I-Corps: Trackable Reasoning and Analysis Software for Collaboration and Evaluation

这个I-Corps项目更广泛的影响/商业潜力是开发一个软件应用程序，情报分析人员可以使用它来提高其分析的质量和准确性。批判性推理中的错误对数据分析是有害的。此外，报告往往不能让读者清楚地了解分析师的工作，这可能导致决策失误。过去处理这些问题的办法取得的成功有限，没有涵盖分析过程的每一步。所提出的技术提供了一个更灵活的推理方法，通过识别关键信息，确定最佳的前进路径，并组成一个高质量的最终报告，增强了分析师的推理，并为决策者提供了一个清晰的分析过程。通过将拟议的技术转化为商业上可行的应用，可以减少情报失误的可能性，因为决策者可以获得必要的分析，以推行促进国家安全的政策和战略。该应用程序还可以作为其他研究和商业技术的基础，这些技术旨在帮助在其他领域工作的分析师，例如执法，取证，企业安全，保险和金融。这个I-Corps项目建立在该团队之前关于开发最先进技术的研究基础上，以帮助国家情报分析师更好地进行推理和撰写报告。情报分析师经常努力确保他们的研究和推理避免关键错误，例如认知偏见。过去解决错误的方法受到限制，因为分析师发现它们负担沉重且缺乏吸引力。 目前的方法并不包括分析过程中的每一步。所提出的方法代表了一个端到端的工作流解决方案，它提供了一个更灵活的推理方法，通过识别关键信息，确定前进的路径，并组成一个高质量的最终报告，为决策者提供了一个清晰的感觉分析师的过程。该技术提供了报告模板和几个可选工具，帮助分析人员处理和评估信息，将他们的记忆和推理工作转移到应用程序中，并轻松地与合作者分享推理。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。

The broader impact/commercial potential of this I-Corps project is the development of a software application that intelligence analysts can use to improve the quality and accuracy of their analyses. Errors in critical reasoning are detrimental to data analyses. Furthermore, the reports often do not provide readers with a clear sense of the analyst's work, which can result in poor decision-making. Past approaches to address these issues have had limited success and do not cover each step in the analytical process. The proposed technology offers a more flexible reasoning approach by identifying key information, determining the best path forward, and composing a quality final report that enhances the analysts' reasoning and provides decision-makers with a clear sense of the analyst's process. By transforming the proposed technology into a commercially viable application, the likelihood of intelligence failures could be reduced as decision-makers access the necessary analyses to pursue policies and strategies that promote national security. This application could also serve as the foundation for additional research and commercial technologies oriented towards helping analysts working in other fields, such as law enforcement, forensics, corporate security, insurance, and finance.This I-Corps project builds from the team's prior research on developing a state-of-the-art technology to help national intelligence analysts engage in better reasoning and report writing. Intelligence analysts often struggle to ensure that their research and reasoning avoid critical errors, such as cognitive biases. Past approaches to address errors have had limited uptake because analysts find them burdensome and unappealing. Current approaches do not cover each step in the analytical process. The proposed approach represents an end-to-end workflow solution, that offers a more flexible reasoning approach by identifying key information, determining the path forward, and composing a quality final report that provides decision-makers with a clear sense of the analyst's process. This technology offers report templates and several optional tools that help analysts process and evaluate information, offload their memory and reasoning work to the application, and share that reasoning effortlessly with collaborators.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.