A crowdsourcing practices framework for science funding call processes

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

Abstract

Public scientific research funding agencies (funding agencies) are charged with the task of implementing government science policy and identifying research projects worthy of funding. They play an important role in creating value for society through funding research and informing research policy. However, the work of funding agencies in recent years has been hampered by various challenges in call processes. This research proposes crowdsourcing as a potential solution for funding agencies. Information systems research has engaged with crowdsourcing and the open innovation phenomenon. Crowdsourcing has been utilised by both private organisations and governments in the seeking solutions to similar types of challenges. Despite this fact, no crowdsourcing frameworks have been adapted to address the types of challenges faced by funding agencies in call processes. This research seeks to identify challenges faced by funding agencies for the purposes adapting a crowdsourcing practices framework to address these challenges.

Original languageEnglish
Title of host publicationProceedings of the 13th International Symposium on Open Collaboration Companion, OpenSym 2017
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450354172
DOIs
Publication statusPublished - 23 Aug 2017
Externally publishedYes
Event13th International Symposium on Open Collaboration, OpenSym 2017 - Galway, Ireland
Duration: 23 Aug 201725 Aug 2017

Publication series

NameProceedings of the 13th International Symposium on Open Collaboration Companion, OpenSym 2017

Conference

Conference13th International Symposium on Open Collaboration, OpenSym 2017
Country/TerritoryIreland
CityGalway
Period23/08/1725/08/17

Keywords

  • Crowdsourcing
  • Open innovation
  • Scientific research funding agencies

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