CDI-Type II Collaborative Research: Understanding social networks, complex systems

CDI-II 型协作研究：理解社交网络、复杂系统

• 批准号: 0941501
• 负责人: May Yuan
• 金额: $ 47.12万
• 依托单位: University of Oklahoma Norman Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-10-01 至 2014-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0941501&HistoricalAwards=false
• 关键词: CDI; Type; II; Collaborative; Research

This project creates a multidisciplinary research virtual organization (SOCNET) of historians, geographers, computer scientists, and mathematicians to share historical social science data and develop geographically integrated frameworks to address complex, dynamic, nonlinear systems and social networks.Through multidisciplinary collaboration, SOCNET will fuse qualitative and quantitative data to connect humans, events, and environments, and through such connections form historical narratives within and across geographic spaces. The project's ultimate goal is to better infuse computational thinking into the historical social sciences through computational innovation and narrative knowledge creation to revolutionize research outcomes in these disciplines with a shift to Geographically-Integrated History. SOCNET's developments in Dynamics GIS (geographic information systems) and related information technologies will provide the backbone for understanding complex historical social systems with three components that define the geographically-integrated history paradigm: (1) the history of any place is shaped in significant ways by the way the place is connected to other places and by the changes in these connections over time; (2) historical periods are complex, dynamic, nonlinear systems that are spatially large, and in more recent centuries, global in extension, and these systems sometimes become unstable, leading to a phase transition, bifurcation, and the organization of new systems; and (3) within such systems, people and places are connected by social networks in a self-organizing fashion. Focusing on the first global age (1400-1800), SOCNET will transform historical research with computational thinking on (1) new means for the representation of data for organizing, storing, manipulating, and recovering them for exploration using computational tools; (2) new spatial-temporal GIS for the visualization and analysis of real world dynamics; (3) new tools for data harmonization and text mining; (4) new approaches to the use of information that is vague, uncertain, and incomplete and of qualitative data within a computational context; (5) new forms of modeling to represent the inferences of domain experts; and (6) new metaphors beyond the map and animation-based visualization for temporal GIS. Collaborative protocols, tools, models, data structures, and algorithms developed in the project will be shaped and presented in web-based educational materials to provide interested researchers and their students with easy access. Beyond the historical social sciences and geographic information science, SOCNET will promote innovations in computer science, mathematical modeling and simulation, environmental sciences, medical research, and transportation studies. Collaborating computer scientists and mathematicians will develop innovative computational concepts and tools to better capture the dynamism of overlapping, multi-dimensional social networks within a complex, nonlinear system. In solving the difficulties associated with using historical information within a computational environment, SOCNET will further promote the idea of 'spatial turn' within history and the historical social sciences. Because of the higher percentage of women and minorities among majors in the historical social sciences, the project will attract such students into a technologically rich educational and employment environment. The project will support the development of an existing Master's in geographically-integrated history, a forthcoming interdisciplinary Ph.D. in Social and Environmental Dynamics, a future M.S. in Computer Science and Computational Sciences, and a new interdisciplinary degree program in Geoinformatics, providing students educational emphases on geographic information science and technology to seek better understanding of dynamic human and environmental systems.

该项目创建了一个由历史学家、地理学家、计算机科学家和数学家组成的多学科研究虚拟组织 (SOCNET)，以共享历史社会科学数据并开发地理综合框架来解决复杂、动态、非线性系统和社交网络问题。通过多学科协作，SOCNET 将融合定性和定量数据以连接人类、事件和环境，并通过这种连接形成地理空间内和跨地理空间的历史叙述。该项目的最终目标是通过计算创新和叙事知识创造更好地将计算思维融入历史社会科学，从而彻底改变这些学科的研究成果，转向地理综合历史。 SOCNET 在动态 GIS（地理信息系统）和相关信息技术方面的发展将为理解复杂的历史社会系统提供支柱，该系统具有定义地理综合历史范式的三个组成部分：（1）任何地方的历史都以重要方式形成该地点与其他地点的连接方式以及这些连接随时间的变化； （2）历史时期是复杂的、动态的、非线性的系统，在空间上是巨大的，并且在最近几个世纪中扩展到全球，这些系统有时会变得不稳定，导致相变、分叉和新系统的组织； (3) 在这样的系统中，人和地方通过社交网络以自组织的方式连接起来。着眼于第一个全球时代（1400-1800），SOCNET 将用计算思维改变历史研究：(1) 数据表示的新方法，用于组织、存储、操作和恢复数据，以便使用计算工具进行探索； (2)用于现实世界动态可视化和分析的新型时空GIS； (3) 数据协调和文本挖掘的新工具； (4) 在计算环境中使用模糊、不确定和不完整的信息以及定性数据的新方法； (5) 新的建模形式来代表领域专家的推论； (6) 超越地图和基于动画的时态 GIS 可视化的新隐喻。该项目中开发的协作协议、工具、模型、数据结构和算法将在基于网络的教育材料中形成和呈现，以便感兴趣的研究人员及其学生能够轻松访问。除了历史社会科学和地理信息科学之外，SOCNET还将促进计算机科学、数学建模和模拟、环境科学、医学研究和交通研究方面的创新。计算机科学家和数学家将合作开发创新的计算概念和工具，以更好地捕捉复杂的非线性系统中重叠的多维社交网络的动态。在解决与在计算环境中使用历史信息相关的困难时，SOCNET 将进一步推动历史和历史社会科学中的“空间转向”理念。由于历史社会科学专业中女性和少数族裔的比例较高，该项目将吸引这些学生进入技术丰富的教育和就业环境。该项目将支持现有的地理综合历史硕士学位的发展，以及即将推出的跨学科博士学位。社会和环境动力学专业，未来的硕士学位计算机科学和计算科学博士学位，以及一个新的地理信息学跨学科学位课程，为学生提供地理信息科学和技术的教育重点，以更好地理解动态人类和环境系统。