Collaborative Research: IDENTIFYING FAULT LINES, CIRCUMVENTING FAULT LINE ERUPTIONS, AND MITIGATING THE EFFECTS OF FAULT LINES

合作研究：识别断层线、规避断层线喷发、减轻断层线影响

• 批准号: 0909611
• 负责人: Sandra Slaughter
• 金额: $ 30.17万
• 依托单位: Georgia Tech Research Corporation
• 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: 2009-04-15 至 2014-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0909611&HistoricalAwards=false
• 关键词: Collaborative; Research; IDENTIFYING; FAULT; LINES

Studies of large-scale information technology (IT) development projects that include multiple groups of stakeholders have found that such projects are prone to conflict escalation and eventual project failure if care is not taken to repair intergroup conflict as it erupts or even to avoid it entirely. This project aims to understand what triggers intergroup conflict, or, more precisely, what the researchers call ?faultlines,? among stakeholders engaged in cyberinfrastructure development projects and, more specifically, in GENI, a virtual laboratory currently being prototyped to explore future internets at scale. Early identification of potential faultlines and their mitigation or repair are central to achieving positive stakeholder interactions and project success.The research will consist of an in-depth longitudinal study of the social networks emerging in the GENI development and prototyping community over the next three years, using a mix of quantitative and qualitative methods. Social Network Analysis (SNA) will be used to understand the communication patterns among stakeholders, primarily based on electronic communications, e.g., email and wiki postings. Qualitative Comparative Analysis (QCA) will be used to discern patterns in qualitative data, for example, from interviews, meeting minutes or project documents. The GENI social network will be studied at two levels, within development teams and across them ? at the larger GENI community level. The management of large-scale IT development projects is challenging, in large part due to their sheer scale, scope and complexity. As a result, this research could have broad applicability. Understanding how conflict can be anticipated, avoided or mitigated has the potential to positively impact project stakeholders as well as the broader society, which is the ultimate beneficiary of the innovations that GENI may stimulate.

对包含多个涉众群体的大型信息技术（IT）开发项目的研究发现，如果不注意在小组间冲突爆发时进行修复，甚至完全避免冲突，这样的项目容易发生冲突升级，并最终导致项目失败。这个项目旨在了解是什么引发了群体间的冲突，或者更准确地说，是研究人员所说的“断层线”。在参与网络基础设施开发项目的利益相关者之间，更具体地说，在GENI中，一个虚拟实验室目前正在进行原型设计，以大规模探索未来的互联网。早期识别潜在的断层线并对其进行缓解或修复，对于实现利益相关者的积极互动和项目成功至关重要。该研究将采用定量和定性相结合的方法，对未来三年GENI开发和原型社区中出现的社交网络进行深入的纵向研究。将使用社会网络分析（SNA）来了解利益相关者之间的通信模式，主要基于电子通信，例如电子邮件和wiki帖子。定性比较分析（QCA）将用于识别定性数据中的模式，例如来自访谈、会议记录或项目文件。GENI社会网络将在两个层面上进行研究，即在开发团队内部和跨团队进行研究。在更大的GENI社区层面。大型IT开发项目的管理是具有挑战性的，很大程度上是因为它们的规模、范围和复杂性。因此，这项研究可能具有广泛的适用性。了解如何预测、避免或减轻冲突有可能对项目利益相关者以及更广泛的社会产生积极影响，这是GENI可能刺激的创新的最终受益者。