Using IoT and Machine Learning to Help Protect Kenya’s Rivers

The Ewaso Nyiro River in Kenya

Case Study: Increased demand for water to irrigate crops alongside reduced rainfall and land degradation in the catchment area have led to water shortage and conflict between the users of a river’s water. To ensure equitable distribution of this resource effective monitoring of the river is essential. They plan to incorporate multiple data sources such […]

Using Simulated Data to Generate Images of Climate Change (LVL 4)

picture of Barack Obama next to altered image of a whitened Obama

Case Study: Explores the potential of using images from a simulated 3D environment to improve a domain adaptation task carried out by the MUNIT architecture, aiming to use the resulting images to raise awareness of the potential future impacts of climate change. The case study aims to develop an interactive website that, given a user-entered […]

Why the Climate Change AI Community Should Care About Weather: A New Approach for Africa (LVL 4)

Headshots of members of the climate change AI community

Case Study: Community-level perspective of the game-changing socio-economic value that could be achieved with better forecasts, especially among vulnerable communities. The paper presents a new way to view this opportunity by better understanding the problem, with the goal of inspiring the Climate Change AI community to contribute to this important aspect of the climate adaptation […]

Using Satellite Images and Artificial Intelligence to Improve Agricultural Resilience (LVL 4)

Drone flying over crops in Rwanda

Case Study: Most of Rwanda’s crop production comes from smallholder farms. The country’s agriculture officials have historically had insufficient data on where crops are cultivated or how much yield to expect — a hindrance for government’s future planning. Building on previous work with emerging technologies, machine learning, economics, and agriculture, the paper develops a new […]