Myths of High-Throughput Experimentation and Automation in Chemistry

High-throughput experimentation (HTE) can be a powerful tool in chemical research, and the large datasets it generates could play a role in applying machine-learning methods to chemical predictions. But high-throughput experimentation can sometimes be viewed as inaccessible to the academic chemist. This Voices, in conjunction with our recent panel (https://www.brighttalk.com/webcast/16651/499811), asks: what are the myths associated with high-throughput experimentation? What is the role of automation in chemistry moving forward?