspiration | A dated wish for change by an actor | theme, description, scale, target year, source and source date, location |
| Actor | An organisation, or a person acting publicly for one | name, type, role (doer, funder, knowledge holder, user), sector, size, public-private fit, website, location |
| Relation | A known link between two actors | type (partnership, shared goal, earlier collaboration), source, date, trust level (stated, evidenced, proven) |
| Commitment | What an actor will start, maintain or stop | action, offer, need, theme, horizon, public source |
| Investment | Money, time or assets pledged or sought | direction, form, ticket size band, horizon, return logic (financial, social, resilience) |
| Match and outcome | A proposed coalition and what happened | members, score and breakdown, red flags, status, outcome notes, date |
Cross-cutting details
These are not separate products. They are sets of fields that attach to the core building blocks where relevant.
| Detail | Fields | Attaches to |
|---|---|---|
| Location | country, region, city, optional geo point, climate zone | Actor, Aspiration, Property, Commitment |
| Innovation | type (product, process, social, business model), maturity (idea, pilot, scale), novelty | Aspiration, Commitment, Investment |
| Property | asset type (land, building, infrastructure, equipment, IP), ownership, availability (in use, partly idle, idle), reuse potential, location | Actor, Commitment, Investment |
| AI and robotics engagement | adoption stage (none, explore, pilot, scale), use cases, human-AI collaboration readiness, expected workforce impact | Actor, Commitment, Aspiration |
Context data
Mostly drawn from open sources and linked by place and theme. It explains why a coalition matters now.
| Context | Examples | Use |
|---|---|---|
| Resilience | exposure to heat, flood, drought, supply-chain and labour shocks | Shows urgency and shared risk |
| Opportunity | funding calls, markets, idle assets, redeployable capacity | Shows what can be unlocked |
| Foresight | trends, scenarios, Images of 2040 | Gives direction and timing |
| Practice | Sumnetics methods and team readings | Shows whether a coalition can work together |
How it fits together
- An actor owns aspirations, makes commitments, pledges or seeks investment and holds property.
- A commitment serves an aspiration and can be backed by investment or property.
- Relations link actors to each other.
- A match groups actors, aspirations and commitments into a proposed coalition.
- Location, innovation and AI engagement attach to actors, aspirations, commitments and property; context joins by place and theme.
Illustrative example, not a real record: a housing nonprofit wants to cool 500 homes by 2030; a firm commits to start retrofits; a fund seeks a resilience return; an idle roof is offered. Together they form a proposed match.
Rollout
Phase 1
Start
Aspirations, actors, commitments and location.
Phase 2
Connect
Relations, investment and property.
Phase 3
Learn
Innovation, AI and robotics engagement, and learning from match outcomes.
Where next?