Doctoral Dissertation Research in DRMS: Protocol Driven Resilience: Modifiable Systems Architecture as a Resilient Strategy for Critical Infrastructure

基础设施能够在老化、自然灾害和人为威胁的情况下保持性能，这对社会运行至关重要。因此，基础设施的复原力重新受到重视，特别是发展应对不可预见或不可预见的问题或情况的手段。这项研究调查了商业上可通航的内河航道系统在发生破坏性事件后临时重新配置的方式。具体地说，该系统如何在确定恢复目标的优先顺序与制定和实施适当的解决方案之间取得平衡？这种平衡是系统的一种功能-S能够针对资产所有者、运营商和利益相关者之间的关系进行自我重组。这一重组的有效性在很大程度上取决于系统中存在的文化和物质特征。因此，这项研究提供了深入的见解，将加强相关的响应过程，并可能导致更快、更有效的恢复工作。为了调查和阐明这些自我重组的模式，研究生完成了巴尔的摩、新奥尔良和鹿特丹港口的案例研究。他收集了三种类型的数据：对私人和公共利益相关者的半结构化访谈，公布的程序或法律等文件，以及公司/机构沟通和媒体渠道等公开可用的数据。所有定性数据都被编码和分析，目的是开发协作过程的可视化模型并附带描述。编码过程从更正式的系统文档中可能无法捕获的丰富描述中提取可概括的知识。半结构化面试旨在从具有中断应对经验并参与组织间合作的利益相关者那里提取默示知识。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。

The ability of infrastructure to sustain performance despite age, natural disasters, and human threats is critical to societal functioning. As a result, infrastructure resilience has received renewed emphasis, especially on the development of the means to cope with unforeseen or unanticipated problems or circumstances. This research investigates the ways commercially navigable inland waterway systems temporarily reconfigure after a disruptive incident. Specifically, how does the system balance prioritization of recovery objectives and development and implementation of appropriate solutions? This balancing is a function of the system?s ability to self re-organize with respect to the relationships among asset owners, operators, and stakeholders. The effectiveness of this reorganization is largely dependent upon the cultural and physical characteristics present in the system. Therefore, this research provides insights that will enhance the response processes involved, and potentially lead to quicker and more effective recovery efforts. To investigate and elucidate these patterns of self reorganization, the graduate student completes case studies of the ports of Baltimore, New Orleans, and Rotterdam. He collects three types of data: semi-structured interviews of private and public stakeholders, documents such as published procedures or laws, and publicly available data such as corporate/agency communications and media outlets. All qualitative data are coded and analyzed with the intent of developing visual models of collaborate process with accompanying descriptions. The coding process extracts generalizable knowledge from rich descriptions that may not be captured in more formal system documentation. The semi-structured interviews are designed to extract tacit knowledge from stakeholders who have experience with disruption response and who engage in inter-organizational collaboration.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.