Nicolas LaLone
Andrea Tapia
ABSTRACT
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.
Supplemental Material
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Digital Library
- Kim, S., Mankoff, J., & Paulos, E. (2013, February). Sensr: evaluating a flexible framework for authoring mobile data-collection tools for citizen science. In Proceedings of the 2013 conference on Computer supported cooperative work (pp. 1453--1462). ACM. Google ScholarDigital Library
- Newell, P. T., Sotirelis, T., & Wing, S. (2009). Diffuse, monoenergetic, and broadband aurora: The global precipitation budget. Journal of Geophysical Research: Space Physics (1978--2012), 114, A9.Google Scholar
- Nov, O., Arazy, O., & Anderson, D. (2011, July). Technology-Mediated Citizen Science Participation: A Motivational Model. In ICWSM.Google Scholar
- Sigernes, F., Dyrland, M., Brekke, P., Gjengedal, E. K., Chernouss, S., Lorentzen, D. A., Oksavik, K., & Center, S. W. (2011). Real time aurora oval forecasting - SvalTrackII. In other words, 3, 3.Google Scholar
- Tapia, A.; Lalone, Nicolas; MacDonald, Elizabeth; Hall, Michelle (2014) Crowdsourcing Rare Events: Using Curiosity to Draw Participants into Science and Early Warning Systems. Proceedings of the 11th ISCRAM.Google Scholar
- Tapia, A. H., LaLone, N., & Kim, H. W. (2014). Run Amok: Group Crowd Participation in Identifying the Bomb and Bomber from the Boston Marathon Bombing. Proceedings of the 11th ISCRAM.Google Scholar
Index Terms
- Harnessing Twitter and Crowdsourcing to Augment Aurora Forecasting
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