I-Corps: Housing Recovery Platform

I-Corps项目更广泛的影响/商业潜力在于解决弱势群体和非弱势群体在恢复时间上的差异。恢复时间的差异与健康和福祉的差异有关。差距是存在于“正常”蓝天下的正义和公平问题；这些公平和正义问题不仅持续存在，而且由于风暴及其后果的影响，可能会扩大。“汇聚、盘点、匹配和分配”是一个支持协调管理捐赠物资和志愿劳动力的平台，旨在加快流离失所弱势家庭受损房屋的修复。经济复苏的利益相关者需要技术解决方案，以便更好地协调和跟踪住房复苏。该解决方案响应了社区的迫切需求，该方法已通过社区能力建设和参与得到验证。这为这个住房回收平台的商业潜力提供了支持。这个I-Corps项目是基于住房回收平台的开发，该平台利用了一个创新的优化调度模块。该模块包含旨在更有效地协调这些资源的算法，以便在全球范围内减少流离失所、脆弱家庭的流离失所时间。因此，减少流离失所时间的差异，并相应改善人口福利。该模块中的算法提供了用于评估流离失所家庭脆弱性的决策演算，受影响结构的破坏状态以及材料和劳动力的可用性，然后安排工作包的顺序。该模块包括一个优化过程，用于排队分配的工作包，更新计划工作包的日历，并生成每日院子电子票。在日历上的放置顺序取决于优先级得分。协调算法利用优先级得分，优化工作包的调度，使弱势家庭的流离失所时间最小化。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this I-Corps project is found in addressing disparities in recovery times between vulnerable and less-vulnerable populations. Disparities in recovery time are associated with disparities in health and wellbeing. Disparities are justice and equity issues that exist under ‘normal’ blue skies; these equity and justice issues not only persist but are likely to widen due to the impact of a storm and its aftermath. The Convergence, Inventory, Matching, and Assignment is a platform that supports the coordinated management of donated materials and volunteer labor in effort to speed the repair of damaged homes of displaced vulnerable households. There to be an appetite among recovery stakeholders for technical solutions that offer better coordination and tracking of the housing recovery. The solution responds to a pressing community need and the approach has been validated through community capacity building and engagement. This lends support to the commercial potential of this housing recovery platform. This I-Corps project is based on the development of a housing recovery platform that utilizes an innovative Optimization Scheduling Module. This module contains algorithms designed to more efficiently coordinate these resources so there is a global reduction in displacement times among displaced, vulnerable households. Thus, a reduction in disparities in displacement times and an associated improvements in population wellbeing. The algorithms in the module provide the decision calculus used to evaluate the vulnerability of displaced households, the damage state of impacted structures, and availabilities of materials and labor, and then schedule a sequencing of work packages. The module includes an optimization process to queue assigned work packages, update a calendar of scheduled work packages, and generate daily yard e-tickets. The order of placement on the calendar is dependent upon the prioritizations score. Using the prioritization score, the coordinating algorithm is optimizing the scheduling of the work packages to minimize the displacement times of vulnerable households.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.