The Future of Data-Driven Discovery in Mineralogy and Crystallography

Explore the cutting-edge applications of data-driven discovery in mineralogy and crystallography through this 25-minute talk by Shaunna Morrison from Carnegie Institution for Science. Delve into topics such as mineral evolution, supercontinent assemblies, Earth's atmospheric oxidation, and mineral ecology. Learn about the Carbon Mineral Challenge and multidimensional analysis techniques, including mineral network analysis. Discover how these methods are applied to copper mineral networks, chemical segregation, and carbon bipartite networks. Investigate planetary-scale biosignatures and their implications for other celestial bodies. Examine Natural Kind Clustering, information-rich minerals, and formational environments through cluster and affinity analyses. Gain insights into classification results, association rules, and their practical applications in answering scientific questions. Conclude with an overview of ongoing projects, including label distribution learning and collaborations with the Astrobiology Institute at Rutgers.

Introduction
Shauna Marcin
Bob Hazen
Dr Andrew Smith
Mineral evolution
Supercontinent assemblies
Earths atmospheric oxidation
Mineral ecology
Carbon mineral challenge
Multidimensional analysis
Mineral network analysis
Mineral networks
Copper mineral network
Chemical segregation
Carbon bipartite network
Planetary scale biosignature
Other planetary bodies
Embedded timeline
Natural Kind Clustering
Informationrich minerals
Formational environments
Cluster analysis
Classification results
Affinity analysis
Association rules
Answering questions
Preliminary example
Two other projects
Label distribution learning
Astrobiology Institute
Rutgers