Simultaneous inference refers to the statistical process of making multiple inferences at the same time while controlling the overall error rate, often using methods like the Bonferroni correction or the False Discovery Rate. This approach is crucial in fields like genomics or clinical trials, where multiple hypothesis tests are conducted simultaneously, and the risk of Type I errors must be minimized.