Collaborative Research: Center for Historical Information and Analysis (CHIA)

合作研究：历史信息与分析中心 (CHIA)

• 批准号: 1244796
• 负责人: Siddharth Chandra
• 金额: $ 3.81万
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1244796&HistoricalAwards=false
• 关键词: Collaborative; Research; Center; Historical; Information

This project will strengthen the organizational and technical infrastructure of the Center for Historical Information and Analysis (http://chia.pitt.edu), a multi-institutional collaborative of scholars in social, natural, and information sciences structured as a Research Collaborative and a Headquarters. The Research Collaborative links participating institutions that are collecting data on population, climate, and other topics with a crowdsourcing tool to demonstrate the feasibility of building a continuously growing collection of diverse historical data and metadata. The Headquarters assembles and develops knowledge on repository design to develop a repository sufficient to house the incoming data and permit global and interactive analysis. The Center for Historical Information and Analysis?s future plans include expanding its collection and processing of historical data, broadening its community of social and natural science researchers, analyzing historical patterns of global change, and sharing its resources with researchers, policy-makers, teachers and students. CHIA is headquartered at the University of Pittsburgh with participating research groups at Boston University, Harvard University, Michigan State University, and University of California-Merced.To understand global social patterns as they exist today, it is increasingly clear that we need to understand how they have evolved over recent centuries. The Center for Historical Information and Analysis responds to this need and takes historical analysis into the realm of Big Data. It is expected that the data resources will grow to several terabytes in size. This project will stimulate development of more efficient research collaborations, enabling systematic large-scale consolidation of diverse historical data sources. Once collected and integrated, the data repository and analytical system will allow scholars to address a wider set of questions testing hypotheses about long-term and short-term social change at the global scale and catalyzing an expansion of the evidence base in social sciences. For example, our understanding of important societal issues can advance by linking health to demography and by incorporating climate and health factors into economic studies. Disciplinary theory will advance through interaction among the various scientific fields, so that a global network of social-science researchers will emerge.

该项目将加强历史信息和分析中心(http://chia.pitt.edu)，)的组织和技术基础设施，这是一个由社会、自然和信息科学的学者组成的多机构协作中心，其结构是一个研究协作体和一个总部。研究合作将正在收集人口、气候和其他主题数据的参与机构与众包工具联系起来，以展示建立一个不断增长的多样化历史数据和元数据集合的可行性。总部收集和发展关于储存库设计的知识，以开发一个储存库，足以存放传入的数据，并允许进行全球和交互分析。S历史信息与分析中心未来的计划包括扩大历史数据的收集和处理，扩大社会科学和自然科学研究人员的社区，分析全球变化的历史模式，并与研究人员、政策制定者、师生共享资源。CHIA总部设在匹兹堡大学，波士顿大学、哈佛大学、密歇根州立大学和加州大学梅赛德分校的研究小组都参与其中。要了解当今存在的全球社会模式，越来越明显的是，我们需要了解它们在最近几个世纪是如何演变的。历史信息与分析中心响应了这一需求，将历史分析带入了大数据领域。预计数据资源的大小将增长到几TB。该项目将促进更有效的研究合作的发展，使各种历史数据来源能够有系统地大规模合并。一旦收集和整合，数据储存库和分析系统将允许学者解决更广泛的问题，测试关于全球范围内长期和短期社会变化的假设，并催化社会科学证据基础的扩大。例如，通过将健康与人口统计学联系起来，并将气候和健康因素纳入经济研究，可以促进我们对重要社会问题的理解。学科理论将通过不同科学领域之间的互动而发展，从而形成一个社会科学研究人员的全球网络。