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Data domains

Data domains

The topics we collect data on, the questions the data answers, and the best places to start.

Heat & cooling

Heat stress, urban heat islands, cooling measures and the buildings and people most at risk.

Questions this data helps answer

  • Where are the heat-stress hotspots, and who lives or works there?
  • Which cooling measures work, such as shade, greenery and ventilation, and at what cost?
  • How many hot days and tropical nights should a place prepare for?

What we collect

  • Heat exposure by area: hot days, surface temperature, heat-island effect
  • Cooling measures and their measured effect
  • Commitments by organisations to cool homes, workplaces and public space

In the data model: Aspiration, Commitment, Location, Governance & resilience.

Good places to start

Paid or restricted options

Water & flooding

Flood and drought risk, water quality and use, and how water is governed and shared.

Questions this data helps answer

  • Which areas face flooding or water shortage, now and later?
  • Who uses how much water, and where could it be reused?
  • Who decides on water in an area, and how can others take part?

What we collect

  • Flood, drought and water-stress indicators by area
  • Water use, reuse and quality data
  • Water governance arrangements and public commitments

In the data model: Aspiration, Commitment, Location, Governance & resilience.

Good places to start

Paid or restricted options

Supply chains & industry

Trade dependencies, disruptions, circular materials, and buildings, machines and skills that can be reused.

Questions this data helps answer

  • Which products and materials depend on a few countries or suppliers?
  • Which sites, machines or skills come free when an activity stops?
  • Where could that freed capacity meet a new need?

What we collect

  • Trade and dependency indicators
  • Stop-to-start handoffs: what stops, and what it frees
  • Idle or partly idle sites and equipment offered for reuse

In the data model: Commitment, Property, Supply-chain restructuring.

Good places to start

Paid or restricted options

Work with AI & robotics

How organisations adopt AI and robotics, how teams work with them, and what that means for jobs and skills.

Questions this data helps answer

  • How fast are sectors adopting AI and automation?
  • Which tasks do teams hand to AI, and who checks the output?
  • Which skills and jobs grow, and which shrink?

What we collect

  • Adoption stage by sector and organisation size
  • Human oversight and team practices with AI
  • Skills and workforce effects

In the data model: Actor, AI & robotics engagement.

Good places to start

Paid or restricted options

Participation & public services

How people take part in decisions, and how well public services, online and offline, work for them.

Questions this data helps answer

  • Which participation methods work in which setting?
  • How easy are public services to find and use online?
  • Where do people feel unheard?

What we collect

  • Participation cases and methods, with their outcomes
  • Online public service quality indicators
  • Public commitments by organisations to involve people

In the data model: Actor, Relation, Governance & resilience.

Good places to start

Paid or restricted options

Migration & inclusion

Movement of people, displacement, and how newcomers find housing, work and a place in society.

Questions this data helps answer

  • Where do people move from and to, and why?
  • How quickly do newcomers find work and housing?
  • Which local initiatives help, and what do they need?

What we collect

  • Migration and displacement statistics
  • Inclusion indicators: work, housing, language
  • Local initiatives with their offers and needs

In the data model: Aspiration, Actor, Commitment.

Good places to start

Paid or restricted options

Property, assets & investment

Land, buildings, company and insolvency registers, and investment flows, including in emerging markets.

Questions this data helps answer

  • Which buildings and sites are idle or under-used?
  • Which organisation is behind an asset, and is it financially healthy?
  • Where does investment flow, and where is it missing?

What we collect

  • Idle and reusable property owned by organisations
  • Organisation identifiers and ownership links
  • Investment pledged or sought, with ticket size and return logic

In the data model: Property, Investment, Actor.

Good places to start

Paid or restricted options

Aspirations & community

What communities and organisations want to change and by when, who commits to it, and how wellbeing develops.

Questions this data helps answer

  • What do people and organisations want to change in their area, and by when?
  • Who can help: doers, funders, knowledge holders or users?
  • How do wellbeing and trust develop over time?

What we collect

  • Dated aspirations with place, scale and target year
  • Public commitments to start, maintain or stop something
  • Wellbeing and liveability indicators

In the data model: Aspiration, Commitment, Match.

Good places to start

Paid or restricted options

Working on one of these topics?

Add your aspiration or commitment, or share the data you hold. It helps others find partners and evidence.