AURORASAURUS: Citizen Science, Early Warning Systems and Space Weather

Authors

  • Andrea Tapia Penn State University
  • Nicolas LaLone Penn State University
  • Elizabeth MacDonald NASA-Goddard
  • Michelle Hall Science Education Solutions
  • Nathan Case NASA Goddard and New Mexico Consortium
  • Matt Heavner New Mexico Consortium, White House OSTP, and Los Alamos National Laboratory

Keywords:

Crowdsourcing, Citizen Science, Aurora, Space weather, twitter

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.

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Published

2014-10-14

How to Cite

Tapia, A., LaLone, N., MacDonald, E., Hall, M., Case, N., & Heavner, M. (2014). AURORASAURUS: Citizen Science, Early Warning Systems and Space Weather. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 2(1). Retrieved from https://ojs.aaai.org/index.php/HCOMP/article/view/13212