Massively distributed authorship of academic papers

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

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

17 Citations (Scopus)

Abstract

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 publicationExtended Abstracts - The 30th ACM Conference on Human Factors in Computing Systems, CHI 2012
Pages11-20
Number of pages10
DOIs
Publication statusPublished - 27 Jun 2012
Externally publishedYes
EventInternational Conference on Human Factors in Computing Systems 2012 - Austin, United States of America
Duration: 5 May 201210 May 2012
Conference number: 30th

Conference

ConferenceInternational Conference on Human Factors in Computing Systems 2012
Abbreviated titleCHI 2012
CountryUnited States of America
CityAustin
Period5/05/1210/05/12

Keywords

  • collaboration
  • crowdsourcing
  • scholarship
  • writing

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