“…Given the potential impacts of citizen science and the injustices that may arise from some sectors of society not participating, it is vital to explore who is, and who is not, represented in citizen science so inequalities can begin to be addressed. Those studies that have examined participant demographics have shown higher rates of participation in people who are of middle or older age (Crall et al 2013;Wright et al 2015;Domroese and Johnson 2017;Mac Domhnaill, Lyons, and Nolan 2020), have higher levels of education (Trumbull et al 2000;Evans et al 2005;NASEM 2018;Mac Domhnaill, Lyons, and Nolan 2020), have higher household incomes (Overdevest, Orr, and Stepenuck 2004;Mac Domhnaill, Lyons, and Nolan 2020), are in areas with lower levels of deprivation (Hobbs and White 2012), are employed (Crall et al 2013;Mac Domhnaill, Lyons, and Nolan 2020), are in rural areas (Evans et al 2005;Mac Domhnaill, Lyons, and Nolan 2020), and who identify as being from white ethnic groups compared with those identifying as from other ethnic groups (e.g., Wright et al 2015;Merenlender et al 2016;Domroese and Johnson, 2017;NASEM 2018). Participation by gender is less straightforward, with some studies finding higher participation rates in men (Wright et al 2015;Ganzevoort et al 2017;NASEM 2018), others in women (Crall et al 2013;Merenlender et al 2016;Domroese and Johnson 2017), and others finding no difference (Mac Domhnaill, Lyons, and Nolan 2020), which may be a result of the type of project or location of participants being examined.…”