A Leader-Driven Open Collaboration Platform for Exploring New Domains

This paper describes the design and initial evaluation of a leader-driven open collaboration platform for exploring new domains. The goal of this platform is to enable the collaboration of subject matter experts across knowledge boundaries. Traditionally, new domains are explored from within a single specialist or a focused group perspective. However, this often introduces bias. Collaboration helps reduce such bias by providing access to a broader range of information sources, increasing the chances for producing new insights in a new domain. However, it also introduces a new problem: variance between the contributions made. Variance makes it difficult to produce a coherent document. In this paper, we derive propositions about how leader-driven open collaboration is expected to help reduce bias while containing variance. We also offer an initial evaluation of these propositions based on our observations from developing an initial prototype of the open collaboration platform.

[1]  Pamela J. Hinds,et al.  Team diversity and information use , 2005 .

[2]  Peter Henderson,et al.  Narrative-based writing for coherent technical documents , 2007, SIGDOC '07.

[3]  Panagiotis G. Ipeirotis,et al.  Beat the Machine: Challenging Workers to Find the Unknown Unknowns , 2011, Human Computation.

[4]  P. Resnick,et al.  Building Successful Online Communities: Evidence-Based Social Design , 2012 .

[5]  G. Lanckriet,et al.  Crowdsourcing the Unknown: The Satellite Search for Genghis Khan , 2014, PloS one.

[6]  J. Hayes,et al.  A Cognitive Process Theory of Writing , 1981, College Composition & Communication.

[7]  Michael Weiss,et al.  Crowdsourcing Literature Reviews in New Domains , 2016 .

[8]  Michael S. Bernstein,et al.  Ensemble: exploring complementary strengths of leaders and crowds in creative collaboration , 2014, CSCW.

[9]  C. Fukunaga,et al.  Supporting Collaborative Writing with Microtasks , 2016 .

[10]  Nancy L. Leech,et al.  Qualitative Analysis Techniques for the Review of the Literature , 2012 .

[11]  B. Green,et al.  Writing narrative literature reviews for peer-reviewed journals: secrets of the trade. , 2006, Journal of chiropractic medicine.

[12]  D. Allison,et al.  Using Crowdsourcing to Evaluate Published Scientific Literature: Methods and Example , 2014, PloS one.

[13]  Michael S. Bernstein,et al.  Human-Computer Interaction and Collective Intelligence , 2014 .

[14]  Amy Bruckman,et al.  Redistributing leadership in online creative collaboration , 2013, CSCW.

[15]  Aniket Kittur,et al.  Crowd synthesis: extracting categories and clusters from complex data , 2014, CSCW.