The Computational Social Science Network (CS2N)

计算社会科学网络（CS2N）

• 批准号: 2214386
• 负责人: Jason Rhody
• 金额: $ 42.48万
• 依托单位: Social Science Research Council
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-15 至 2023-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2214386&HistoricalAwards=false
• 关键词: Computational; Social; Science; Network; CS2N

This project creates a research network, resources, and a series of workshops designed to incubate research within the interdisciplinary field of computational social science. Addressing global pandemics, rising inflation, and other pressing challenges demands a deeper understanding of how to analyze the massive amounts of data generated by social media sites, mobile devices, and the large-scale digitization of administrative and historical archives. Computational techniques are vital to derive social science insights from such data, but interdisciplinary collaborations between social scientists and computer scientists remain in their infancy. These collaborations are vital not only because social scientists must learn how to use new techniques, but also because these techniques have generated pressing new questions about ethics and how technology can exacerbate social conflict or create barriers for economic mobility. By developing capabilities for research in computational social science, this project promises to have far-reaching effects furthering the cutting edge of social science.This project builds on a pilot initiative that has trained more than one thousand junior scholars in sociology, political science, social psychology, economics, psychology, law, and many other fields. It does so through five activities: a) creation of eleven, in-person events designed to seed research across disciplinary lines and expand access to training in computational techniques—particularly to members of groups that are under-represented in the field; b) formation of an online community where scholars can continue such cross-disciplinary research endeavors and share open-source materials for research and teaching; c) hosting an advisory council of leading scholars from a range of social science fields who will guide the evolution of the program over the next three years; d) creation of a sustainable administrative infrastructure to support the continued evolution of this effort; and e) implementation of a rigorous evaluation plan to assess the impact of this effort across multiple NSF social science programs—and particularly those who work or study at Minority Serving Institutions (MSIs).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.

该项目创建了一个研究网络，资源和一系列研讨会，旨在孵化计算社会科学跨学科领域的研究。应对全球流行病、通胀上升和其他紧迫挑战需要更深入地了解如何分析社交媒体网站、移动的设备以及大规模数字化行政和历史档案所产生的大量数据。计算技术对于从这些数据中获得社会科学见解至关重要，但社会科学家和计算机科学家之间的跨学科合作仍处于起步阶段。这些合作至关重要，不仅因为社会科学家必须学习如何使用新技术，而且因为这些技术产生了关于伦理的紧迫新问题，以及技术如何加剧社会冲突或为经济流动性制造障碍。 通过培养计算社会科学的研究能力，将对社会科学的前沿产生深远的影响。该项目是在培养了社会学、政治学、社会心理学、经济学、心理学、法学等多个领域的1000多名初级学者的试点项目的基础上开展的。它通过五项活动来实现这一目标：a）创建11个面对面的活动，旨在为跨学科的研究提供种子，并扩大获得计算技术培训的机会-特别是对在该领域代表性不足的群体的成员; B）建立一个在线社区，学者们可以在那里继续这种跨学科的研究努力，并分享研究和教学的开源材料; c）主办一个由来自多个社会科学领域的顶尖学者组成的咨询理事会，他们将指导该计划在未来三年的发展; d）创建可持续的行政基础设施，以支持这一努力的持续发展;和e）实施严格的评估计划，以评估这一努力在多个NSF社会科学计划中的影响-特别是那些在少数民族服务机构（MSIs）工作或学习的人。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。