NSF's Molecular Foundations for Sustainability: Sustainable Polymers Enabled by Emerging Data Analytics (NSF MFS-SPEED) program invites you to attend a virtual question-and-answer session. The goal of the NSF MFS-SPEED program is to support fundamental research enabling the accelerated discovery and manufacturing of sustainable polymers using state-of-the-art data science, and to enhance development of a cross-disciplinary workforce skilled in this area. Through this solicitation (NSF 24-567), the research community is encouraged to address the discovery and elaboration of new sustainable polymers or sustainable pathways to existing polymers by the creation and use of a data-centric environment where research projects are focused on new approaches to predicting structure and properties of polymers and advanced soft materials, with insights enabled by data analytics, including artificial intelligence and machine learning. This includes more efficient, scalable preparation of monomers and polymers using existing or new synthetic routes. Furthermore, this call aims to train a technical workforce that leverages data analytics to create sustainable polymers and soft materials.