Essays in Algorithmic Market Design Under Social Constraints / Hoda Heidari.

Format:

Book

Thesis/Dissertation

Author/Creator:

Heidari, Hoda, author.

Contributor:

Jadbabaie, Ali, degree supervisor.

Kearns, Michael, degree supervisor.

Vohra, Rakesh, degree committee member.

Roth, Aaron, degree committee member.

Mirrokni, Vahab S., degree committee member.

Agarwal, Shivani, degree committee member.

University of Pennsylvania. Computer and Information Science, degree granting institution.

Language:

English

Subjects (All):

Computer science.

Computer and Information Science--Penn dissertations.

Penn dissertations--Computer and Information Science.

Local Subjects:

Computer science.

Computer and Information Science--Penn dissertations.

Penn dissertations--Computer and Information Science.

Genre:

Academic theses.

Physical Description:

1 online resource (167 pages)

Contained In:

Dissertation Abstracts International 79-01B(E).

Place of Publication:

[Philadelphia, Pennsylvania]: University of Pennsylvania ; Ann Arbor : ProQuest Dissertations & Theses, 2017.

Language Note:

English

System Details:

Mode of access: World Wide Web.

text file

Summary:

Rapid technological advances over the past few decades---in particular, the rise of the internet---has significantly reshaped and expanded the meaning of our everyday social activities, including our interactions with our social circle, the media, and our political and economic activities. This dissertation aims to tackle some of the unique societal challenges underlying the design of automated online platforms that interact with people and organizations---namely, those imposed by legal, ethical, and strategic considerations. I narrow down attention to fairness considerations, learning with repeated trials, and competition for market share. In each case, I investigate the broad issue in a particular context (i.e. online market), and present the solution my research offers to the problem in that application. Addressing interdisciplinary problems, such as the ones in this dissertation, requires drawing ideas and techniques from various disciplines, including theoretical computer science, microeconomics, and applied statistics. The research presented here utilizes a combination of theoretical and data analysis tools to shed light on some of the key challenges in designing algorithms for today's online markets, including crowdsourcing and labor markets, online advertising, and social networks among others.

Notes:

Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.

Advisors: Michael Kearns; Ali Jadbabaie; Committee members: Shivani Agarwal; Vahab S. Mirrokni; Aaron Roth; Rakesh Vohra.

Department: Computer and Information Science.

Ph.D. University of Pennsylvania 2017.

Local Notes:

School code: 0175

ISBN:

9780355182064

Access Restriction:

Restricted for use by site license.