Allocation for Social Good

Lundy, Taylor; Wei, Alexander; Fu, Hu; Kominers, Scott Duke; Leyton‐Brown, Kevin

doi:10.1145/3328526.3329623

Cited by 2 publications

(1 citation statement)

References 16 publications

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“…For instance, in transportation networks, users often drive above the speed limit to reduce their travel times, and, in school choice contexts, parents often misreport their home addresses to admit their children to better public schools [1]. Similar issues of users engaging in fraud arise in other domains, including labor markets [2], strategic classification [3,4], non-market allocation mechanisms [5], and resource allocation [6].…”

Section: Introductionmentioning

confidence: 99%

When Efficiency meets Equity in Congestion Pricing and Revenue Refunding Schemes

Jalota

Solovey

Gopalakrishnan

et al. 2021

Equity and Access in Algorithms, Mechanisms, and Optimization

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Congestion pricing has long been hailed as a means to mitigate traffic congestion; however, its practical adoption has been limited due to social inequity issues, e.g., low-income users are priced out off certain roads. This issue has spurred interest in the design of equitable mechanisms that refund the collected toll revenues to users. Although revenue refunding has been extensively studied, there has been no characterization of how such schemes can be designed to simultaneously achieve system efficiency and equity objectives.In this work, we bridge this gap through the study of congestion pricing and revenue refunding (CPRR) schemes in non-atomic congestion games. We first develop CPRR schemes, which in comparison to the untolled case, simultaneously (i) increase system efficiency and (ii) decrease wealth inequality, while being (iii) userfavorable: irrespective of their initial wealth or values-of-time (which may differ across users) users would experience a lower travel cost after the implementation of the proposed scheme. We then characterize the set of optimal user-favorable CPRR schemes that simultaneously maximize system efficiency and minimize wealth inequality. These results assume a well-studied behavior model of users minimizing a linear function of their travel times and tolls, without considering refunds. Overall, our work demonstrates that through appropriate refunding policies we can achieve system efficiency while reducing wealth inequality.

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Section: Introductionmentioning

confidence: 99%

When Efficiency meets Equity in Congestion Pricing and Revenue Refunding Schemes

Jalota

Solovey

Gopalakrishnan

et al. 2021

Equity and Access in Algorithms, Mechanisms, and Optimization

View full text Add to dashboard Cite

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A Recommender System for Crowdsourcing Food Rescue Platforms

Shi

Lizarondo²,

Fang

2021

Proceedings of the Web Conference 2021

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The challenges of food waste and insecurity arise in wealthy and developing nations alike, impacting millions of livelihoods. The ongoing pandemic only exacerbates the problem. A major force to combat food waste and insecurity, food rescue (FR) organizations match food donations to the non-profits that serve low-resource communities. Since they rely on external volunteers to pick up and deliver the food, some FRs use web-based mobile applications to reach the right set of volunteers. In this paper, we propose the first machine learning based model to improve volunteer engagement in the food waste and security domain. We (1) develop a recommender system to send push notifications to the most likely volunteers for each given rescue, (2) leverage a mathematical programming based approach to diversify our recommendations, and (3) propose an online algorithm to dynamically select the volunteers to notify without the knowledge of future rescues. Our recommendation system improves the hit ratio from 44% achieved by the previous method to 73%. A pilot study of our method is scheduled to take place in the near future. CCS CONCEPTS• Information systems → Recommender systems; Computational advertising; • Applied computing → Economics.

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Allocation for Social Good

Cited by 2 publications

References 16 publications

When Efficiency meets Equity in Congestion Pricing and Revenue Refunding Schemes

When Efficiency meets Equity in Congestion Pricing and Revenue Refunding Schemes

A Recommender System for Crowdsourcing Food Rescue Platforms

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