In the wake of retraction scandals and studies showing reproducibility rates as low as 10 percent for peer-reviewed articles, the scientific community has focused attention on ways to improve transparency and duplication. A team of math and statistics professors has proposed a way to address one root of that problem: teach and emphasize reproducibility to aspiring scientists, using software that makes the concept feel logical rather than cumbersome.