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Incentives, Causality, and Fairness: The Mathematics of Societal Decision-Making.
Содержание
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  
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Control Number  
joongbu:656249
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