One key to explaining life’s hierarchy and biological complexity is the ability to understand how a new group (collective of individuals that is capable of undergoing Darwinian evolution) emerges from the interactions between existing individuals. In this process, the fundamental level of evolution transfers from the lower-level unit to the higher-level unit (Szathmary & Smith 1995). One such area of particular interest is the transition from single-celled to multicellular organisms. For this transition to happen a two-step process is needed: first, individuals form a robust collective through an evolutionary process (Bonner 1998; West el al. 2015), and then the level upon which selection acts shifts from individuals to the collective (Libby and Rainey 2013; Ratcliff et al, 2012). This is known as the “multilevel section hypothesis.” Although there is robust empirical and theoretical work on the multilevel selection hypothesis, there is still a gap in our understanding of how collective-level individuals emerge from the lower level population and sustain their Darwinian status over time (Ratcliff et al., 2015). Here I discuss two different projects regarding the transition from uni- to multicellular groups. First, I show that how “superflake yeast” can resist macroscopic forces and won’t break by the failure of a single cell-cell bound like their “snowflake yeast” ancestors, allowing them to enter the realm of macroscopic physics by just sheer force of evolution. In the second project, I discuss how the heritability of a newly-formed group’s phenotypic traits emerges as the group forms. I introduce a simple theoretical model for calculating group-level trait heritability, where the trait is the linear function of a cell-level trait. For cases in which the relationship is more complex than a linear function, we developed a computer simulation to model and explore it. Finally, I will discuss the limitations of our model and the possible ways to improve it to create an evolutionary model that accounts for more realistic scenarios.