Title

Massively Distributed Authorship of Academic Papers

Authors

Joel Ross, University of Puget SoundFollow
Bill Tomlinson, University of California, Irvine, Irvine, California, USA
Paul Andre, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
Eric Baumer, Cornell University, Ithaca, New York, USA
Donald Patterson, University of California, Irvine, Irvine, California, USA
Joseph Corneli, The Open University, Milton Keynes, Buckinghamshire, UK
Martin Mahaux, University of Namur, Namur, Belgium
Syavash Nobarany, University of British Columbia, Vancouver, British Columbia, Canada
Marco Lazzari, University of Bergamo, Bergamo, Italy
Birgit Penzenstadler, Technische Universität München, Garching, Germany
Andrew Torrance, University of Kansas, Lawrence, Kansas, USA
David Callele, TRLabs Saskatoon, Saskatoon, Saskatchewan, Canada
Gary Olson, University of California, Irvine, Irvine, California, USA
Six Silberman, Bureau of Economic Interpretation, Berkeley, CA, USA
Marcus Stünder, Technische Universit#1086t Darmstadt, Darmstadt, Germany
Fabio Romancini Palamedi, Methodist University, Sao Paolo, Brazil
Albert Ali Salah, Boäziçi Üniversitesi, Istanbul, Turkey
Eric Morrill, University of California, Irvine, Irvine, California, USA
Xavier Franch, Universitat Politecnica de Catalunya, Barcelona, Spain
Florian Floyd Mueller, RMIT University, Melbourne, Australia
Joseph 'Jofish' Kaye, Nokia Research Center, Palo Alto, California, USA
Rebecca W. Black, University of California, Irvine, Irvine, California, USA
Marisa L. Cohn, University of California, Irvine, Irvine, California, USA
Patrick C. Shih, University of California, Irvine, Irvine, California, USA
Johanna Brewer, frestyl
Nitesh Goyal, Cornell University, Ithaca, New York, USA
Pirjo Näkki, VTT Technical Research Centre of Finland
Jeff Huang, University of Washington
Nilufar Baghaei, Unitec
Craig Saper, University of Maryland - Baltimore County

Document Type

Article

Publication Date

2012

Publication Title

alt.chi session of CHI 2012 extended abstracts on human factors in computing systems

Department

Computer Science

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.

pp.

11-20

ISSN

0010-4124