Hybrid community participation in crowdsourced early warning systems

Nick LaLone, Andrea H. Tapia, Nathan A. Case, Elizabeth MacDonald, Michelle Hall, Matt Heavner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationISCRAM 2015 Conference Proceedings - 12th International Conference on Information Systems for Crisis Response and Management
EditorsLeysia A. Palen, Tina Comes, Monika Buscher, Amanda Lee Hughes, Leysia A. Palen
PublisherInformation Systems for Crisis Response and Management, ISCRAM
Pages203-213
Number of pages11
ISBN (Electronic)9788271177881
StatePublished - Jan 1 2015
Event12th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2015 - Kristiansand, Norway
Duration: May 24 2015May 27 2015

Publication series

NameISCRAM 2015 Conference Proceedings - 12th International Conference on Information Systems for Crisis Response and Management
Volume2015-January

Other

Other12th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2015
CountryNorway
CityKristiansand
Period5/24/155/27/15

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Electrical and Electronic Engineering
  • Information Systems and Management
  • Computer Networks and Communications

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  • Cite this

    LaLone, N., Tapia, A. H., Case, N. A., MacDonald, E., Hall, M., & Heavner, M. (2015). Hybrid community participation in crowdsourced early warning systems. In L. A. Palen, T. Comes, M. Buscher, A. L. Hughes, & L. A. Palen (Eds.), ISCRAM 2015 Conference Proceedings - 12th International Conference on Information Systems for Crisis Response and Management (pp. 203-213). (ISCRAM 2015 Conference Proceedings - 12th International Conference on Information Systems for Crisis Response and Management; Vol. 2015-January). Information Systems for Crisis Response and Management, ISCRAM.