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Social and Technical Sources of Risk in Sustaining Digital Infrastructure
Social and Technical Sources of Risk in Sustaining Digital Infrastructure
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211152729
- ISBN
- 9798384094685
- DDC
- 384
- 서명/저자
- Social and Technical Sources of Risk in Sustaining Digital Infrastructure
- 발행사항
- [Sl] : University of Washington, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 282 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-03, Section: B.
- 주기사항
- Advisor: Hill, Benjamin Mako.
- 학위논문주기
- Thesis (Ph.D.)--University of Washington, 2024.
- 초록/해제
- 요약Significant risks to our shared digital infrastructure-communication systems, servers, and applications-can be identified by examining the social and technical conditions of the communities which produce that infrastructure. Exploration of these production communities reveals the deeply contingent processes of collective action that sustain them-processes that are innovative and powerful but sometimes fragile. As this shared body of digital infrastructure has grown, some crucial pieces have become neglected, leading to underproduction: the phenomenon of highly important, low-quality software packages. Underproduction is a form of what I will call a social production failure, and a substantial source of risk to digital infrastructure that today is used by billions of people. This dissertation is framed around a series of methodological and empirical projects. The first proposes a method for measuring underproduction risk in cross-section and demonstrates the application of that method to the Debian GNU/Linux community. Next, I examine the social and technical conditions of the Debian community and test hypotheses about how these conditions are associated with underproduction. I then develop a method to measure underproduction longitudinally, and apply this method to projects in Debian written using the Python programming language. I close by synthesizing these results with respect to my proposed theory of social production failures, and offer propositions and proposals for future work.
- 일반주제명
- Communication
- 일반주제명
- Information science
- 일반주제명
- Computer science
- 일반주제명
- Engineering
- 일반주제명
- Information technology
- 키워드
- Organizing
- 기타저자
- University of Washington Communication
- 기본자료저록
- Dissertations Abstracts International. 86-03B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520250211152729
■006m o d
■007cr#unu||||||||
■020 ▼a9798384094685
■035 ▼a(MiAaPQ)AAI31490543
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a384
■1001 ▼aChampion, Kaylea.
■24510▼aSocial and Technical Sources of Risk in Sustaining Digital Infrastructure
■260 ▼a[Sl]▼bUniversity of Washington▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a282 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-03, Section: B.
■500 ▼aAdvisor: Hill, Benjamin Mako.
■5021 ▼aThesis (Ph.D.)--University of Washington, 2024.
■520 ▼aSignificant risks to our shared digital infrastructure-communication systems, servers, and applications-can be identified by examining the social and technical conditions of the communities which produce that infrastructure. Exploration of these production communities reveals the deeply contingent processes of collective action that sustain them-processes that are innovative and powerful but sometimes fragile. As this shared body of digital infrastructure has grown, some crucial pieces have become neglected, leading to underproduction: the phenomenon of highly important, low-quality software packages. Underproduction is a form of what I will call a social production failure, and a substantial source of risk to digital infrastructure that today is used by billions of people. This dissertation is framed around a series of methodological and empirical projects. The first proposes a method for measuring underproduction risk in cross-section and demonstrates the application of that method to the Debian GNU/Linux community. Next, I examine the social and technical conditions of the Debian community and test hypotheses about how these conditions are associated with underproduction. I then develop a method to measure underproduction longitudinally, and apply this method to projects in Debian written using the Python programming language. I close by synthesizing these results with respect to my proposed theory of social production failures, and offer propositions and proposals for future work.
■590 ▼aSchool code: 0250.
■650 4▼aCommunication
■650 4▼aInformation science
■650 4▼aComputer science
■650 4▼aEngineering
■650 4▼aInformation technology
■653 ▼aCollective action
■653 ▼aDigital infrastructure
■653 ▼aOpen source software
■653 ▼aOrganizing
■653 ▼aSoftware packages
■690 ▼a0459
■690 ▼a0723
■690 ▼a0984
■690 ▼a0489
■690 ▼a0537
■71020▼aUniversity of Washington▼bCommunication.
■7730 ▼tDissertations Abstracts International▼g86-03B.
■790 ▼a0250
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17163595▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
