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New algorithms promote equity in online resource allocation for non-profits

By PulseAugur Editorial · [1 sources] ·

This paper introduces two LP-based sampling algorithms designed to promote equity in online resource allocation, particularly for non-profit organizations. The algorithms address scenarios where resources are scarce and arriving requesters, while homogeneous in external factors, are heterogeneous in internal attributes like demographics. The proposed strategies aim to ensure that each demographic group receives a fair share of resources proportional to a preset target ratio, as demonstrated through theoretical analysis and experiments using COVID-19 vaccination data from the Minnesota Department of Health. AI

IMPACT Provides a framework for equitable distribution of resources, applicable to AI-driven allocation systems.

RANK_REASON The cluster contains an academic paper published on arXiv. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New algorithms promote equity in online resource allocation for non-profits

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The cluster contains an academic paper published on arXiv. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Pan Xu, Yifan Xu ·

    Equity Promotion in Online Resource Allocation

    arXiv:2112.04169v3 Announce Type: replace-cross Abstract: We consider online resource allocation under a typical non-profit setting, where limited or even scarce resources are administered by a not-for-profit organization like a government. We focus on the internal-equity by assu…

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