The Computational Social Science Network (CS2N)

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、不断上升的通胀和其他紧迫挑战，需要更深入地了解如何分析社交媒体网站、移动设备产生的海量数据，以及行政和历史档案的大规模数字化。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初级阶段。这些合作至关重要，不仅是因为社会科学家必须学习如何使用新技术，还因为这些技术已经产生了紧迫的新问题，涉及伦理问题，以及技术如何加剧社会冲突或为经济流动制造障碍。通过发展计算社会科学的研究能力，该项目有望产生深远的影响，进一步推动社会科学的尖端。该项目建立在一个试点计划的基础上，该计划已培训了1000多名社会学、政治学、社会心理学、经济学、心理学、法学等许多领域的初级学者。它通过五项活动做到这一点：(A)创建11个面对面活动，旨在为跨学科领域的研究提供种子，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，学者们可以在其中继续这种跨学科的研究努力，并分享研究和教学的开放源码材料；(C)主办一个由来自社会科学领域的知名学者组成的咨询委员会，他们将在未来三年指导方案的演变；(D)建立一个可持续的行政基础设施，以支持这一努力的继续发展；以及e)实施严格的评估计划，以评估这一努力对多个NSF社会科学项目的影响--特别是那些在少数族裔服务机构(MSI)工作或学习的人。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

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.