TY - GEN
T1 - A collaborative governance approach to partnerships addressing public problems with private data
AU - Susha, Iryna
AU - Gil-Garcia, J. Ramon
N1 - Funding Information:
Data for Climate Action was an initiative of the UN Global Pulse which ran from March to November 2017. This project brought together private sector companies with data scientists from academia and nonprofits and was facilitated and intermediated by an intergovernmental organization, UN Global Pulse. This collaboration culminated in an innovation challenge which aimed to channel data science and big data from the private sector to fight climate change [25]. For this purpose, companies voluntarily shared relevant datasets with teams of researchers who were granted access to these data based on their research proposals. Nine companies provided data to this challenge which included: retail transaction data, social posts from different sources, lightning and weather data, sales of select products, call detail records, satellite imagery, air pollution data, weather observations API, and local road conditions. The initiative was made possible thanks to the support from Western Digital (an American corporation providing data storage solutions) and Skoll Global Threats Fund (an American nonprofit supporting social entrepreneurship). We selected this case as an illustrative example because (1) it is set in an international context and (2) it is a finished project which showed results. This makes it possible to discuss all elements of the framework from the inception to the impact phase. We do so on the basis of desk research and review of literature as our work is conceptual at this point.
Publisher Copyright:
© 2019 IEEE Computer Society. All rights reserved.
PY - 2019
Y1 - 2019
N2 - The recent explosion of data, which is generated, collected, and exchanged, opens up new opportunities and poses new challenges. Actors in different sectors have recently began to explore how they can work together and leverage these data to help address 'wicked' problems. A novel form of cross sector partnership emerges, labelled “data collaborative”, which is normally focused on accessing private sector data and using it to address complex public problems. While there is emerging knowledge about how data can be shared in such partnerships, less is known about the collaboration dynamics of these partnerships. In this paper, we examine this problem from the perspective of collaborative governance and propose a framework for understanding collaboration around data sharing for public good.
AB - The recent explosion of data, which is generated, collected, and exchanged, opens up new opportunities and poses new challenges. Actors in different sectors have recently began to explore how they can work together and leverage these data to help address 'wicked' problems. A novel form of cross sector partnership emerges, labelled “data collaborative”, which is normally focused on accessing private sector data and using it to address complex public problems. While there is emerging knowledge about how data can be shared in such partnerships, less is known about the collaboration dynamics of these partnerships. In this paper, we examine this problem from the perspective of collaborative governance and propose a framework for understanding collaboration around data sharing for public good.
UR - http://www.scopus.com/inward/record.url?scp=85076405463&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85076405463
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 2892
EP - 2901
BT - Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019
A2 - Bui, Tung X.
PB - IEEE
T2 - 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019
Y2 - 8 January 2019 through 11 January 2019
ER -