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Incentives, Causality, and Fairness: The Mathematics of Societal Decision-Making.
Incentives, Causality, and Fairness: The Mathematics of Societal Decision-Making.
- 자료유형
- 학위논문
- Control Number
- 0017163244
- International Standard Book Number
- 9798384050995
- Dewey Decimal Classification Number
- 519
- Main Entry-Personal Name
- Eichhorn, Matthew.
- Publication, Distribution, etc. (Imprint
- [S.l.] : Cornell University., 2024
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- Physical Description
- 232 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 86-03, Section: A.
- General Note
- Advisor: Banerjee, Siddhartha.
- Dissertation Note
- Thesis (Ph.D.)--Cornell University, 2024.
- Summary, Etc.
- 요약Our burgeoning reliance on technology has resulted in the integration of algorithms into many real-world decision-making problems. The decisions of these algorithms can have far-reaching consequences, affecting where people live and work, determining who has access to which opportunities or resources, and helping to inform our decisions when crafting public health policies. In light of this, it is important that these decision-making algorithms respect our societal ideals and incorporate our understanding of social dynamics that influence the problems in nuanced ways. In this dissertation, I will consider three different social phenomena that arise in three decision-making problems. First, I'll look at a problem of resource allocation under multi-faceted priorities. Next, I'll consider the problem of forming optimal work groups under a variety of models of team synergy. Finally, I'll consider the problem of estimating the effect of a treatment on a population in the presence of spillover effects in their social network. In each of these problems, I'll posit a model for the corresponding social dynamics and leverage the inherent combinatorial structure in the model to develop an optimal or near-optimal decision-making policy.
- Subject Added Entry-Topical Term
- Applied mathematics.
- Subject Added Entry-Topical Term
- Computer science.
- Subject Added Entry-Topical Term
- Sociology.
- Index Term-Uncontrolled
- Causal inference
- Index Term-Uncontrolled
- Combinatorial optimization
- Index Term-Uncontrolled
- Fair allocation
- Index Term-Uncontrolled
- Mechanism design
- Index Term-Uncontrolled
- Online allocation
- Added Entry-Corporate Name
- Cornell University Applied Mathematics
- Host Item Entry
- Dissertations Abstracts International. 86-03A.
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:656249
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