Evidenceto understand
How we work.
Built on evidence.
Research and intelligence
We synthesize public records, reanalysis, projections, and field evidence into intelligence products that support resilience, adaptation, and social policy decisions. Long-run climate baselines — including Copernicus ERA5 from 1940 onward — provide context for heat, rainfall, drought, and related risk signals.
Decision support
We turn methods into usable outputs: reports, maps, briefs, indicators, and tools that support planning, targeting, communication, and review across environmental and social programs. Open Climate Risk shows how public-interest risk data can be made usable at building-level resolution rather than staying trapped in abstract models.
Open methods
Every major output should be explainable. That means documented assumptions, visible data provenance, versioned artifacts, and methods that can be reviewed, challenged, and improved over time.
Data & AI
We apply structured data, statistical and machine-learning methods, and geospatial analysis where context is place-based — connecting climate, land, infrastructure, population, and civic data into evidence layers teams can interpret and defend. Outputs include indicators, models, briefs, and maps — built for use, not presentation alone.
Three steps.
Designed for clarity.
1project.intake({2 decision: 'Adaptation planning',3 region: 'coastal district',4 users: ['agency', 'NGO', 'community'],5 horizon: '6–18 months'6})
Built to connect
data to decisions.
We work across public data, administrative records, partner systems, and field context. The challenge is not only collecting information, but turning it into evidence that is interpretable, defensible, and usable.
Trust is
non-negotiable.
Decisions need confidence. That comes from transparent methods, responsible data handling, and outputs that can be checked rather than simply accepted.
Methods transparency
Clear assumptions, source descriptions, and limitations should sit alongside every major report, model, map, or dataset.
Privacy and stewardship
Partner information should be handled carefully, with practical safeguards, proportionate access control, and respect for context.
Governance by design
Decision support should account for uncertainty, misuse risk, and the consequences of how evidence is interpreted across institutions and communities.
Reproducibility
Documented workflows and versioned outputs make it easier to review results, compare updates, and reuse work without starting from zero.
Built with
the field in mind.
We publish methods and build tools that support real workflows: planning, monitoring, and communication.
Open methods
Readable, reproducible workflows and assumptions.
Partner-ready
Built for collaboration, review, and iteration.
Data stewardship
Practical privacy and responsible handling.
Clear artifacts
Reports, briefs, and tools that are easy to use.
scope.define({decision: 'Program targeting',geography: 'district → community',cadence: 'monthly updates',outputs: ['brief', 'dashboard', 'map']})