This presentation is a part of the Open Force Field Virtual Meeting 2020. Abstract: This talk provides an overview of potential future directions in force field development within the Open Force Field Initiative. These include self-consistent parameterization of biopolymers and other biomolecules, Bayesian inference modelling and machine learning applications. The latter include accelerating partial charge and torsion assignment, integrating machine learning potentials and differential typing.