Authors: Mariana Jeunon (NASA GSFC/CUA), Sophie Musset (APL), Paloma Jol (Leiden Observatory),Ramana Sankar (, University of Minnesota), Lindsay Glesener (University of Minnesota), Lucy Fortson(University of Minnesota), Gregory Fleishman (New Jersey Institute of Technology), Navdeep Panesar (Lockeed Martin Solar and Astrophysics Laboratory), Y. Zhang (University of Minnesota), Georgia de Nolfo (NASA GSFC), Eric Christian (NASA GSFC)

Solar jets are collimated ejections of solar plasma along magnetic field lines extending to the interplanetary medium. They are commonly observed in soft X-rays and extreme ultraviolet (EUV) and are ubiquitous in the solar atmosphere, assuming various shapes, sizes and velocities. To this day, there’s no reliable algorithm to detecting solar jets. This leads to an incomplete and inhomogeneous database of jets, which presents a challenge for any statistical analysis of solar jets. In order to produce a reliable, extensive, and consistent database of jets, we run a citizen science project on the Zooniverse platform called “Solar Jet Hunter”. The goal of this project is to explore the large amount of EUV observations of the Sun in order to identify and characterize solar jets in the dataset. We report on the setup and early results from the Solar Jet Hunter, which was launched in December 2021, with a particular focus on the challenges and benefits of the use of citizen science for our science goals. We discuss how the database of solar jets thus created will then be used to train algorithms to identify solar jets in EUV data.