Collaborative Research: SCC-SBE: Research Coordination Network on Leveraging Computational Social Science for Understanding Virtual Organizations

合作研究:SCC-SBE:利用计算社会科学理解虚拟组织的研究协调网络

基本信息

  • 批准号:
    1244747
  • 负责人:
  • 金额:
    $ 34.64万
  • 依托单位:
  • 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

项目摘要

Rapid advances in digitally-enabled communications have given rise to a new organizational form - the virtual organization. Because of their immense capacity for flexibility and their ability to draw on diverse expertise across time and space, the large-scale, cross-boundary collaborations enabled by virtual organizations have the potential to solve some of the grand challenges of today's world - those in environmental sustainability, climate change, disaster response, education, and health care. However, research on understanding and enabling virtual organizations requires the deep expertise of many disciplines including computer science, information and decision sciences, communication, management, and psychology, to name a few. Therefore an integral next step is to invest in community and infrastructure development that better fuses the "social" and the "technical" cores of this research enterprise. This need for greater socio-technical integration is at the heart of a new paradigm which we call computational social science enabled virtual organizational research (CSSeVOR).This research coordination network will increase the interconnections between scholars across disciplines and catalyze a new community examining virtual organizations using computational and data-enabled approaches. Big data presents an enormous opportunity for organizational science, particularly the areas aimed at understanding human behavior and organizing processes. However, utilizing such data requires a fundamental transformation within the areas of science engaged in this problem domain. This project engages a core set of interdisciplinary scientists representing both the "social" and the "technical" thinking about virtual organizing, to work collaboratively to build the scientific network needed to tackle the challenges of utilizing big data in the organizational sciences, and to set up the necessary conditions for big-data enabled organizational science research to thrive. The project team will conduct workshops, research incubators, doctoral consortia, and a conference to build community and capacity for computational virtual organization research.
数字化通信的快速发展催生了一种新的组织形式——虚拟组织。由于虚拟组织具有巨大的灵活性和利用跨越时间和空间的各种专门知识的能力,因此由虚拟组织实现的大规模跨界协作有可能解决当今世界的一些重大挑战——环境可持续性、气候变化、灾害应对、教育和卫生保健方面的挑战。然而,理解和实现虚拟组织的研究需要许多学科的深厚专业知识,包括计算机科学,信息和决策科学,通信,管理和心理学,仅举几例。因此,下一步是投资于社区和基础设施的发展,以更好地融合这个研究企业的“社会”和“技术”核心。这种对更大的社会技术整合的需求是一种新范式的核心,我们称之为计算社会科学支持的虚拟组织研究(CSSeVOR)。这个研究协调网络将增加跨学科学者之间的相互联系,并催化一个使用计算和数据支持方法研究虚拟组织的新社区。大数据为组织科学提供了巨大的机会,特别是在旨在理解人类行为和组织过程的领域。然而,利用这些数据需要在从事该问题领域的科学领域内进行根本性的转变。本项目吸引了一批跨学科的核心科学家,他们代表了虚拟组织的“社会”和“技术”思维,共同努力建立科学网络,以应对在组织科学中利用大数据的挑战,并为大数据使组织科学研究蓬勃发展创造必要的条件。项目团队将举办研讨会、研究孵化器、博士联盟和会议,以建立计算虚拟组织研究的社区和能力。

项目成果

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Noshir Contractor其他文献

Societally connected multimedia across cultures
  • DOI:
    10.1631/jzus.c1200279
  • 发表时间:
    2012-12-09
  • 期刊:
  • 影响因子:
    2.900
  • 作者:
    Zhongfei Zhang;Zhengyou Zhang;Ramesh Jain;Yueting Zhuang;Noshir Contractor;Alexander G. Hauptmann;Alejandro Alex Jaimes;Wanqing Li;Alexander C. Loui;Tao Mei;Nicu Sebe;Yonghong Tian;Vincent S. Tseng;Qing Wang;Changsheng Xu;Huimin Yu;Shiwen Yu
  • 通讯作者:
    Shiwen Yu
Modeling the “who” and “how” of social influence in the adoption of health practices
塑造在采用健康实践中社会影响的“谁”和“如何”
  • DOI:
    10.1016/j.socnet.2025.03.006
  • 发表时间:
    2025-07-01
  • 期刊:
  • 影响因子:
    2.400
  • 作者:
    Neelam Modi;Johan Koskinen;Leslie DeChurch;Noshir Contractor
  • 通讯作者:
    Noshir Contractor
Measuring algorithmically infused societies
测量算法注入的社会
  • DOI:
    10.1038/s41586-021-03666-1
  • 发表时间:
    2021-06-30
  • 期刊:
  • 影响因子:
    48.500
  • 作者:
    Claudia Wagner;Markus Strohmaier;Alexandra Olteanu;Emre Kıcıman;Noshir Contractor;Tina Eliassi-Rad
  • 通讯作者:
    Tina Eliassi-Rad
Survey data on customer two-stage decision-making process in household vacuum cleaner market
  • DOI:
    10.1016/j.dib.2024.110353
  • 发表时间:
    2024-06-01
  • 期刊:
  • 影响因子:
  • 作者:
    Yinshuang Xiao;Yaxin Cui;Nikita Raut;Jonathan Januar;Johan Koskinen;Noshir Contractor;Wei Chen;Zhenghui Sha
  • 通讯作者:
    Zhenghui Sha
Groups, governance, and greed: the ACCESS world model
  • DOI:
    10.1007/s10588-021-09352-x
  • 发表时间:
    2021-12-02
  • 期刊:
  • 影响因子:
    1.500
  • 作者:
    Scott Rager;Alice Leung;Shannon Pinegar;Jennifer Mangels;Marshall Scott Poole;Noshir Contractor
  • 通讯作者:
    Noshir Contractor

Noshir Contractor的其他文献

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{{ truncateString('Noshir Contractor', 18)}}的其他基金

The Next Normal for Teaming - Transitioning Out of COVID-19
团队合作的下一个常态 - 摆脱 COVID-19 的影响
  • 批准号:
    2052366
  • 财政年份:
    2021
  • 资助金额:
    $ 34.64万
  • 项目类别:
    Standard Grant
Doctoral Dissertation Research in DRMS: Assembling Teams Supported by Augmented Intelligence
DRMS 博士论文研究:组建增强智能支持的团队
  • 批准号:
    2021117
  • 财政年份:
    2020
  • 资助金额:
    $ 34.64万
  • 项目类别:
    Standard Grant
RAPID: Teaming in the Time of Covid-19: Understanding how technology affordances can enable collaboration during sudden workplace disruption
RAPID:Covid-19 时代的团队合作:了解技术可供性如何在工作场所突然中断期间实现协作
  • 批准号:
    2027572
  • 财政年份:
    2020
  • 资助金额:
    $ 34.64万
  • 项目类别:
    Standard Grant
Safe Bets and Risky Propositions: Leveraging Rich Data to Understand Potential in Science Teams
安全赌注和冒险提议:利用丰富的数据了解科学团队的潜力
  • 批准号:
    1856090
  • 财政年份:
    2019
  • 资助金额:
    $ 34.64万
  • 项目类别:
    Standard Grant
Workshop: Human technology partnerships and the changing nature of work; Evanston, IL - November 2019
研讨会:人类技术伙伴关系和不断变化的工作性质;
  • 批准号:
    1940668
  • 财政年份:
    2019
  • 资助金额:
    $ 34.64万
  • 项目类别:
    Standard Grant
CHS: Medium: Collaborative Research: Understanding Online Creative Collaboration over Multidimensional Networks
CHS:媒介:协作研究:理解多维网络上的在线创意协作
  • 批准号:
    1514427
  • 财政年份:
    2015
  • 资助金额:
    $ 34.64万
  • 项目类别:
    Standard Grant
EAGER: Collaborative Research: Some Assembly Required: Understanding the Emergence of Teams and Ecosystems of Teams
EAGER:协作研究:需要一些组装:了解团队和团队生态系统的出现
  • 批准号:
    1249137
  • 财政年份:
    2012
  • 资助金额:
    $ 34.64万
  • 项目类别:
    Standard Grant
EAGER: Collaborative Research: FLASH! Fueling Learning Alliance in Sustainability in Higher education: Using social media and networks for science
EAGER:合作研究:FLASH!
  • 批准号:
    1241324
  • 财政年份:
    2012
  • 资助金额:
    $ 34.64万
  • 项目类别:
    Standard Grant
RAPID: Collaborative Research: 3dWomen: Exploring Three Decades of Women's Groups in Sustainable Development and the Impact of Social Media on Women's Professional Networks
RAPID:合作研究:3dWomen:探索妇女团体可持续发展的三个十年以及社交媒体对妇女职业网络的影响
  • 批准号:
    1240008
  • 财政年份:
    2012
  • 资助金额:
    $ 34.64万
  • 项目类别:
    Standard Grant
CDI-Type II: Collaborative Research: Groupscope: Instrumenting Research on Interaction Networks in Complex Social Contexts
CDI-类型 II:协作研究:Groupscope:复杂社会环境中交互网络的仪器研究
  • 批准号:
    0940851
  • 财政年份:
    2010
  • 资助金额:
    $ 34.64万
  • 项目类别:
    Standard Grant

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