Harnessing Twitter and crowdsourcing to augment aurora forecasting

Nicolas LaLone, Andrea Tapia, Elizabeth MacDonald, Nathan Case, Michelle Hall, Jessica Clayton, Matthew Heavner

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

2 Scopus citations


The aurora borealis and aurora australis are beautiful space weather driven events whose sighting is typically based on luck given that forecasting is not spatially or temporally precise. To help increase the accuracy and timeliness of auroral forecasting, we have designed a multi-faceted system called Aurorasaurus. This system allows crisis management specialists to test reactions to rare event notifications, space weather scientists to get direct sighting information of auroras (complete with pictures), and science education researchers to evaluate the impact of educational materials about the aurora and the physics surrounding this unique phenomenon. Through manual tweet verification and directly reported aurora borealis or aurora australis sightings, everyday users help make space weather and aurora forecasting more accurate.

Original languageEnglish (US)
Title of host publicationCSCW 2015 Companion - Proceedings of the 18th ACM Conference Companion on Computer-Supported Cooperative Work and Social Computing
PublisherAssociation for Computing Machinery
Number of pages4
ISBN (Electronic)9781450329224
ISBN (Print)9781450329460
StatePublished - Feb 28 2015
Event18th ACM Conference Companion on Computer Supported Cooperative Work and Social Computing, CSCW 2015 Companion - Vancouver, Canada
Duration: Mar 14 2015Mar 18 2015

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW


Conference18th ACM Conference Companion on Computer Supported Cooperative Work and Social Computing, CSCW 2015 Companion

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Networks and Communications


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