The Case for Collaborative Policy Experimentation Using Advanced Geospatial Data Analytics and Visualisation

1Citations
Citations of this article
22Readers
Mendeley users who have this article in their library.
Get full text

Abstract

PoliVisu is a new Research and Innovation project specifically designed to utilise stakeholder knowledge by creating a more collaborative policy making process. By harnessing visualisation technologies, PoliVisu begins to close data gaps that have long impeded effective policymaking. As problems are illuminated, policy-making can become more targeted, with attention appropriately and efficiently directed; more tailored, so that responses fit divergent needs; more nimble, able to adjust quickly to changing circumstances; and more experimental, with real-time testing of how problems respond to different strategies. This paper outlines the theory behind the design of PoliVisu and the expected impact of this new policy modelling approach.

Cite

CITATION STYLE

APA

McAleer, S. R., Kogut, P., & Raes, L. (2018). The Case for Collaborative Policy Experimentation Using Advanced Geospatial Data Analytics and Visualisation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10750 LNCS, pp. 137–152). Springer Verlag. https://doi.org/10.1007/978-3-319-77547-0_11

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free