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Imagining and Enacting Computing Futures with the Arts: Thinking with Bodymind, Movement Improvisation, and Scores
Imagining and Enacting Computing Futures with the Arts: Thinking with Bodymind, Movement Improvisation, and Scores
Detailed Information
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202105235
- ISBN
- 9798291567739
- DDC
- 004
- 서명/저자
- Imagining and Enacting Computing Futures with the Arts: Thinking with Bodymind, Movement Improvisation, and Scores
- 발행사항
- [Sl] : University of Michigan, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 192 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-02, Section: B.
- 주기사항
- Advisor: Hemphill, Libby.
- 학위논문주기
- Thesis (Ph.D.)--University of Michigan, 2025.
- 초록/해제
- 요약Ample scholarship, journalism, and advocacy work has identified societal harms that algorithms can perpetuate. Work by data professionals, or people involved in algorithm design, implementation, or application (ADIA), has contributed to these unacceptable algorithmic harms. However, additional scholarship suggests that data professionals can minimize algorithmic harm by integrating principles of data feminism, relational ethics, or data ethics among others into their work. This dissertation draws on early computing theory, cybernetics, new materialism, and the arts to develop and evaluate a collection of theoretical and methodological interventions for data professionals to enact these principles in their day-to-day workflows. By challenging predominant epistemological, moral, social, economic, and political logics ingrained in ADIA, these interventions make space for data professionals to integrate principles like care, embodiment, relationality, and others that scholars propose can mitigate algorithmic harms. At the same time, data professionals describe obstacles to successfully enacting these new ADIA imaginaries in their workplaces: a lack of pre-existing infrastructural support, personal and collegial risk, perceived lack of authority or agency, and workplace emphases on productivity and efficiency. This dissertation concludes by proposing steps towards overcoming these obstacles like future research with sales professionals and upper level management, cultivating community to support data professionals interested in enacting more just and equitable computing futures, and cross-disciplinary collaborations between data professionals and artists.
- 일반주제명
- Computer science
- 일반주제명
- Dance
- 일반주제명
- Information science
- 키워드
- Computing
- 키워드
- Dance methods
- 키워드
- Improvisation
- 키워드
- Scores
- 키워드
- Labor
- 기타저자
- University of Michigan Information
- 기본자료저록
- Dissertations Abstracts International. 87-02B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■020 ▼a9798291567739
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■035 ▼a(MiAaPQ)umichrackham006227
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a004
■1001 ▼aSchopke-Gonzalez, Angela.
■24510▼aImagining and Enacting Computing Futures with the Arts: Thinking with Bodymind, Movement Improvisation, and Scores
■260 ▼a[Sl]▼bUniversity of Michigan▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a192 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-02, Section: B.
■500 ▼aAdvisor: Hemphill, Libby.
■5021 ▼aThesis (Ph.D.)--University of Michigan, 2025.
■520 ▼aAmple scholarship, journalism, and advocacy work has identified societal harms that algorithms can perpetuate. Work by data professionals, or people involved in algorithm design, implementation, or application (ADIA), has contributed to these unacceptable algorithmic harms. However, additional scholarship suggests that data professionals can minimize algorithmic harm by integrating principles of data feminism, relational ethics, or data ethics among others into their work. This dissertation draws on early computing theory, cybernetics, new materialism, and the arts to develop and evaluate a collection of theoretical and methodological interventions for data professionals to enact these principles in their day-to-day workflows. By challenging predominant epistemological, moral, social, economic, and political logics ingrained in ADIA, these interventions make space for data professionals to integrate principles like care, embodiment, relationality, and others that scholars propose can mitigate algorithmic harms. At the same time, data professionals describe obstacles to successfully enacting these new ADIA imaginaries in their workplaces: a lack of pre-existing infrastructural support, personal and collegial risk, perceived lack of authority or agency, and workplace emphases on productivity and efficiency. This dissertation concludes by proposing steps towards overcoming these obstacles like future research with sales professionals and upper level management, cultivating community to support data professionals interested in enacting more just and equitable computing futures, and cross-disciplinary collaborations between data professionals and artists.
■590 ▼aSchool code: 0127.
■650 4▼aComputer science
■650 4▼aDance
■650 4▼aInformation science
■653 ▼aInformation theory
■653 ▼aComputing
■653 ▼aDance methods
■653 ▼aImprovisation
■653 ▼aScores
■653 ▼aLabor
■690 ▼a0723
■690 ▼a0378
■690 ▼a0984
■71020▼aUniversity of Michigan▼bInformation.
■7730 ▼tDissertations Abstracts International▼g87-02B.
■790 ▼a0127
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17359914▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
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