The Inference, Information and Decision (I.I.D.) Systems Group is led by Amin Karbasi. The research in I.I.D. is at the intersection of learning theory, large-scale networks, and optimum information processing. We devise new algorithms, build models, analyze the behavior of large and complex networks, and develop systems that can automatically acquire and reason about highly uncertain information. Our application domains include interactive recommender systems, social and neural networks, and optimal experimental design.