The document summarizes work from last summer optimizing allocation of resources for HIV prevention in South Africa. It describes using random sampling to explore the parameter space and build surrogate models to efficiently solve the constrained optimization problem. For next steps, it plans to generate more sample points in an 11-dimensional parameter space that includes additional model parameters and use the same approach to find the optimal allocation.