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Incentives, Causality, and Fairness: The Mathematics of Societal Decision-Making
Incentives, Causality, and Fairness: The Mathematics of Societal Decision-Making
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211152643
- ISBN
- 9798384050995
- DDC
- 519
- 서명/저자
- Incentives, Causality, and Fairness: The Mathematics of Societal Decision-Making
- 발행사항
- [Sl] : Cornell University, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 232 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-03, Section: A.
- 주기사항
- Advisor: Banerjee, Siddhartha.
- 학위논문주기
- Thesis (Ph.D.)--Cornell University, 2024.
- 초록/해제
- 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.
- 일반주제명
- Applied mathematics
- 일반주제명
- Computer science
- 일반주제명
- Sociology
- 키워드
- Causal inference
- 키워드
- Fair allocation
- 키워드
- Mechanism design
- 기타저자
- Cornell University Applied Mathematics
- 기본자료저록
- Dissertations Abstracts International. 86-03A.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■020 ▼a9798384050995
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■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a519
■1001 ▼aEichhorn, Matthew.▼0(orcid)0009-0001-3841-8686
■24510▼aIncentives, Causality, and Fairness: The Mathematics of Societal Decision-Making
■260 ▼a[Sl]▼bCornell University▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a232 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-03, Section: A.
■500 ▼aAdvisor: Banerjee, Siddhartha.
■5021 ▼aThesis (Ph.D.)--Cornell University, 2024.
■520 ▼aOur 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.
■590 ▼aSchool code: 0058.
■650 4▼aApplied mathematics
■650 4▼aComputer science
■650 4▼aSociology
■653 ▼aCausal inference
■653 ▼aCombinatorial optimization
■653 ▼aFair allocation
■653 ▼aMechanism design
■653 ▼aOnline allocation
■690 ▼a0364
■690 ▼a0796
■690 ▼a0984
■690 ▼a0626
■71020▼aCornell University▼bApplied Mathematics.
■7730 ▼tDissertations Abstracts International▼g86-03A.
■790 ▼a0058
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17163244▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
