课题基金 / 基金详情

NeoEco for Net Zero: A tool for accountants to deliver scientifically robust environmental impact measurement, forecasting, and mitigation

NeoEco for Net Zero: A tool for accountants to deliver scientifically robust environmental impact measurement, forecasting, and mitigation
NeoEco for Net Zero:会计师提供科学可靠的环境影响测量、预测和缓解的工具
批准号:
10046296
负责人:
金额:
$6.35万
依托单位:
依托单位国家:
英国
项目类别:
Grant for R&D
财政年份:
2022
资助国家:
英国
项目状态:
已结题
起止时间:
2022 至 --

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Accountants act as a conduit for financial data for small and medium-sized enterprises (SMEs). Over 90% of accountants agree they want to do more within sustainability action (ACCA 2021), SMEs also represent around 90% of businesses worldwide, and are key actors in the journey to net-zero (ACCA 2021). For SMEs, supply chain emissions are 11.4x higher than operational emissions (CDP 2021) and they often have no approach to measure or mitigate these impacts. _The NeoEco tool allows accounting data to be integrated with (scientifically robust) environmental impact calculation methodologies, to generate environmental insights (climate change, water related impacts, biodiversity impacts), forecast future impacts, and create strategies for impact reduction._By taking advantage of existing accounting approaches (QA/QC, evidence collection etc.) and integrating this with best-in class environmental impact methodologies, the NeoEco tool can deliver a step change to the accuracy of impact calculations, as well as providing a low barrier to entry for SMEs to understand what actions are required to conform and be aligned to net zero and broader environmental impact reduction.NeoEco will prototype a scalable, commercially viable tool with widespread potential application across the accounting sector. Its 'Neo.Eco' software will use readily available accounting data (via APIs connecting to book-keeping software like Sage/Quickbooks/Xero) underpinned by a large, proprietary high-resolution Life-Cycle-Assessment (LCA) database/calculator.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
基于3D nnU-Net网络及MRI背景实质强化的乳腺癌 分子亚型预测模型的构建和验证
  • 批准号:
    2026JJ81673
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2026
  • 负责人:
    罗光华
  • 依托单位:
基于U-net和Transformer的深度学习模型构建非增强CT急性缺血性脑卒中核心梗死区可视化分割系统
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
    黄业超
  • 依托单位:
免造影剂增强心脏CT技术:深度学习GAN与U-Net架构的融合应用
  • 批准号:
    2025JJ80644
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
    邓喜成
  • 依托单位:
NET介导乳腺癌新辅助化疗患者围术期血管内皮损伤的机制探讨
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
    孔令晖
  • 依托单位: