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

数字化通信的迅速发展催生了一种新的组织形式--虚拟组织。由于虚拟组织的巨大灵活性，以及它们能够利用跨越时间和空间的不同专业知识的能力，由虚拟组织促成的大规模跨境合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、教育和医疗保健方面的挑战。然而，对理解和支持虚拟组织的研究需要许多学科的深厚专业知识，其中包括计算机科学、信息和决策科学、通信、管理和心理学，仅举几例。因此，下一步必须投资于社区和基础设施建设，以更好地融合该研究企业的“社会”和“技术”核心。这种加强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的方法来审查虚拟组织的新社区。大数据为组织科学提供了巨大的机遇，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这一问题领域的科学领域内进行根本性的转变。该项目聘请了一批代表虚拟组织的“社会”和“技术”思维的跨学科核心科学家，共同努力建立必要的科学网络，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条件。项目团队将举办研讨会、研究孵化器、博士联盟和一次会议，以建立社区和计算虚拟组织研究的能力。

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.