The Open Syllabus Project (featured in the 7-15-2016 Scout Report) uses machine learning to analyze "a corpus of seven million English-language syllabi from over 80 countries." At the link above, readers will find the project's Co-Assignment Galaxy, a fascinating interactive visualization of more than 160,000 of the most commonly assigned texts in the Open Syllabus database. Upon arrival, visitors first see a concise yet detailed explanation of what the visualization shows and how it was created. The visualization itself is an intriguing, multicolored concoction that is well worth exploring. Each dot represents a text, with the more popular texts represented by larger dots. These are positioned such that "books that are close together in the layout are assigned in similar courses." Clicking a dot brings up a link to the text's profile page, where users can see more details like which other texts are frequently assigned alongside the selected item. A search bar in the upper left of the Galaxy enables readers to look for a particular title. Launched in 2016 and currently in its second database iteration, the Open Syllabus Project is directed by Joe Karaganis, who is also the vice president of the American Assembly, an independent nonprofit located at Columbia University.