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(Messy) Big Data for Social Good
(Messy) Big Data for Social Good
Detailed Information
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211151002
- ISBN
- 9798382830490
- DDC
- 301
- 서명/저자
- (Messy) Big Data for Social Good
- 발행사항
- [Sl] : University of Pennsylvania, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 154 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 85-12, Section: A.
- 주기사항
- Advisor: Bastani, Hamsa Sridhar.
- 학위논문주기
- Thesis (Ph.D.)--University of Pennsylvania, 2024.
- 초록/해제
- 요약The goal of this work is to develop algorithmic approaches that tackle complex social problems. All three projects included in the dissertation start with large-scale messy datasets in social domains with sensitive nuances that are important for considering when designing algorithmic analyses. Our primary focus areas are human rights abuses in supply chains and counter-sex trafficking investigations. We combine datasets from dozens of sources to provide unique views into these domains. We develop algorithmic methodologies that account for the distinct challenges for each area and share how these contributions can be applied to other domains.
- 일반주제명
- Sociology
- 일반주제명
- Information science
- 키워드
- Social problems
- 키워드
- Supply chains
- 기타저자
- University of Pennsylvania Operations Information and Decisions
- 기본자료저록
- Dissertations Abstracts International. 85-12A.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■020 ▼a9798382830490
■035 ▼a(MiAaPQ)AAI30994106
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a301
■1001 ▼aRamchandani, Pia.
■24510▼a(Messy) Big Data for Social Good
■260 ▼a[Sl]▼bUniversity of Pennsylvania▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a154 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 85-12, Section: A.
■500 ▼aAdvisor: Bastani, Hamsa Sridhar.
■5021 ▼aThesis (Ph.D.)--University of Pennsylvania, 2024.
■520 ▼aThe goal of this work is to develop algorithmic approaches that tackle complex social problems. All three projects included in the dissertation start with large-scale messy datasets in social domains with sensitive nuances that are important for considering when designing algorithmic analyses. Our primary focus areas are human rights abuses in supply chains and counter-sex trafficking investigations. We combine datasets from dozens of sources to provide unique views into these domains. We develop algorithmic methodologies that account for the distinct challenges for each area and share how these contributions can be applied to other domains.
■590 ▼aSchool code: 0175.
■650 4▼aSociology
■650 4▼aInformation science
■653 ▼aHuman rights abuses
■653 ▼aSocial problems
■653 ▼aCounter-sex trafficking investigations
■653 ▼aSupply chains
■653 ▼aLarge-scale messy datasets
■690 ▼a0796
■690 ▼a0723
■690 ▼a0626
■71020▼aUniversity of Pennsylvania▼bOperations, Information and Decisions.
■7730 ▼tDissertations Abstracts International▼g85-12A.
■790 ▼a0175
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17160349▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
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