
Climate intelligence
Adaptation, resilience, hazard exposure, climate risk, blue carbon, land use, and energy transition.





Impact Intelligence Lab is an independent research and intelligence lab applying data, AI, and systems thinking to the most pressing environmental and social challenges. The lab builds public-facing knowledge products, decision tools, and open intelligence infrastructure with the institutions and communities that use them.
Five interconnected intelligence domains guide the lab's research, tools, and partnerships.

Adaptation, resilience, hazard exposure, climate risk, blue carbon, land use, and energy transition.
Open government data, civic participation metrics, public service delivery analysis, electoral integrity, budget transparency, and open contracting.

Poverty dynamics, health equity, food security, education access, and gender equity — measured through open data, applied research, and field evidence.

Biodiversity, ecosystem services, water systems, land degradation, and ocean health — beyond carbon toward a fuller systems view.

Development finance flows, climate finance tracking, impact investment monitoring, blended finance transparency, SDG financing gaps.
Important decisions about environmental and social change are still made with fragmented data, opaque models, and tools that were never meant for public scrutiny. The lab exists to close that gap through rigorous methods, readable outputs, and interfaces that make evidence usable where decisions actually happen.

The work combines structured data, applied research, statistical and machine-learning methods where appropriate, contextual analysis, and field insight from practitioners, communities, and partners. Every major output is designed to stand on its own and connect to the wider evidence base — reports link to data, tools link to methods, and programs link to published research.
To advance practical decision support for environmental and social change through open, rigorous, and mission-driven intelligence.
Project-based collaborations, publishable research, and reusable public tools — prioritizing transparency, reproducibility, and partner fit over generic deliverables.
Important decisions about environmental and social change are still made with fragmented data, opaque models, and tools that were never meant for public scrutiny. The lab exists to close that gap through rigorous methods, readable outputs, and interfaces that make evidence usable where decisions actually happen.
The work combines structured data, applied research, statistical and machine-learning methods where appropriate, contextual analysis, and field insight from practitioners, communities, and partners. Every major output is designed to stand on its own and connect to the wider evidence base — reports link to data, tools link to methods, and programs link to published research.
To advance practical decision support for environmental and social change through open, rigorous, and mission-driven intelligence.
Project-based collaborations, publishable research, and reusable public tools — prioritizing transparency, reproducibility, and partner fit over generic deliverables.