RII Track-1: Harnessing the Data Revolution for Vermont: The Science of Online Corpora, Knowledge, and Stories (SOCKS)

RII Track-1：利用佛蒙特州的数据革命：在线语料库、知识和故事的科学 (SOCKS)

• 批准号: 2242829
• 负责人: Kirk Dombrowski
• 金额: $ 2000万
• 依托单位: University of Vermont & State Agricultural College
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-06-01 至 2028-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2242829&HistoricalAwards=false
• 关键词: RII; Track; Harnessing; Data; Revolution; RII; Track; Harnessing; Data; Revolution

"Distant reading" involves the use of computational methods to analyze literary texts. It is a concept with enormous unrealized potential. For example, no individual can read 100 million tweets or a century's worth of literature or all the New York Times articles ever written. However, by scaling up and harnessing data, a distant reading system can be created that does. The "Science of Online Corpora, Knowledge, and Stories" (SOCKS) project will undertake a grand challenge. The challenge will entail the construction and broad application of distant reading to advance the computational social sciences and digital humanities in the age of massive text-as-data online, in the same way that telescopes and microscopes have done for the physical and life sciences. This research capacity will assist in answering some enduring questions. How do ecologies of stories evolve? What insights can be derived from providing social scientists and humanities scholars with new computational instruments reflecting language use in their domain? To answer these questions and enable new programs of computationally aided research, SOCKS will advance a data-driven, computational, "science of stories." SOCKS tools will harness the data revolution by supporting transdisciplinary research in data science, computational social science, digital humanities, and complex systems. SOCKS will be administered by the University of Vermont & State Agricultural College in collaboration with five predominantly undergraduate universities: Champlain College, Middlebury College, Norwich University, Saint Michael's College, and Vermont Technical College. SOCKS will advance initiatives grounded in principled theory and methods through the quantitative measurement of sentiment and stories across a diverse portfolio of corpora. New insights into the power and use of stories and narratives will be provided across a broad array of social, economic, and health domains through integrated data and teams. Stories are fundamental to how people comprehend, explain, and potentially shape their lives, the lives of others, and the world around them. Yet despite the power of stories, academic interest across many disciplines, and abundant online text-based corpora, a commensurate and accessible scientific platform for the measurement of stories that can support economies and communities, shape regional business strategy, and inform public policy is lacking. Building on the existing research infrastructure designed to measure and describe the shapes of stories within specific domains through meaning, characters, events, and narratives, new tools will extend n-gram analysis to the study of story-arcs and plots, and to apply theory-driven analysis to the study of stories and characters. Impacts from these data instruments will describe stories in an array of spaces including literature, mental health, public health, climate change, local and regional news media, immigration, and social media to discover plot lines, sentiment, new angles for digital marketing, and conspiratorial or mis-information campaigns. The platform will function in near real-time for social media and news; retrospectively for digitized literature, archival documents, and other recorded texts; and will extend to any evolving complex system comprising distinct narrative components. SOCKS will train the next generation of students in Vermont in complex systems and data science, computational social science, and provide teacher training for computer and data science to secure the long-term future of Vermont's technology industry and its associated economy.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.

“遥远的阅读”涉及使用计算方法来分析文学文本。这是一个具有巨大未实现潜力的概念。例如，没有人可以阅读1亿条推文或一个世纪的文学或纽约时报有史以来的所有文章。但是，通过扩展和利用数据，可以创建一个遥远的阅读系统。 “在线语料库，知识和故事的科学”（袜子）项目将面临巨大的挑战。面临的挑战将需要远距离阅读的建设和广泛应用，以推动大规模文本与数据的计算社会科学和数字人文科学在线时代，就像望远镜和显微镜为物理和生活科学所做的那样。该研究能力将有助于回答一些持久的问题。故事的生态如何发展？从为社会科学家和人文学者提供了反映其领域语言使用的新计算工具，可以从哪些见解中获得什么见解？为了回答这些问题并启用了新的计算辅助研究计划，袜子将推进数据驱动的，计算的“故事科学”。 袜子工具将通过支持数据科学，计算社会科学，数字人文和复杂系统的跨学科研究来利用数据革命。 袜子将由佛蒙特大学与州农业学院与五所主要是本科大学合作：尚普兰学院，米德尔伯里学院，诺里奇大学，圣迈克尔学院和佛蒙特州技术学院。 袜子将通过对多种多类公司组合中的情感和故事进行定量测量，以原则性理论和方法为基础。 通过综合数据和团队，将在广泛的社会，经济和健康领域中提供有关故事和叙述的力量和使用的新见解。故事是人们如何理解，解释和可能塑造自己的生活，他人的生活以及周围世界的基础。然而，尽管有故事的力量，许多学科的学术兴趣以及丰富的在线文本语料库，这是一个衡量可以支持经济和社区的故事，塑造区域业务策略的衡量故事，并缺乏通知公共政策的故事。在现有的研究基础设施的基础上，旨在通过含义，角色，事件和叙述来衡量和描述特定领域中故事的形状，新工具将将N-Gram分析扩展到对故事 - 弧线和情节的研究，并将理论驱动的分析应用于故事和角色的研究。这些数据工具的影响将在许多空间中描述故事，包括文献，心理健康，公共卫生，气候变化，本地和地区新闻媒体，移民和社交媒体，以发现情节线，情感，新的数字营销角度以及阴谋或误解活动。该平台将在社交媒体和新闻中实时实时运行；回顾性的数字化文献，档案文件和其他记录的文本；并将扩展到任何不断发展的复杂系统，包括不同的叙事组成部分。 袜子将在佛蒙特州的下一代学生培训复杂的系统和数据科学，计算社会科学的下一代学生，并为计算机和数据科学提供教师培训，以确保佛蒙特州技术行业及其相关经济的长期未来。该奖项反映了NSF的法定任务，并通过评估该基金会的知识分子功能和广泛的影响来审查Criteria，并通过评估来进行评估。