A new type of experiment design called Multiple Randomization Designs has been introduced to study how different groups interact in experiments. This design helps researchers understand how treatments affect various populations, like buyers and sellers or drivers and riders, and how these interactions can impact outcomes. By using these designs, researchers can investigate questions about interference that classical experiments cannot answer. Additionally, new statistical methods have been developed to analyze these Multiple Randomization Designs.