Satellite imagery can be a critical resource during disasters and humanitarian crises. While the community has improved data sharing, we still struggle to create reusable data science to solve problems on the ground.
Sean Gorman offers an overview of GBDX Notebooks, a step toward creating an open data science community built around Jupyter to stream imagery and share analysis at scale. Sean explains how the GBDX team leveraged and extended Jupyter to create a platform for satellite imagery analysis and community collaboration and how they created buy-in for Jupyter and facilitated open source work along with contributions in a corporate/proprietary setting. Sean then shares lessons learned and provides a template for how Jupyter can be leveraged to create unique products for both humanitarian and commercial purposes.
Sean Gorman is the head of technical product management at DigitalGlobe. Previously, Sean was a cofounder of Timbr.io, a platform for enabling algorithmic orchestrations with sensor and social data (acquired by DigitalGlobe), and the founder and CEO of GeoIQ, a collaborative data and analytics company serving commercial and government customers (acquired by Esri). Sean also worked at Esri integrating social data with Esri’s mapping technologies and was a research professor at George Mason University, where he focused on the intersection of complexity science, statistical mechanics, and spatial analysis. Sean holds a PhD from George Mason University, where he was the Provost’s High Potential Research Candidate, a Fisher Prize winner, and an INFORMS Dissertation Prize recipient.
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