Ten fun, accessible hands-on activities teach readers how to make simple machines using STEM concepts.

A potato chip lover, Aisha begs her older brother Malcolm to bring her to the potato chip factory where he is an industrial engineer. Malcolm agrees to take her, but only if she and her cousin Tanya complete their summer project for school. Taking them on a fun-filled simple machines scavenger hunt through Boston, Massachusetts, Malcolm helps with their school project and prepares them for their trip to the factory. By visiting the potato chip factory, the girls learn how simple machines and the design of industrial systems make work safer for laborers. The trip inspires the girls to create a simple machine system of their own.

Build, create, invent, and discover 28 awesome experiments and activities with Maker Lab. Created in association with the Smithsonian Institution and supporting STEAM education initiatives, Maker Lab has 28 kid-safe projects and crafts that will get young inventors' wheels turning and make science pure fun. Explaining science through photographs and facts that carefully detail the "why" and "how" of each experiment using real-world examples to provide context, each activity is appropriate for kids ages 8-12 years old and ranked easy, medium, or hard, with an estimated time frame for completion. Requiring only household materials, young makers can build an exploding volcano, make bath fizzies, construct a solar system, make an eggshell geode, and more. With a foreword by Jack Andraka, a teen award-winning inventor, Maker Lab will help kids find their inner inventor to impress friends, family, and teachers and create winning projects for science fairs and school projects.

How high-level behaviors arise from low-level rules, and how understanding this relationship can suggest novel solutions to complex real-world problems such as disease prevention, stock-market prediction, and data mining on the Internet. The term "artificial life" describes research into synthetic systems that possess some of the essential properties of life. This interdisciplinary field includes biologists, computer scientists, physicists, chemists, geneticists, and others. Artificial life may be viewed as an attempt to understand high-level behavior from low-level rules -- for example, how the simple interactions between ants and their environment lead to complex trail-following behavior. An understanding of such relationships in particular systems can suggest novel solutions to complex real-world problems such as disease prevention, stock-market prediction, and data mining on the Internet. Since their inception in 1987, the Artificial Life meetings have grown from small workshops to truly international conferences, reflecting the field's increasing appeal to researchers in all areas of science.