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

该项目将建立在对支撑生态系统服务和生物多样性丧失的相互关联的过程缺乏了解的基础上。它将使用已有的几个数据集，包括伯明翰大学的DNA数据集(生物计算)、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(使用人工智能进行预测)。将有几种实物产品可供环境署使用，这些产品被称为仿真器，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。还将重点放在监督机构和环境署之间的知识交流上，其雄心是培训工作人员所学的技能，重点是数据科学技术。

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.