With the recent output of citizen science-based investigations, such as those related to auroral phenomena and the Heliophysics Big Year (HBY) initiative, citizen science is becoming a more broadly enabling mechanism for scientific investigations. These investigations also incorporate an increasingly diverse array of datasets and methodologies, including crowd-sourced spatially distributed datasets, different kinds of visual classifications of auroral, solar, and lunar terrain images, feature identification in particle spectra, and auditory classifications of wave power spectral densities. This session focuses on the scientific motivation and outcomes of citizen science projects in the space sciences, highlighting studies that have been actively developing and using citizen science-derived datasets across heliophysics and planetary science. Along with results from citizen science-based investigations, presentations describing challenges and lessons learned (e.g., working with different platforms, interfacing with volunteers, tailoring tasks for accessibility while still retaining scientific usability, etc.) are welcome.

• P - Planetary Sciences
• SH - SPA-Solar and Heliospheric Physics
• SM - SPA-Magnetospheric Physics