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1
Introduction
2
Shauna Marcin
3
Bob Hazen
4
Dr Andrew Smith
5
Mineral evolution
6
Supercontinent assemblies
7
Earths atmospheric oxidation
8
Mineral ecology
9
Carbon mineral challenge
10
Multidimensional analysis
11
Mineral network analysis
12
Mineral networks
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Copper mineral network
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Chemical segregation
15
Carbon bipartite network
16
Planetary scale biosignature
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Other planetary bodies
18
Embedded timeline
19
Natural Kind Clustering
20
Informationrich minerals
21
Formational environments
22
Cluster analysis
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Classification results
24
Affinity analysis
25
Association rules
26
Answering questions
27
Preliminary example
28
Two other projects
29
Label distribution learning
30
Astrobiology Institute
31
Rutgers
Description:
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. Read more

The Future of Data-Driven Discovery in Mineralogy and Crystallography

Mineralogical Society of America
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