What we create with Policy makers

With the US State Department and AgMIP, we built this data exploration to address food security in Africa through investment in resilient, nutritious indigenous crops suited to the changing climate.

The Groundwater Recharge Assessment Tool (GRAT) plays a key role in securing the future of agriculture as we grapple with a drier, hotter future caused by climate change.

We worked with Conservation International to explore using AI to build a specialized advisor that translates complex biodiversity standards and processess into clear, actionable steps for framework selection, project design, and monitoring.

With Internet of Water and The Commons, we transformed nearly two million NOAA storm records into a discoverable platform for decision-makers nationwide.

The Plotline is a collection of digital products focused on the intersection of Food and Climate. It brings together a community of data scientists, designers, and creative technologists on a mission to help create a food system rooted in data and designed to be resilient in the face of climate change.

Amazon Mining Watch uses machine learning to map the scars of mining activities in the Amazonian countries.

Earth Index, a search tool for the environment, harnesses satellite imagery and machine learning to extract an area's "genetic signature." Obtain insights in a day, instead of months.

Using AI and Machine Learning to identify plastic waste before they enter our oceans.

Working with The Circulate Initiative, we redesigned The Plastic Lifecycle Assessment Calculator for the Environment and Society (PLACES), which helps assess the climate impact of current waste management practices — from open burning to recycling — in South and Southeast Asia (SSEA) and Latin America and the Caribbean (LAC).

Clean Air Task Force closely analyzed Clean Electricity Standards across a dozen states to help other states adapt policies to suit their local needs. Earth Genome built this interactive map to make this complex knowledge as accessible as possible.