Conservation and food security

A map and a model only matter if they reach a decision. Our research on conservation and food security is about that translation step — how ecological evidence becomes a decision that someone takes seriously.

Food, water, and biodiversity are not separate questions. The systems that feed people share land, water, and climate with the systems that hold life together. Studying them apart misses how they actually behave.

What we study

• Protected areas and restoration. What good monitoring looks like for parks, reserves, and restoration sites — and how communities and rangers can be partners in that monitoring, not subjects of it.
• Fisheries and ocean stewardship. Sustainable harvest, marine protected areas, and the long line between a satellite signal and a vessel on the water.
• Water security. Watersheds, groundwater, river flow, drought risk, and the quiet ecology of freshwater systems. AI helps with forecasting and pattern detection; the work is making those forecasts trustworthy enough for the people who drink, irrigate, and depend on the water.
• Food production and agroecology. AI for resilient agriculture — soil health, pollinator presence, crop stress, pest and disease early warning, climate adaptation. Designed with farmers, pastoralists, and food-system planners, not for them.
• Decision support. Tools that turn evidence into something a working ministry, NGO, or community council can act on, without burying them in jargon.

How we approach it

We design with practitioners. The work has to land in the hands of people running fisheries, restoration projects, watershed councils, farms, and food-system programs — or it has not landed at all.

Read next

• Monitoring ecosystems in real time — the evidence side.
• Valuing nature, biodiversity, and community work — making the work visible.
• Open data and open collaboration — how we work with the people closest to the ground.