SBIR Phase I: A Stakeholder Management Platform for Environmental Justice

SBIR 第一阶段：环境正义的利益相关者管理平台

• 批准号: 2208725
• 负责人: Marcus Griswold
• 金额: $ 25.59万
• 依托单位: CALM WATERS GROUP LLC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-01-15 至 2024-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2208725&HistoricalAwards=false
• 关键词: SBIR; Phase; Stakeholder; Management; Platform

The broader impact/commercial impact of this Small Business Innovation Research Phase I project is to break the negative feedback loop of multi-generation, multi-sector cascading impacts of environmental and social injustices by providing effective tools for engagement of underserved communities. The tide is turning as Environmental Justice policies are increasingly being adopted by governments at the federal, state, county, and regional levels - to explicitly and meaningfully engage underserved communities early and often in all regulatory and planning phases. This project addresses the initial challenges around automating the process of identifying, building trust with, and elevating community-based organizations and underserved communities with the goal of accelerating the implementation of equitable climate-smart infrastructure projects. The proposed innovation will help agencies scale up their reach, accuracy, and efficiency of community engagement, establish and build trust with underserved communities, and accelerate community participation in planning and infrastructure projects throughout the United States. The project helps community leaders raise their voice and visibility with agencies, gain access to timely information across different agencies, and gain access to funding opportunities. Successfully implementing this project has the potential to reduce cost burdens on communities, while also supporting economic empowerment in communities where the project is deployed. This Small Business Innovation Research Phase I project will demonstrate feasibility of using TextAI (Natural Language Processing using Artificial Intelligence (AI)) and GeoAI (Geographic Information Systems using AI) to perform location-based stakeholder discovery of Community Based Organizations (CBOs). This goal poses technical challenges: high variation in unstructured data; quality of manual annotations; complexity and diversity of attributes; and disambiguation of location identification and social challenges. The communities of interest have low trust in the government and technology and need transparent data sharing and ethics. The key innovation is a workflow that combines deep technology development with participatory and inclusive co-design with community-based organizations and government. If the project succeeds, it will have substantial payback for underserved communities. The first use case is with the San Francisco Bay Conservation and Development Commission, which has the right size and scope of jurisdiction to capture variations in data type, stakeholders, and users - and includes a highly diverse set of demographics across urban and rural communities - while also being small enough to manage its data.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该小企业创新研究第一阶段项目的更广泛影响/商业影响是通过为服务不足的社区提供有效的参与工具，打破环境和社会不公正对多代、多部门级联影响的负反馈循环。随着联邦、州、县和地区各级政府越来越多地采用环境正义政策，这种趋势正在发生转变，以便尽早并经常在所有监管和规划阶段明确、有意义地让服务不足的社区参与进来。该项目解决了围绕社区组织和服务不足社区的识别、建立信任和提升过程自动化的最初挑战，目标是加速实施公平的气候智能型基础设施项目。拟议的创新将帮助各机构扩大社区参与的范围、准确性和效率，与服务不足的社区建立和建立信任，并加速社区参与美国各地的规划和基础设施项目。该项目帮助社区领导者提高他们在机构中的声音和知名度，获得不同机构的及时信息，并获得融资机会。成功实施该项目有可能减轻社区的成本负担，同时也支持项目部署所在社区的经济赋权。 该小型企业创新研究第一阶段项目将展示使用 TextAI（使用人工智能 (AI) 的自然语言处理）和 GeoAI（使用 AI 的地理信息系统）对社区组织 (CBO) 进行基于位置的利益相关者发现的可行性。这一目标带来了技术挑战：非结构化数据的高度变化；手动注释的质量；属性的复杂性和多样性；消除位置识别和社会挑战的歧义。 利益群体对政府和技术的信任度较低，需要透明的数据共享和道德规范。关键的创新是将深度技术开发与社区组织和政府的参与性和包容性协同设计相结合的工作流程。如果该项目成功，将为服务不足的社区带来丰厚的回报。第一个用例是旧金山湾保护和发展委员会，该委员会具有适当的规模和管辖范围来捕获数据类型、利益相关者和用户的变化，并包括城市和农村社区高度多样化的人口统计数据 -该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。