Spatiotemporal models have demonstrated promising outcomes in integrating data from multiple sources and guiding scientific discovery. The future of spatiotemporal models for materials data science should explore the interplay between the domain knowledge used in problem mapping and model specification to ensure a faithful representation of the problem context to achieve the desired interpretability and performance.