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AURORASAURUS: Citizen Science, Early Warning Systems and Space Weather

Authors

Andrea Tapia,Nicolas LaLone,Elizabeth MacDonald,Michelle Hall,Nathan Case,Matt Heavner

Penn State University,Penn State University,NASA-Goddard,Science Education Solutions,NASA Goddard and New Mexico Consortium,New Mexico Consortium, White House OSTP, and Los Alamos National Laboratory


Published:

2014-11-05

Proceedings:

Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 2

Volume

Issue:

Vol. 2 (2014): Second AAAI Conference on Human Computation and Crowdsourcing

Track:

Workshop Citizen + X

Downloads:

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Abstract:

We have created Aurorasaurus, a website, a mobile application and a scientific tool that allows a community of users to better predict sightings of the aurora borealis. Aurorasuarus combines limited space weather science data, participant sightings and the analysis of social media data into a better prediction engine. This then serves to alert interested parties as to nearby sightings.

DOI:

10.1609/hcomp.v2i1.13212


HCOMP

Vol. 2 (2014): Second AAAI Conference on Human Computation and Crowdsourcing


ISBN 978-1-57735-682-0