The functioning of living organisms is controlled by highly complex networks of interactions among genes, proteins, and small signaling molecules. These range from signal transduction networks to metabolic networks to gene regulatory networks. In each case, the signal carrier is usually protein amounts, whose robust and tight control is at the basis of most cellular processes, including the cell cycle, circadian rhythms, apoptosis, and many others. The functioning of these networks is remarkably robust and reliable, despite the influence of environmental fluctuations, intrinsic noise, and uncertain network components. This robustness might be a factor affecting resistance to chemotherapy, targeted antibodies, and small inhibitors in disease treatments. Understanding the design principles underlying the functioning of biological networks is one of the main objectives of systems biology. At the same time, a main goal of synthetic biology is to establish an engineering discipline to create functional semi-synthetic circuits in cellular chassis on the basis of a library of standard parts. What control theory techniques can be leveraged to both analyze and design biological networks?  What new control theoretic tools need to be developed in order to attain the ultimate goal of untangling the complexity of biological network analysis and design? This workshop will cover recent work that addresses these questions.