Read-across is a computational technique that uses toxicity data from data-rich chemicals to predict toxicity for an untested or data-poor chemical. Despite the potential usefulness of read-across to provide information on chemical hazard and risk assessment, its application and acceptance varies among U.S. federal agencies. ICCVAM established a read-across workgroup sponsored by EPA and FDA that conducted a survey of the current applications, tools used, and needs of the agencies represented in the workgroup. Of the agencies surveyed, EPA had the greatest experience in using read-across. However, other agencies indicated that they would benefit from gaining a perspective of the landscape of available tools and guidance. The paper summarizing the survey (Patlewicz et al. 2019) also provided practical case studies to illustrate how the read-across approaches applied by two agencies varied based on agency decision contexts.