III: Small: Collaborative Research: Global Event and Trend Archive Research (GETAR)

III：小型：协作研究：全球事件和趋势档案研究 (GETAR)

• 批准号: 1619371
• 负责人: Jefferson Bailey
• 金额: $ 5.4万
• 依托单位: Internet Archive
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1619371&HistoricalAwards=false
• 关键词: III; Small; Collaborative; Research; Global

This project will devise interactive, integrated, digital library/archive systems coupled with linked and expert-curated webpage/tweet collections, covering key parts of the 1997-2020 timeframe, supporting research on urgent global challenge events and initiatives. It will allow diverse stakeholder communities to interactively collect, organize, browse, visualize, study, analyze, summarize, and explore content and sources related to biodiversity, climate change, crises, disasters, elections, energy policy, environmental policy/planning, geospatial information, green engineering, human rights, inequality, migrations, nuclear power, population growth, resiliency, shootings, sustainability, violence, etc. Studying and addressing important global issues, by scholars, the public, and K-12 students, will be enhanced through tailored interfaces coupled with important collections that will be primary resources for understanding the modern world and its challenges, as well as initiatives, trends, and solutions.Research will extend work on modeling trends, events, and sources, to guide focused crawling, information extraction, tagging, and collaboration. Domain experts will leverage rich event models, exploiting the generality of the 5S framework (Societies, Scenarios, Spaces, Structure, Streams), extending from word, n-gram, topic, concept, and language models. This research will enable efficient assembly of knowledge bases, rapid prototyping of interfaces, gathering/curation of collections with high precision and recall, and flexible discovery in support of research and learning. Interdisciplinary research advances will address digital humanities, web archiving, information retrieval, natural language processing, machine learning, and the construction of valuable interactive/collaborative interfaces. For further information see the project web site at eventsarchive.org.

该项目将设计交互式、集成的数字图书馆/档案系统，加上链接和专家策划的网页/推文集合，涵盖 1997-2020 年时间范围的关键部分，支持对紧急全球挑战事件和倡议的研究。它将允许不同的利益相关者社区以交互方式收集、组织、浏览、可视化、研究、分析、总结和探索与生物多样性、气候变化、危机、灾难、选举、能源政策、环境政策/规划、地理空间信息、绿色工程、人权、不平等、移民、核电、人口增长、复原力、枪击、可持续性、暴力等相关的内容和来源。研究和解决重要问题 学者、公众和 K-12 学生对全球问题的了解将通过定制界面和重要馆藏得到加强，这些馆藏将成为了解现代世界及其挑战、倡议、趋势和解决方案的主要资源。研究将扩展对趋势、事件和来源建模的工作，以指导有针对性的抓取、信息提取、标记和协作。领域专家将利用丰富的事件模型，利用 5S 框架（社会、场景、空间、结构、流）的通用性，从单词、n-gram、主题、概念和语言模型进行扩展。这项研究将实现知识库的高效组装、界面的快速原型设计、高精度和召回性集合的收集/管理以及支持研究和学习的灵活发现。跨学科研究进展将涉及数字人文、网络存档、信息检索、自然语言处理、机器学习以及有价值的交互式/协作界面的构建。有关更多信息，请参阅项目网站 eventsarchive.org。