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Towards Equity and Fairness in Data-Driven Management Systems

Abstract

This dissertation comprises three lines of work addressing societal challenges related to safe water access, fair incentive design, and secure data sharing, utilizing mathematical modeling to propose comprehensive solutions. These projects collectively advocate for universal resource and information access while prioritizing equity and fairness for marginalized communities. The first project centers on optimizing water storage decisions, considering factors such as cost, water quality, and wastage, with the core objective of promoting equitable access to safe drinking water, particularly for those facing severe water scarcity. In the second project, we address deficiencies in current incentive mechanisms for fairness, introducing quantitative definitions rooted in fairness principles to prevent harm to specific groups and encompass disadvantaged segments of society. Lastly, the third project delves into the intricacies of responsible scientific data sharing, presenting a novel cybersecurity insurance contract to incentivize healthcare providers while safeguarding privacy and livelihoods, especially for vulnerable populations. In sum, this research strives to develop solutions that facilitate equal and inclusive access while mitigating risks, with the goal of addressing cultural and societal issues concerning resource allocation and information sharing for underserved communities.

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