Monitoring and prediction of biodiversity loss with the use of artificial intelligence

利用人工智能监测和预测生物多样性丧失

• 批准号: 2744960
• 金额: --
• 依托单位: University of Birmingham
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2744960
• 关键词: Monitoring; prediction; biodiversity; loss; use

This project will build upon the lack of understanding of interlinked processes underpinning ecosystem services and biodiversity loss. It will use several datasets already available, including those from the University of Birmingham in DNA (biocomputing), climate change data from the Alan Turing Institute (climate change analysis) and a range of environmental and ecological data collected by the Environment Agency (forecasting with artificial intelligence). There will be several physical products created for the Environment Agency to use, these are referred to as emulators and they can be used to support climatic scenario forecasting and how these scenarios will negatively impact on biodiversity. There is also a major focus on knowledge exchange between the supervisory institutions and the Environment Agency with the ambition to train staff in the skills learned focusing on data science techniques.

该项目将立足于对支撑生态系统服务和生物多样性丧失的相互关联进程缺乏了解的情况。它将使用现有的几个数据集，包括来自伯明翰大学的DNA（生物计算），来自艾伦图灵研究所的气候变化数据（气候变化分析）以及环境局收集的一系列环境和生态数据（人工智能预测）。将为环境署创建几个物理产品，这些产品被称为模拟器，它们可用于支持气候情景预测以及这些情景将如何对生物多样性产生负面影响。监督机构和环境署之间的知识交流也是一个主要重点，其目标是培训工作人员掌握数据科学技术方面的技能。