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Author
Nick LaLone
;
Andrea H. Tapia
;
Nathan A. Case
;
Elizabeth MacDonald
;
Michelle Hall
;
Matt Heavner
Title
HYBRID COMMUNITY PARTICIPATION IN CROWDSOURCED EARLY WARNING SYSTEMS
Type
Conference Article
Year
2015
Publication
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management
Abbreviated Journal
ISCRAM 2015
Volume
Issue
Pages
Keywords
Aurorasaurus
;
citizen science
;
crowdsourcing
;
Early Warning System
;
Twitter
Abstract
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.
Address
Corporate Author
Thesis
Publisher
University of Agder (UiA)
Place of Publication
Kristiansand, Norway
Editor
L. Palen; M. Buscher; T. Comes; A. Hughes
Language
English
Summary Language
English
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
2411-3387
ISBN
9788271177881
Medium
Track
Community Engagement
Expedition
Conference
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management
Notes
Approved
yes
Call Number
Serial
1270
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