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出版商:
Routledge
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出版日期:
2024-02-26
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售價:
$6,400
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貴賓價:
9.5 折
$6,080
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語言:
英文
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頁數:
346
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裝訂:
Hardcover - also called cloth, retail trade, or trade
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ISBN:
9463728481
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ISBN-13:
9789463728485
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相關分類:
Algorithms-data-structures
商品描述
Across sixteen chapters, the volume offers a diverse collection of contributions along three perspectives on algorithmic regimes: the methods necessary to research and design algorithmic regimes, the ways in which algorithmic regimes reconfigure sociotechnical interactions, and the politics engrained in algorithmic regimes.
商品描述(中文翻譯)
本書共分為十六章,提供了三個關於演算法體系的不同觀點的多樣貢獻:研究和設計演算法體系所需的方法、演算法體系如何重新配置社會技術互動的方式,以及演算法體系中根深蒂固的政治。
作者簡介
Juliane Jarke is Professor of Digital Societies at the University of Graz. Her research attends to the increasing importance of digital data and algorithmic systems in the public sector, education and for ageing populations. She received her PhD in Organisation, Work and Technology from Lancaster University and has a background in computer science, philosophy and STS. Bianca Prietl is Professor for Gender Studies with a Focus on Digitalization at University of Basel. Her main area of expertise is feminist technoscience studies, with her more recent work focusing on the interrelations of knowledge, power, and gender in the context of (digital) datafication. Simon Egbert, PhD, is a postdoc researcher at the faculty of sociology of Bielefeld University, working in the research project 'The Social Consequences of Algorithmic Forecast in Insurance, Medicine and Policing' (ERC grant agreement No. 833749). His research interests are science and technology studies, algorithm studies, sociology of testing and sociology of the future. Yana Boeva is a Postdoctoral Researcher at the Institute for Social Sciences and the Cluster of Excellence "Integrative Computational Design and Construction for Architecture (IntCDC)", University of Stuttgart. Her research explores the transformation of design, architectural practice, and different user expectations of computation and automation. Hendrik Heuer, Dr., is a senior researcher at the University of Bremen. His research focuses on Human-Computer Interaction and Machine Learning. Currently, he is working on ways to fight misinformation. He studied and worked in Bremen, Stockholm, Helsinki, and Amsterdam and was a visiting postdoctoral research fellow at Harvard University Maike Arnold is a research associate at the KRITIS research training group and the Institute of Philosophy at TU Darmstadt. Their research focuses on trust in testimony in the context of critical decision making, especially concerning critical infrastructures and in the context of the algorithmization of information technology systems.
作者簡介(中文翻譯)
朱莉安娜·雅克(Juliane Jarke)是格拉茨大學數位社會學的教授。她的研究關注於數位數據和算法系統在公共部門、教育以及老年人口中的日益重要性。她在蘭卡斯特大學獲得組織、工作與技術的博士學位,並擁有計算機科學、哲學和科技與社會(STS)的背景。比安卡·普里特爾(Bianca Prietl)是巴塞爾大學專注於數位化的性別研究教授。她的主要專業領域是女性主義科技科學研究,最近的工作集中於(數位)數據化背景下知識、權力和性別之間的相互關係。西蒙·埃格伯特(Simon Egbert)博士是比勒費爾德大學社會學系的博士後研究員,參與研究項目「算法預測在保險、醫療和執法中的社會後果」(歐洲研究委員會資助協議編號 833749)。他的研究興趣包括科學與技術研究、算法研究、測試社會學和未來社會學。雅娜·博耶瓦(Yana Boeva)是斯圖加特大學社會科學研究所及「建築的整合計算設計與建設(IntCDC)」卓越集群的博士後研究員。她的研究探討設計、建築實踐及不同用戶對計算和自動化的期望的轉變。亨德里克·霍伊爾(Hendrik Heuer)博士是不來梅大學的高級研究員。他的研究專注於人機互動和機器學習。目前,他正在研究對抗錯誤信息的方法。他曾在不來梅、斯德哥爾摩、赫爾辛基和阿姆斯特丹學習和工作,並曾是哈佛大學的訪問博士後研究員。邁克·阿諾德(Maike Arnold)是達姆施塔特工業大學KRITIS研究訓練小組和哲學研究所的研究助理。他們的研究專注於在關鍵決策過程中對證詞的信任,特別是關於關鍵基礎設施和信息技術系統算法化的背景。