Minitrack: Collective Intelligence and Crowds
HICSS 52 http://hicss.hawaii.edu/ Track: Digital and Social Media
January 8-11, 2019, Maui, Hawaii, USA
This minitrack is open to analysis of collective intelligence, knowledge creation, and crowdsourcing. We think that assemblages of people and machines are making new forms of organization possible, and we are interested in research that explores these new forms of organization. The minitrack invites papers that look at crowd sourcing, at idea generation, at remixing communities, and hybrid organizations in which learning machines plays a strong role.
We live surrounded by socially constructed identities – organizations, nations, websites – all of which are constituted through a complex interplay of interactions, a kind of distributed cognition. These Internet platforms allow people to aggregate knowledge from socially distant areas. They also allow diverse groups of people – and maybe autonomous learning machines – to negotiate identities. With these socio-technical configurations we can build collective intelligences that themselves will steer the quest for knowledge. These collectives can be self-catalyzing, deciding individually or collaboratively what to do next, out of which novel and practical ideas emerge.
While these open design collectives rely on organic growth and slow embedding of members in the network, alternative structures based on crowds can be assembled more rapidly. Between the two extremes are a host of different organizational and social structures, in which committed members of a community create, improve, and share ideas. The output of these socio-technical systems often takes the form of digital media, and their traces are varied, ranging from ephemeral short messages to curated collaborative knowledge repositories.
We are interested in 1) papers that observe, analyze, or visualize these socio-technical structures and their outputs: for example, analyses of open design and open source collectives 2) papers that analyze the phenomena of crowdsourcing, collective intelligence and collaborative mass knowledge production; 3) design research that creates and evaluates new tools and processes for crowds and communities; and 4) papers that simulate the production processes and outcomes through software.
We are open to papers that explore unusual ways of modeling emergent organizations: models that demonstrate or reflect the influence of social systems on user behaviors, models that consider the multiple connections between people, technology, and institutions, models of technological and social affordances, models that break personal identity into sub-relations, models that examine the emergence of roles, identity, and institutions, as well as socio-technical models of deviance and disruption. We are particularly interested in papers that apply the foundational ideas of James Coleman, James March, Herb Simon, Mark Granovetter, Harrison White, Charles Tilly and related scholars to modern information systems. We are open to papers concerned with how to visualize large scale social phenomena. And papers that analyze the role machine algorithms and human processes play in our politics and our personal interactions.
In sum, the content of the minitrack is open to analysis of collective intelligence, new sociotechnical configuration of knowledge creation, and crowdsourcing. Included also is the analysis of social interaction as a way of describing underlying social structure. Thus, the track is open to a wide range of content areas that lend themselves to the analysis of relations between people, collectives, and machines, as well as the products produced as a result of these relations.
– April 15: Paper submission begins
– June 15: Paper submissions deadline
– August 17: Notification of Acceptance/Rejection
– September 22: Deadline for authors to submit final manuscript for publication
– October 1: Deadline for at least one author to register for HICSS-52
Conference Website: http://hicss.hawaii.edu/
Author Guidelines: http://hicss.hawaii.edu/tracks-and-minitracks/authors/