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HYBRID COMMUNITY PARTICIPATION IN CROWDSOURCED EARLY WARNING SYSTEMS
Nick LaLone
author
Andrea H. Tapia
author
Nathan A. Case
author
Elizabeth MacDonald
author
Michelle Hall
author
Matt Heavner
author
2015
University of Agder (UiA)
Kristiansand, Norway
English
In this paper we present Aurorasaurus: a website, a mobile application, and a citizen science initiative that allows a community of users to report and verify sightings of the Aurora Borealis. Through ad-hoc data indirectly offered through social media, a community of citizen scientists verify sightings of the Aurora Borealis. These verified data are tested against currently existing aurora-forecasting models. The insights these data provide are transformed into map and text-based forms. In addition, notifications are sent to interested participants in a timely manner. This is a design test-bed for an early warning system (EWS) that is capable of detecting and communicating the earliest signs of disaster to community members in near real time. Most importantly, this system incorporates community participation in improving the quality of data mined from Twitter and direct community contributions.
Aurorasaurus
citizen science
crowdsourcing
Early Warning System
Twitter
exported from refbase (http://idl.iscram.org/show.php?record=1270), last updated on Mon, 09 Nov 2015 12:41:58 +0100
text
http://idl.iscram.org/files/nicklalone/2015/1270_NickLaLone_etal2015.pdf
NickLaLone_etal2015
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management
ISCRAM 2015
L. Palen
editor
M. Buscher
editor
T. Comes
editor
A. Hughes
editor
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management
2015
University of Agder (UiA)
Kristiansand, Norway
conference publication
9788271177881
2411-3387
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