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Meeting 30 x 30 and the Paris Agreement: An inclusive framework leveraging digital solutions for effective nature-based solutions in Canada

Meeting 30 x 30 and the Paris Agreement: An inclusive framework leveraging digital solutions for effective nature-based solutions in Canada
会议 30 x 30 和《巴黎协定》:利用数字解决方案在加拿大提供有效的基于自然的解决方案的包容性框架
批准号:
571271-2021
负责人:
Ubalijoro, ElianeELIA
金额:
$10.32万
依托单位:
依托单位国家:
加拿大
项目类别:
Alliance Grants
财政年份:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31

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中文摘要
翻译
气候变化对加拿大的影响尤为严重,导致该国的变暖速度比全球平均速度快两倍,加拿大北部的变暖速度比全球平均速度快三倍。加拿大必须致力于扭转这一趋势,实现其到2030年(30x30)保护30%陆地和海洋的全球承诺,并在2050年前实现净零排放的目标。幸运的是,作为人工智能和机器学习领域的世界领导者,加拿大有能力驾驭新的数字和数据驱动型经济的变革潜力,以解决气候挑战。在此背景下,微软和我们的申请团队建立了合作伙伴关系,目标是通过应用人工智能(AI)和数字工具,以公正、公平和包容的方式探索实现加拿大全球环境承诺的机遇和挑战。这种伙伴关系有一个明确的目标,即探索社会公平、数据所有权以及土著对自然和技术的概念,作为任何拟议的数字解决方案的基础。我们对这一伙伴关系的预期结果是一个共同设计的多组件框架,它将被许多利益相关者创建并使用,包括a)政府:指导公共和行业气候行动战略的决策和监测,包括采掘活动;b)行业:指导对碳抵消计划和温室气体减排战略的投资c)土著人民和地方社区(IPLC):实现数据所有权,增强土地管理能力,保护知识系统和生计。
英文摘要
Climate change is disproportionately affecting Canada, causing the country to warm two times faster than theglobal average and three times faster in Canada's North. Canada must aim to reverse this trend by meeting itsglobal commitments to protect 30% of land and sea by 2030 (30x30), and reach its target of net-zero emissionsby 2050.Fortunately, as a world-leader in artificial intelligence (AI) and machine learning, Canada is well-positioned tosteer the transformative potential of the new digital and data-driven economy, towards solving the climatechallenge. With this context as background, a partnership between Microsoft and our applicant team wasformed, with the goal to explore the opportunities and challenges of meeting Canada's global environmentalcommitments in a just, equitable, and inclusive manner, through the application of artificial intelligence (AI)and digital tools. This partnership has an explicit objective to explore dimensions of social equity, dataownership, and Indigenous conceptions of nature and of technology, as a foundation for any proposed digitalsolution.Our expected outcome for this partnership is a co-designed, multi-component framework It will be created andthus used by many stakeholders including a) government: to guide decisions on, and monitoring of, public andindustry climate action strategies including extractive activities, b) industry: to guide investments in carbonoffset programs and GHG emission reduction strategies c) Indigenous Peoples and Local Communities (IPLC):to enable data ownership, empower land management and preserve knowledge systems and livelihoods.
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