公平且多样的稀缺资源分配
Fair and Diverse Allocation of Scarce Resources
AI总结：
本文旨在设计一种公平性意识的分配方法，以最大化地理多样性并避免因人口差异导致的不公平。通过整合资源分配的不同方面，提出了一种优先考虑脆弱群体的干预策略，平衡地理覆盖与社会公平。
摘要：
我们旨在设计一种公平性意识的分配方法，以最大化地理多样性和避免因人口差异导致的不公平。在本工作的发展过程中，新冠疫情仍在美国和其他地区大规模蔓延。许多贫困社区和少数族裔群体比其他人更脆弱。为了为所有居民提供足够的疫苗和医疗资源并有效阻止疫情进一步蔓延，一个社区的平均医疗资源人均量应独立于社区的人口特征，仅取决于对该疾病暴露率的条件。在本文中，我们整合了资源分配的不同方面，寻求一种协同干预策略，在分配医疗资源时优先考虑脆弱群体。这种以预防为中心的策略是地理覆盖与社会群体公平之间的权衡。所提出的原则可以应用于其他稀缺资源和社会福利的分配。
英文摘要：
We aim to design a fairness-aware allocation approach to maximize the geographical diversity and avoid unfairness in the sense of demographic disparity. During the development of this work, the COVID-19 pandemic is still spreading in the U.S. and other parts of the world on large scale. Many poor communities and minority groups are much more vulnerable than the rest. To provide sufficient vaccine and medical resources to all residents and effectively stop the further spreading of the pandemic, the average medical resources per capita of a community should be independent of the community's demographic features but only conditional on the exposure rate to the disease. In this article, we integrate different aspects of resource allocation and seek a synergistic intervention strategy that gives vulnerable populations with higher priority when distributing medical resources. This prevention-centered strategy is a trade-off between geographical coverage and social group fairness. The proposed principle can be applied to other scarce resources and social benefits allocation.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
