Provides the practical knowledge of how new technologies impact organic synthesis, enabling the reader to understand literature, evaluate different techniques, and solve synthetic challenges. In recent years, new technologies have impacted organic chemistry to the point that they are no longer the sole domain of dedicated specialists. Computational chemistry, for example, can now be used by organic chemists to help predict outcomes, understand selectivity, and decipher mechanisms. To be prepared to solve various synthetic problems, it is increasingly important for chemists to familiarize themselves with a range of current and emerging tools and techniques. Enabling Tools and Techniques for Organic Synthesis: A Practical Guide to Experimentation, Automation, and Computation provides a broad overview of contemporary research and new technologies applied to organic synthesis. Detailed chapters, written by a team of experts from academia and industry, describe different state-of-the-art techniques such as computer-assisted retrosynthesis, spectroscopy prediction with computational chemistry, high throughput experimentation for reaction screening, and optimization using Design of Experiments (DoE). Emphasizing real-world practicality, the book includes chapters on programming for synthetic chemists, machine learning (ML) in chemical synthesis, concepts and applications of computational chemistry, and more.