Massively distributed authorship of academic papers

Bill Tomlinson, Joel Ross, Paul Andre, Eric Baumer, Donald J. Patterson, Joseph Corneli, Martin Mahaux, Syavash Nobarany, Marco Lazzari, Birgit Penzenstadler, Andrew Torrance, David Callele, Gary M. Olson, M. Six Silberman, Marcus Stünder, Fabio Romancini Palamedi, Albert Ali Salah, Eric Morrill, Xavier Franch, Florian MuellerJoseph Kaye, Rebecca W. Black, Marisa Leavitt Cohn, Patrick C. Shih, Johanna Brewer, Nitesh Goyal, Pirjo Näkki, Jeff Huang, Nilufar Baghaei, Craig Saper

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Wiki-like or crowdsourcing models of collaboration can provide a number of benefits to academic work. These techniques may engage expertise from different disciplines, and potentially increase productivity. This paper presents a model of massively distributed collaborative authorship of academic papers. This model, developed by a collective of thirty authors, identifies key tools and techniques that would be necessary or useful to the writing process. The process of collaboratively writing this paper was used to discover, negotiate, and document issues in massively authored scholarship. Our work provides the first extensive discussion of the experiential aspects of large-scale collaborative research.
Original languageEnglish
Title of host publicationCHI Conference on Human Factors in Computing Systems, CHI '12, Extended Abstracts Volume, Austin, TX, USA, May 5-10, 2012
PublisherACM
Pages11-20
Number of pages10
ISBN (Print)978-1-4503-1016-1
DOIs
Publication statusPublished - May 2012

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