The precise representation of ubiquitous information in nature has been largely overlooked, despite significant advances in modeling space, time, mass, and energy. A groundbreaking fusion of complexity modeling and information theory, Introduction to Evolutionary Informatics, bridges this gap by quantifying meaning and design difficulty in nature in terms of bits. Accessible to readers with a basic understanding of high school math, this book builds upon a series of peer-reviewed papers by the authors. Optional sections, marked for those seeking a more superficial understanding, allow readers to bypass mathematical intricacies and still grasp the profound implications of this novel approach to nature's information. This monograph is an invaluable resource for scientists, engineers, and mathematicians seeking to understand the pivotal role of information in evolutionary theory, as well as those interested in the scientific foundations of intelligent design.