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: 0909833
• 负责人: Laurie Kirsch
• 金额: $ 29.97万
• 依托单位: University of Pittsburgh
• 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=0909833&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.

对包括多个利益攸关方群体的大型信息技术开发项目的研究发现，如果在群体间冲突爆发时不注意修复甚至完全避免冲突，此类项目很容易出现冲突升级，最终导致项目失败。这个项目旨在了解是什么触发了群体间的冲突，或者更准确地说，研究人员称之为什么？断层线？在参与网络基础设施开发项目的利益攸关方之间，更具体地说，在GENI，一个虚拟实验室，目前正在原型化，以探索未来的互联网规模。早期识别潜在的断层线及其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。这项研究将包括一个深入的纵向研究的社交网络出现在GENI开发和原型社区在未来三年内，使用定量和定性的方法相结合。社会网络分析（SNA）将用于了解利益相关者之间的沟通模式，主要是基于电子通信，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，从访谈，会议记录或项目文件中。GENI社交网络将在两个层面上进行研究，在开发团队内部和跨团队。在更大的GENI社区层面。大型IT开发项目的管理具有挑战性，这在很大程度上是由于其庞大的规模，范围和复杂性。因此，这项研究具有广泛的适用性。了解如何预测、避免或缓解冲突，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，而社会是GENI可能激发的创新的最终受益者。