I-Corps: Artificial Intelligence driven environmental, social, and governance

I-Corps项目更广泛的影响/商业潜力在于开发一种技术，有助于提高企业在环境、社会和治理实践方面的透明度和问责制。这反过来又可以鼓励企业采取更可持续和负责任的商业做法，从而为环境和社会带来更可持续的未来。此外，通过向投资组合经理提供全面而准确的环境、社会和治理指标，该技术可以帮助推动对致力于可持续和负责任实践的公司的投资。这种投资模式的转变可以进一步鼓励公司优先考虑环境、社会和治理方面的因素，从而形成一个增加环境、社会和治理问责制和可持续性的良性循环。该技术的主要目的是帮助投资组合经理评估公司的环境、社会和治理责任。除了投资顾问，该技术还可以帮助企业改善其环境、社会和治理报告。此外，金融顾问可以从这项技术中受益，因为他们建议并引导客户采用监管机构日益要求的更好的环境、社会和治理报告实践。该技术可以增加脆弱社区的环境和社会责任，并改善全球治理。I-Corps项目以解决现有环境、社会和治理标准问题的技术开发为基础，包括环境、社会和治理知识元模型，该模型由环境、社会和治理分类法和本体组成。该模型分析环境、社会和治理相关文件，包括证券交易委员会报告、环境、社会和治理新闻，以及Twitter和Reddit上的社交媒体帖子，并创建一个带有标签的环境、社会和治理相关数据集。它进一步使用了环境、社会和治理名称、关系提取模型、分类元素的多标签分类，以及环境、社会和治理文本的情感检测。这些模型用于创建环境、社会和治理知识图构建管道，该管道将环境、社会和治理相关的文本转换为知识图。构建的管道用于实时地将公司报告和媒体文档中的文本转换为知识图。该方法使用图形比较算法识别两个来源之间的差异，并报告公司报道与媒体报道之间的差异和不一致之处。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this I-Corps project is the development of a technology that can help increase transparency and accountability in corporations' environmental, social, and governance practices. This, in turn, can encourage corporations to adopt more sustainable and responsible business practices, leading to a more sustainable future for both the environment and society. Moreover, by providing portfolio managers with comprehensive and accurate environmental, social, and governance metrics, the technology can help drive investment toward companies committed to sustainable and responsible practices. This shift in investment patterns can further encourage corporations to prioritize environmental, social, and governance considerations, leading to a virtuous cycle of increased environmental, social, and governance accountability and sustainability. The technology primarily aims to aid portfolio managers in assessing corporations' environmental, social, and governance responsibilities. In addition to investment advisers, the technology can help corporations improve their environmental, social, and governance reporting. Moreover, financial consultants can benefit from the technology as they advise and lead their clients towards better environmental, social, and governance-reporting practices increasingly demanded by regulators. The technology can increase environmental and social responsibilities within vulnerable communities and improve global governance.This I-Corps project is based on the development of technology to address issues with existing environmental, social, and governance standards and includes the environmental, social, and governance Knowledge Meta Model that consists of environmental, social, and governance Taxonomy and Ontology. The model analyzes environmental, social, and governance-related documents, including Securities and Exchange Commission Reports, environmental, social, and governance news, and social media posts from Twitter and Reddit, and creates a labeled environmental, social, and governance-related dataset. It further employs an environmental, social, and governance name, a Relation extraction model, multilabel classification for the taxonomy elements, and sentiment detection for environmental, social, and governance texts. These models are used to create the environmental, social, and governance Knowledge Graph Construction pipeline, which transforms environmental, social, and governance-related text into knowledge graphs. The constructed pipeline is used in real-time to convert texts from company reports and media documents into knowledge graphs. The methodology identifies discrepancies between the two sources using a graph comparison algorithm and reports any differences and inconsistencies between what the company reports and what the media writes.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.