
弥合全球空气质量数据缺口的五项指导原则
空气污染是一项重大环境健康风险,危及人类生命,甚至导致过早死亡,并给全球经济造成约8.1万亿美元的损失。空气质量监测数据是减少空气污染、评估行动成效的关键,但目前仍有36%的国家缺乏此类工具。
Engineer Bainomugisha is a Professor and Chair of Computer Science at Makerere University, Uganda. Through his research work, Engineer is on a mission to harness the transformative power of computational technology and intelligence to tackle complex society challenges for the benefit of humanity.
He has pioneered and led several social impact initiatives including, AirQo (https://www.airqo.africa), a Google AI Impact Challenge winner initiative that leverages AI, IoT and Cloud technologies for environmental air pollution monitoring, modelling and analysis in African cities to foster resilience and healthy urban communities.
He is passionate about advancing high-quality Computer Science education in Africa—that is of sufficient breadth and depth, practical and fast enough, and responsive to the fast-evolving demands of the field.
He is among the founding directors and a Board Member of Sunbird AI (https://sunbird.ai), a not for profit AI for good initiative that develops and deploys practical AI systems for social impact.
Engineer was profiled among Google.org “Global Leaders to Watch” from nonprofits around the world who are building a better future for everyone.
空气污染是一项重大环境健康风险,危及人类生命,甚至导致过早死亡,并给全球经济造成约8.1万亿美元的损失。空气质量监测数据是减少空气污染、评估行动成效的关键,但目前仍有36%的国家缺乏此类工具。
Data for air quality monitoring is key to reducing air pollution and understanding what action works, but one-third of countries still lack such tools.
