Revealing flows in the local economy through visualisations : customers, [clicks/cliques] and clusters

Lochrie, Mark and Whittle, Jon and Knowles, Bran and Huck, Jonny and Coulton, Paul and Hallam, Michael (2014) Revealing flows in the local economy through visualisations : customers, [clicks/cliques] and clusters. In: AcademicMindTrek '14 Proceedings of the 18th International Academic MindTrek Conference: Media Business, Management, Content & Services :. ACM, FIN, pp. 148-151. ISBN 9781450330060

[thumbnail of Revealing Flows]
Preview
PDF (Revealing Flows)
Revealing_Flows_in_the_Local_Economy_through_Visualisations_Customers_Clicks_Cliques_and_Clusters.pdf - Accepted Version

Download (1MB)

Abstract

It is well known by now, that the world has suffered an economic downturn. This has led many governments and organisations to invest resources into researching varying strategies to combat such problem. For some time now, governments have been promoting growth by encouraging local spending; we have witnessed this through ‘shop local’ campaigns and local currencies. We introduce BARTER a moBile sociAl netwoRking supporTing local Ethical tRading system to tackle this issue, at it’s core an information system that encompasses technology, social media and business analytics are brought together to engage customers, traders and citizens to spend locally by featuring the intrinsic and extrinsic motivations of trading local. After situating BARTER at the heart of the community (with varying traders in and around Lancaster, UK) for some time, this paper is a follow on from a “BARTER Visualisations” design concept, reporting on the progression and recent developments in the project. Whilst these systems are in place within the community, further research is being conducted to evaluate if revealing and transforming transaction data in a playful and informative manner will help citizens better understand the flow of money in the local economy.

Item Type:
Contribution in Book/Report/Proceedings
Subjects:
?? designrhetoricvisualisation of datapersuasive ??
ID Code:
71527
Deposited By:
Deposited On:
11 Nov 2014 09:44
Refereed?:
Yes
Published?:
Published
Last Modified:
20 Dec 2024 01:03