The goal of quantitative biology is not just to quantify biological phenomena but to unveil fundamental and general principles of living systems. To draw the general principles of living systems, how can we tackle the 'complicated' quantitative data?  How can we make a good collaboration among experimental biologists, informaticians, and theoreticians? To do this, indispensable is a cross-sectional approach in a broad range of biological fields: Neural computation, Tissue organogenesis, Animal divergence, Camouflage and mimicry etc.  We believe that the collaborative discussion will make a good communication network and provide in-depth insights into this big question. 

In this workshop, we discuss how to bridge experiment and theory in quantitative biology. By showing the current technologies, data, and theories, we will recognize that there are a variety of biological problems. We are going to explore key concepts through discussions about what is different and what is common among these biological fields. We want to outline a prospective picture for the future research styles and targets of biology.