{"href":"http://player.captivate.fm/services/oembed?url=http%3A%2F%2Fplayer.captivate.fm%2Fepisode%2Fef2d9eae-afa8-49aa-9122-7731b27191c9","version":"1.0","provider_name":"Captivate.FM","provider_url":"https://www.captivate.fm","width":600,"height":200,"type":"rich","html":"<iframe style=\"width: 100%; height: 200px;\" title=\"*DataPoint* Data and Disasters\" frameborder=\"0\" scrolling=\"no\" allow=\"clipboard-write\" seamless src=\"http://player.captivate.fm/episode/ef2d9eae-afa8-49aa-9122-7731b27191c9\"></iframe>","title":"*DataPoint* Data and Disasters","description":"On the 16th anniversary of the terrorist attacks of 9/11, Frank reflects on his personal experience and the impact of data analytics in the wake of disasters: both natural and unnatural. Links Frank\u2019s personal account of 9/11 Pictures from NYC that day Titanic: Machine Learning from Disaster Visualizing Hurricane Sandy with NHC data","thumbnail_width":300,"thumbnail_height":300,"thumbnail_url":"https://artwork.captivate.fm/1d401567-13c5-47aa-a329-134cbc21d210/itunes.jpg"}