@inproceedings{603fd5cc4dd541af8c38654ff0a4d8f1,
title = "Hybrid community participation in crowdsourced early warning systems",
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.",
author = "Nick LaLone and Tapia, {Andrea H.} and Case, {Nathan A.} and Elizabeth MacDonald and Michelle Hall and Matt Heavner",
year = "2015",
language = "English (US)",
series = "ISCRAM 2015 Conference Proceedings - 12th International Conference on Information Systems for Crisis Response and Management",
publisher = "Information Systems for Crisis Response and Management, ISCRAM",
pages = "203--213",
editor = "Palen, {Leysia A.} and Tina Comes and Monika Buscher and Hughes, {Amanda Lee} and Palen, {Leysia A.}",
booktitle = "ISCRAM 2015 Conference Proceedings - 12th International Conference on Information Systems for Crisis Response and Management",
note = "12th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2015 ; Conference date: 24-05-2015 Through 27-05-2015",
}