TY - GEN
T1 - A crowdsourcing practices framework for science funding call processes
AU - Cullina, Eoin
N1 - Publisher Copyright:
© 2017 ACM.
PY - 2017/8/23
Y1 - 2017/8/23
N2 - 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.
AB - 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.
KW - Crowdsourcing
KW - Open innovation
KW - Scientific research funding agencies
UR - http://www.scopus.com/inward/record.url?scp=85029692543&partnerID=8YFLogxK
U2 - 10.1145/3126673.3126683
DO - 10.1145/3126673.3126683
M3 - Conference contribution
AN - SCOPUS:85029692543
T3 - Proceedings of the 13th International Symposium on Open Collaboration Companion, OpenSym 2017
BT - Proceedings of the 13th International Symposium on Open Collaboration Companion, OpenSym 2017
PB - Association for Computing Machinery, Inc
T2 - 13th International Symposium on Open Collaboration, OpenSym 2017
Y2 - 23 August 2017 through 25 August 2017
ER -