@article{Tapia_LaLone_MacDonald_Hall_Case_Heavner_2014, title={AURORASAURUS: Citizen Science, Early Warning Systems and Space Weather}, volume={2}, url={https://ojs.aaai.org/index.php/HCOMP/article/view/13212}, DOI={10.1609/hcomp.v2i1.13212}, abstractNote={ <p> 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. </p> }, number={1}, journal={Proceedings of the AAAI Conference on Human Computation and Crowdsourcing}, author={Tapia, Andrea and LaLone, Nicolas and MacDonald, Elizabeth and Hall, Michelle and Case, Nathan and Heavner, Matt}, year={2014}, month={Oct.}, pages={30-32} }