Proceedings of the 18th ACM Conference Companion on Computer Supported Cooperative Work & Social Computing PDF Download
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Author:
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ISBN: 9781450329460
Category : Computer science
Languages : en
Pages :
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Author:
Publisher:
ISBN: 9781450329460
Category : Computer science
Languages : en
Pages :
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Author: Darren Gergle
Publisher:
ISBN: 9781450339506
Category : Computer science
Languages : en
Pages :
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CSCW '16: Computer Supported Cooperative Work and Social Computing Feb 27, 2016-Mar 02, 2016 San Francisco, USA. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.
Author:
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ISBN: 9781450329224
Category : Groupware
Languages : en
Pages :
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Author: Amy Bruckman
Publisher:
ISBN: 9781450313322
Category : Computer science
Languages : en
Pages : 338
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Author:
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ISBN: 9781450329460
Category : Groupware
Languages : en
Pages :
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Author: Charlotte P. Lee
Publisher:
ISBN: 9781450346887
Category :
Languages : en
Pages :
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CSCW '17: Computer Supported Cooperative Work and Social Computing Feb 25, 2017-Mar 01, 2017 Portland, USA. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.
Author:
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ISBN: 9781450325417
Category : Microcomputer workstations
Languages : en
Pages : 352
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Author:
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ISBN:
Category : Groupware
Languages : en
Pages :
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Author: Cecilia Aragon
Publisher: MIT Press
ISBN: 0262367599
Category : Computers
Languages : en
Pages : 201
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Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets. Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and presents practical guidelines and real-world case studies to help readers apply these methods. The authors explain how data scientists’ choices are involved at every stage of the data science workflow—and show how a human-centered approach can enhance each one, by making the process more transparent, asking questions, and considering the social context of the data. They describe how tools from social science might be incorporated into data science practices, discuss different types of collaboration, and consider data storytelling through visualization. The book shows that data science practitioners can build rigorous and ethical algorithms and design projects that use cutting-edge computational tools and address social concerns.
Author: Vanessa Evers
Publisher:
ISBN: 9781450360180
Category : Computer science
Languages : en
Pages : 0
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