Dear Colleagues, The March 15th deadline for abstract submissions to the International Mineralogical Association's 2026 meeting in Nanjing, China (August 20-24) is fast approaching. Please consider submitting to our session, "Mineral Informatics: A Key to Deep-Time Discoveries in Earth and Planetary Sciences." Minerals and rocks are information-rich, multi-dimensional, and multi-scale natural systems that preserve hundreds of compositional, structural, morphological, and other environmental signatures of planetary history, serving as time capsules. The convergence of mineralogy with data science and informatics is revolutionizing our ability to decode these records during planetary evolution. Progress in mineral informatics rests on four pillars: (1) development of large and rapidly expanding open-access data resources, (2) application of powerful data analytics and visualization methods, (3) development of artificial intelligent algorithm for complex data distribution, and (4) interdisciplinary interpretation and quantitative rules extraction of results after applying these data and methods. Accordingly, we solicit contributions to a dynamic and forward-looking session on mineral informatics, including research related to the mineralogy, petrology, and/or geochemistry of Earth and other planets and moons. Topics include: * Development and expansion of open and reliable data resources that conform to FAIR practices (Findable, Accessible, Interoperable, and Reusable). * Co-evolutionary trends in planetary mineralogy, petrology, geochemistry, tectonics, and their links to the biosphere. * Applications of artificial intelligence and machine learning in mineral resource exploration, including predictive modeling for discovering new economic deposits (e.g., Li, REEs), optimizing resource extraction, and reducing environmental impacts . * Community detection, unsupervised learning, network analysis, and clustering algorithms applied to mineral/rock identification, classification, and planetary evolution staging. * Search for large-scale evolutionary trends in structural and chemical complexity of deep-time minerals, exploring emergent properties from atomic to planetary-scale interactions. * Correlations between microbial communities (including metalloprotein), and mineralogy, petrology, geochemistry, and other environmental parameters, exploring how biomineralization, redox-sensitive metal cofactor adaptation, and geochemical niche construction drive co-evolutionary feedbacks across deep time. For more information and abstract submissions, please visit the IMA 2026 website: https://ima2026.nju.edu.cn/ Robert M. Hazen Earth and Planets Laboratory Carnegie Institution for Science