A data based platform to provide a deep understanding of the resilience of specific systems, like livestock or agriculture, to environmental and social changes, such as precipitation, temperature or population.
The Resilience Atlas database integrates 12+ terabytes of data from 60+ top datasets, creating user-friendly maps that can shift from regional to national scales and, where the availability and resolution of the data permit, to local scales. People making important investment, development and security decisions can easily see the full picture.
Refers to the ability of a socio-ecological system to withstand, respond to, and adapt to stresses and shocks.
Of socio-ecological stressors and shocks to rural livelihoods, production systems, and ecosystems.
How does natural, human, social, financial, and manufactured capital impact resilience?
Conservation International, funded by the Rockefeller Foundation, aimed to create an analytical tool that provides understandable information to governments, communities, donors, and businesses dealing with challenges like climate change and conflict. They needed the tool to offer insights into the scale of these issues and guide effective interventions and investments in more than 40 countries in Sahel, Horn of Africa, and South/Southeast Asia.
We blend thoughtful data design, user-centric elements, and engaging features to create a tailored software. Thorough discussions on the key questions around “resilience” led us to choose the layers and ensure the datasets provide needed answers and a a prioritized user experience. After optimizing data performance through processing and analysis, we employed Amazon Cloud services for data storage – a dynamic and scalable solution capable of accommodating shifts in user volume and data demands on the website.
The Atlas features a unique "Journeys" component that translates data and maps into an insightful analysis tool, offering an accessible way to comprehend historical trends and future projections. Through these Journeys, the Atlas leads users in exploring their data of interest, encouraging self-guided discovery rather than providing direct answers. This knowledge can be shared via social media links or embedded within their own webpages. An illustrative example is the Ethiopian pastoralists' Journey, which navigates users through maps of their locations and examines stressors like changing rainfall patterns and inadequate investments in human capital, impacting their adaptive capacity and livelihood transformation.