Data-driven abductive discovery in mineralogy

被引：32
|
作者：
Hazen, Robert M. [1 ]
机构：
[1] Carnegie Inst Washington, Geophys Lab, Washington, DC 20015 USA
来源：
AMERICAN MINERALOGIST | 2014年 / 99卷 / 11-12期
基金：
美国国家科学基金会;
关键词：
Data mining; statistical mineralogy; mineral evolution; cyber-infrastructure; philosophy of mineralogy; GEOLOGIC TIME; EVOLUTION; OROGENS; GEOCHEMISTRY; METALLOGENY; MODEL;
D O I：
10.2138/am-2014-4895
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
Traditional pathways to discovery in Earth sciences rely in large measure on deductive and inductive approaches, by which measurements and observations are made in the context of established principles or testable, predictive hypotheses about the natural world. Vast, but largely untapped, Earth and life science data resources offer a potentially revolutionary alternative "abductive" approach to investigate Earth's co-evolving geosphere and biosphere. We therefore advocate a strategic, data-driven program for accelerated scientific discovery.
引用
收藏
页码：2165 / 2170
页数：6
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