Citizen Science Classification of Long-Baseline Stellar Variability in the SuperWASP All-Sky Survey

In this thesis, I describe several investigations of the photometry archives of the SuperWASP All-Sky Survey. These investigations relate to the themes of identifying stellar variability, taking advantage of the long-baseline nature of the SuperWASP observations, and applying citizen science (CS) to overcome the difficulties of finding rare events among a large, noisy dataset. Much of this work builds upon the <i>SuperWASP Variable Stars</i> (SVS) CS project. I describe the creation of the <i>Variable Star Photometry Archive</i> (VeSPA), which is a website which allows the results of SVS to be accessed and downloaded by the public, including the CS volunteers, amateur astronomers, and professionals. I detail an additional workflow I created on SVS to rapidly remove spurious ``junk'' light curves, resulting in thousands of light curves being classified more quickly. I carried out a search for new long-period pulsating variable stars, including a comparison of the pulsation periods of thousands of known Mira variables as recorded by SuperWASP against their catalogued periods and identification of 183 new long-period variable candidates. I then describe an investigation of HD 38451, a shell star which inexplicably changed colour in the mid-19th century. Recent reports of rapid variability were seemingly at odds with the shell star classification. I compared observations from INTEGRAL OMC, SuperWASP, and TESS to look for signs of rapid variability. I could find none, and in fact I find a clear rotational modulation in the TESS light curve consistent with the original shell star classification. Finally, I describe my work on the <i>SuperWASP: Black Hole Hunters</i> citizen science project, which searched for microlensing event candidates. I carried out aggregation of citizen science classifications, analysis to remove false positives, and modelling to determine lens physical properties. This resulted in a list of 19 microlensing event candidates.