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Electron backscatter diffraction maps of crystallographic orientation

Provenance: Rory Mcfadden EBSD data pioneers
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In an era of big data, data analytics, and machine learning, the ability to process, analyze, and visualize data has become increasingly important to conducting independent research and preparing students for the STEM workforce. Employers have noted that students need to be able to evaluate data quality, assess uncertainty, and integrate diverse datasets to engage with complex geoscience problems. Students also need proficiency in data acquisition, management, and visualization.

To better support faculty and develop students' data analysis skills, the DAISE project will create modules that integrate solid Earth data and methods into undergraduate curricula, emphasizing the importance of data analysis for investigating the solid Earth. The modules will be 3–5 units, covering approximately two weeks of class time, and are meant to be incorporated into existing classes. For instructors with less available class time, each unit within a module can be used as a standalone activity. The DAISE project team will also lead workshops to help faculty use the modules in their own data-rich courses and projects.

Learn more about DAISE »