The projective structure of the SL(d,R) symmetric space is a powerful tool which allows for novel perspectives on some SL(d,R) representations. We focus our attention on a particular class of representations: those whose images divide properly convex domains in RP^d. In this project we apply techniques from real projective geometry to extract rich data from the induced action of dividing groups in RP^2 on the SL(3,R)-symmetric space. This is joint work with Max Riestenberg. Speaker(s): Martin Bobb (U Michigan)