The Benjamini-Hochberg Procedure is a statistical method used to control the false discovery rate (FDR) when conducting multiple hypothesis tests. It is designed to provide a balance between discovering true effects and limiting the proportion of false positives, making it particularly useful in fields with large datasets like genomics and neuroimaging.