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

该项目将设计互动、综合的数字图书馆/档案系统，并配以链接的和专家管理的网页/推特收藏品，涵盖1997-2020年时间表的关键部分，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、灾害、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、核能、人口增长、复原力、枪击、可持续性、暴力等有关的内容和来源。学者、公众和K-12学生研究和解决重要全球问题将通过量身定制的界面和重要的集合得到加强，这些重要集合将成为了解现代世界及其挑战以及倡议、趋势、和解决方案。研究将扩展建模趋势、事件和来源的工作，以指导重点爬行、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元语法、主题、概念和语言模型扩展。这项研究将使知识库的有效组装、界面的快速原型制作、高精度和高召回率的收集/整理以及支持研究和学习的灵活发现成为可能。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、机器学习和有价值的交互/协作界面的构建。欲了解更多信息，请访问该项目的网站，网址为EventsArchive.org。

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.