Bolstering Environmental Data Science With Equity-centered Approaches

A new perspective article advocates for the integration of socioecological equity into environmental data science and machine learning to address issues of bias and inequity. The Systemic Equity Framework and Wells-Du Bois Protocol are introduced as tools for ensuring fair and unbiased outcomes.