TY - GEN
T1 - AURORASAURUS
T2 - 2nd AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2014
AU - Tapia, Andrea
AU - Lalone, Nicolas
AU - MacDonald, Elizabeth
AU - Hall, Michelle
AU - Case, Nathan
AU - Heavner, Matt
N1 - Publisher Copyright:
© HCOMP 2014. All rights reserved.
PY - 2014/11/5
Y1 - 2014/11/5
N2 - 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. We focus on the aurora borealis as a rare and unpredictable event (as a proxy for a natural disaster), as it is in the middle latitudes, highly populated areas in North American and Europe. In the northern half of the continental United States the aurora may be visible once or twice per year. In the Southern half, perhaps only once every 20 years, especially during a solar maximum. We feel that the similarities between natural disaster occurrence and auroral occurrence can offer a chance for researchers to test elements of an Early Warning System. The years around 2014 are the latest solar maximum recurring on an eleven-year solar cycle. Now is the time when aurora is more likely over populated areas, and this is the first solar maximum with social media, an unprecedented opportunity to engage the public, the scientific community, and the media. Space weather scientists have only coarse means to predict where the aurora will occur.
AB - 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. We focus on the aurora borealis as a rare and unpredictable event (as a proxy for a natural disaster), as it is in the middle latitudes, highly populated areas in North American and Europe. In the northern half of the continental United States the aurora may be visible once or twice per year. In the Southern half, perhaps only once every 20 years, especially during a solar maximum. We feel that the similarities between natural disaster occurrence and auroral occurrence can offer a chance for researchers to test elements of an Early Warning System. The years around 2014 are the latest solar maximum recurring on an eleven-year solar cycle. Now is the time when aurora is more likely over populated areas, and this is the first solar maximum with social media, an unprecedented opportunity to engage the public, the scientific community, and the media. Space weather scientists have only coarse means to predict where the aurora will occur.
UR - http://www.scopus.com/inward/record.url?scp=85014992772&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85014992772&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85014992772
T3 - Proceedings of the 2nd AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2014
SP - 30
EP - 32
BT - Proceedings of the 2nd AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2014
A2 - Bigham, Jeffrey P.
A2 - Parkes, David
PB - AAAI press
Y2 - 2 November 2014 through 4 November 2014
ER -