
Why and how business leaders should include air quality in decision-making
Forward-thinking companies make air quality a core strategy: boosting health, resilience and brand trust – gaining an edge in sustainability leadership.
Will holds a PhD and postdoctoral research from Imperial College London, on air quality measurements and modelling. His research includes modelling whether the UK can meet the WHO PM2.5 target of 10 μg/m3 by 2030 and simulating the change of brake wear PM emissions through powertrain electrification in passenger vehicles.
Forward-thinking companies make air quality a core strategy: boosting health, resilience and brand trust – gaining an edge in sustainability leadership.
人工智能(AI)通过分析来自传感器、卫星乃至众包数据的大型复杂数据集,改进了我们发现和预测城市空气污染的方法。AI工具有针对性地提供有关污染暴露的信息,使人们能够在日常生活中做出更健康的选择。尽管AI拥有巨大的潜力,但其部署必须具有包容性且合乎道德。如果未能谨慎实施,AI可能加剧现有的不平等现象,尤其是在服务不足的地区。
La IA está revolucionando la forma de abordar la contaminación atmosférica en las ciudades, mejorando la vigilancia, empoderando a los ciudadanos y orientando una planificación más inteli...
AI is revolutionizing how cities tackle air pollution, enhancing monitoring, empowering citizens and guiding smarter, fairer urban planning for cleaner air.
Cities, innovation and funding are driving clean air worldwide, cutting pollution, saving lives and using tech to track and tackle air quality issues.
スポーツは、そのグローバルな影響力を活かして持続可能性を推進し、人々を団結させ、行動を鼓舞します。データに基づく洞察は、パフォーマンスと持続可能性を最適化し、スポーツとイノベーションを結び付けます。アスリートに影響を与える大気の質が、環境の健全性と個人の幸福や行動を結び付けます。
El deporte inspira acciones sostenibles. Los datos pueden optimizar el rendimiento y la sostenibilidad y abordar los impactos dañinos en la calidad del aire.
Sport inspires action toward sustainability. At the same time data can optimize performance and sustainability and address harmful air quality impacts.