GEF announces winners of first innovation window funds

The Global Environment Facility has selected seven projects as winners of its first Innovation Window, which will provide $12.3 million in grants to initiatives that test and pilot new solutions to stubborn challenges, from improving food systems to protecting wild cat habitats. The Innovation Window program was launched as part of the GEF’s eighth funding cycle, to support and help road-test novel approaches, tools, and business models for complex problems related to biodiversity, climate change, pollution, and inter-related areas, engaging new and varied partners. “The Innovation Window is a new and unique opportunity for the GEF to support highly innovative ideas together with partners from the private sector, civil society, academia, and leading research institutions,” said Carlos Manuel Rodríguez, CEO and Chairperson of the GEF. “We are looking forward to boosting technologies, policies, and business models that can enhance the impact of the GEF’s funding to deliver global environmental benefits at scale and support a systems change towards societies and economies that are nature-positive, low-carbon, and pollution-free.”
The winning projects were chosen from an initial pool of 128 applications and cover a wide range of issues in finance, behavior change, systems transformation, technology, and tools. Winners include a project that seeks to accelerate collaborative and adaptive approaches to address complex environmental challenges, focusing on the link between food, biodiversity, and climate. Another winning project will develop a comprehensive guidance on finance for nature-positive, with a framework to be used by investors, banks, and insurers. Five of the projects are global in their reach, one focuses on Latin America and one on Africa. The Africa project will pioneer innovative approaches to food systems transformation. The Latin America project will help protect jaguar conservation along a vast stretch of land – known as the Jaguar Corridor – through a satellite and automated cloud-based monitoring and assessment system