MASSHINE invites contributions that demonstrate, speculate, and/or discuss the ways in which generative machine learning models will transform research methodologies and reshape research problems across SSH disciplines. How will generative models impact our understanding of data, analysis, and research ethics? What novel forms of research communication and stakeholder engagement could emerge? What technical and conceptual interventions will be necessary to repurpose them for different epistemic traditions? And how do we audit or establish rapport with them?