{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"A Behind-The-Scenes Look into Spatial Insurance and How it Works","description":"Christopher G. McDaniel is joined by Matt Schmidt from Ecopia AI. Matt is a Senior Associate and uses geospatial data to better calculate insurance and financial risk. In this week\u2019s episode, Matt breaks down the importance of spatial insurance and how it works. At this current time, his firm is focused on creating a digital twin of earth, and they\u2019ve got some exciting 3D representations of the entire United States, but how does insurance leverage this data to make better risk assessments? Matt shares his insights! &amp;nbsp; &amp;nbsp; Key Takeaways:   An introduction of today\u2019s speakers and topic.   What\u2019s Ecopia\u2019s vision? To create a digital twin of the earth!   A bit of history about Ecopia and how they first got started.   What is spatial insurance and why is it important?   How do carriers get spatial locations right?   How does Ecopia locate objects differently compared to other geotracking companies?   With all the data that Ecopia is capturing, how do Matt and his team sift through that data to find what\u2019s relevant?   What would make the data incomplete or inaccurate?   What\u2019s next for Matt and Ecopia?   &amp;nbsp; Resources: Catastropheresiliency.org Email: crc@theinstitutes.org &amp;nbsp; Oasislmf.org Dr. Stuart on LinkedIn Ben on LinkedIn Mark on LinkedIn &amp;nbsp; &amp;nbsp; ","author_name":"Catastrophe Resiliency Network Podcast","author_url":"http:\/\/www.catastropheresiliency.org","html":"<iframe title=\"Libsyn Player\" style=\"border: none\" src=\"\/\/html5-player.libsyn.com\/embed\/episode\/id\/24067248\/height\/90\/theme\/custom\/thumbnail\/yes\/direction\/forward\/render-playlist\/no\/custom-color\/88AA3C\/\" height=\"90\" width=\"600\" scrolling=\"no\"  allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen><\/iframe>","thumbnail_url":"https:\/\/assets.libsyn.com\/secure\/content\/134107107"}