In this podcast episode of "On Earth", Lindsay, a geodata scientist, discusses the role of geodata scientists in understanding the Earth's subsurface using geophysical data. Lindsay explains the techniques involved in building a 3D image of the subsurface, including inversion, and highlights the interdisciplinary nature of geodata science. The episode showcases the innovative applications of geophysical data and machine learning in addressing real-world challenges, such as groundwater location and cancer research. The importance of diversity, equity, and inclusion in the scientific field, especially for underrepresented communities, is also discussed. The impact of the COVID-19 pandemic on work and the value of in-person interactions are addressed, along with advice for aspiring individuals interested in earth science, emphasizing the need for quantitative skills and interdisciplinary approaches.
Takeaways
• Geodata scientists work with geophysical data and computational methods to understand the Earth's subsurface.
• Different geophysical data types are sensitive to physical properties of minerals and can be collected on various scales.
• Geodata science is an interdisciplinary field that is connected to society and the environment.
• Geophysical data and machine learning have innovative applications in addressing real-world challenges.
• Geophysical techniques can be used in diverse fields, including mining, groundwater location, and cancer research.
• The scientific field needs to prioritize diversity, equity, and inclusion for underrepresented communities.
• The COVID-19 pandemic has impacted work and highlighted the importance of in-person interactions.
• Aspiring individuals interested in earth science should develop quantitative skills and embrace interdisciplinary approaches.
