<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/91584e9dd94a43ccae6a0734cf8410c3&quot; frameborder=&quot;0&quot; width=&quot;1512&quot; height=&quot;1134&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1134</height><width>1512</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1134</thumbnail_height><thumbnail_width>1512</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/91584e9dd94a43ccae6a0734cf8410c3-00001.gif</thumbnail_url><duration>296.689</duration><title>Montana HVI — Sensitivity Testing Using Multi-Criteria Decision Analysis</title><description>In this video, I present the analysis and testing of the New Jersey equal weight approach for the Montana heat vulnerability index project. I explain how simulations and multi-criteria decision analysis were used to validate the assumption of equal weighting for vulnerability scores. No specific action requested, but understanding the methodology is crucial for further discussions.</description></oembed>