The Innovation Ecology: Collaborative Information, Community Support, and Policy in a Creative Technology Community

Guo Freeman, Jeffrey Bardzell, Shaowen Bardzell, Nathan J. McNeese

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

2 Scopus citations

Abstract

In this paper, we explore a network of distributed individuals’ collective efforts to establish an innovation ecology allowing them to engage in bottom up creative technological practices in today’s information society. Specifically, we present an empirical study of the technological practices in an emerging creative technology community – independent [indie] game developers in the United States. Based on indie game developers’ own accounts, we identified four themes that constitute an innovation ecology from the bottom up, including problem solving; collaborative information seeking, sharing, and reproducing; community support; and policy and politics. We argue that these findings inform our understanding of bottom up technological innovation and shed light on the design of sociotechnical systems to mediate and support such innovation beyond the gaming context.

Original languageEnglish (US)
Title of host publicationInformation in Contemporary Society - 14th International Conference, iConference 2019, Proceedings
EditorsNatalie Greene Taylor, Michelle H. Martin, Caitlin Christian-Lamb, Bonnie Nardi
PublisherSpringer Verlag
Pages614-624
Number of pages11
ISBN (Print)9783030157418
DOIs
StatePublished - 2019
Event14th International Conference on Information in Contemporary Society, iConference 2019 - Washington, United States
Duration: Mar 31 2019Apr 3 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11420 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Conference on Information in Contemporary Society, iConference 2019
Country/TerritoryUnited States
CityWashington
Period3/31/194/3/19

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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