<div dir="ltr"><div>Phones before Drones. </div><div><br></div><div>Imagery from drones can be incorporated, as can be aircraft imagery and satellite. However, they tend to come later in the incident or are at lower frequency and spatial scale. </div><div><br></div><div>Our focus is coordinating imagery from citizen mobile phone cameras which we believe has the greatest value in the first moment of an incident (wildfire, explosion, active shooter, mudslide, tornado, etc). And then getting the collective intelligence to those same citizens on their phones via AR and georectified maps to enable decentralized collective action. Arguably intelligence and action two sides of the same coin. "intelligence is as intelligence does".<br><br></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Mon, Nov 9, 2020 at 5:37 PM Marcus Daniels <<a href="mailto:marcus@snoutfarm.com">marcus@snoutfarm.com</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">
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<p class="MsoNormal">Why aren’t fleets of automated drones used?<u></u><u></u></p>
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<p class="MsoNormal"><b>From:</b> Friam <<a href="mailto:friam-bounces@redfish.com" target="_blank">friam-bounces@redfish.com</a>> <b>On Behalf Of
</b>Angel Edward<br>
<b>Sent:</b> Monday, November 9, 2020 4:28 PM<br>
<b>To:</b> The Friday Morning Applied Complexity Coffee Group <<a href="mailto:friam@redfish.com" target="_blank">friam@redfish.com</a>><br>
<b>Subject:</b> [FRIAM] Fwd: [Colloquia] Colloquium - Wed Nov 11 - Kasra Manavi<u></u><u></u></p>
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<p class="MsoNormal"><b><span style="font-family:Helvetica,sans-serif">From: </span>
</b><span style="font-family:Helvetica,sans-serif">Shuang Luan <<a href="mailto:sluan@cs.unm.edu" target="_blank">sluan@cs.unm.edu</a>></span><u></u><u></u></p>
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<p class="MsoNormal"><b><span style="font-family:Helvetica,sans-serif">Subject: [Colloquia] Colloquium - Wed Nov 11 - Kasra Manavi</span></b><u></u><u></u></p>
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</b><span style="font-family:Helvetica,sans-serif">November 9, 2020 at 10:10:31 AM MST</span><u></u><u></u></p>
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</b><span style="font-family:Helvetica,sans-serif"><a href="mailto:colloquia@mail.cs.unm.edu" target="_blank">colloquia@mail.cs.unm.edu</a>,
<a href="mailto:csgrad@cs.unm.edu" target="_blank">csgrad@cs.unm.edu</a>, <a href="mailto:csundergrad@cs.unm.edu" target="_blank">
csundergrad@cs.unm.edu</a>, CS Faculty mail list <<a href="mailto:csfaculty@cs.unm.edu" target="_blank">csfaculty@cs.unm.edu</a>></span><u></u><u></u></p>
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<p class="MsoNormal"><span style="font-family:Arial,sans-serif">Wednesday, Nov 11, 2020<br>
2:00-2:50 PM<br>
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Join via Zoom:<br>
<a href="https://unm.zoom.us/j/98715707842" target="_blank">https://unm.zoom.us/j/98715707842</a><br>
Meeting ID: 987 1570 7842<br>
Passcode: 9620277</span><u></u><u></u></p>
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<p class="MsoNormal"><span style="font-family:Arial,sans-serif">Kasra “Kaz” Manavi, PhD<u></u><u></u></span></p>
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<p class="MsoNormal">Director of Research and Communications, Simtable<br>
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<b>Title:</b><br>
Realtime.Earth: Collective Intelligence from Distributed Imagery for Wildland Fire<br>
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<b>Abstract:</b><br>
We are currently fighting “blind” on wildland fire incidents. Fire location and behavior intelligence is crucial during the initial phase of an incident, but reports of wildfire can be delayed for hours. To make matters worse, changes in fuel loads and forest
composition along with increasing fire season lengths are resulting in larger and more intense fires. With recent events like the Tubbs, Atlas and Camp Fires, more and more catastrophic wildland fire events are causing significant structure damage and considerable
numbers of lives are being lost. Real-time data streams relevant to wildland fire are diversifying e.g. increased activity on social media and publicly accessible imagery. With the increase in these streams, more and more sources of relevant imagery are becoming
available during an incident. We suggest the fusion of these data outlets coupled with streaming camera feeds directly from mobile phone browsers can provide real-time situation awareness during the critical first hours of an incident. In this talk we discuss
observations obtained using Realtime.Earth, a web-based platform for real-time collective intelligence enabled by imagery capture and collection, data distribution and model visualization, all in the browser. We discuss how imagery captured on mobile devices
from citizens, crews and social media can be fused together into live 3D models for real-time fire behavior monitoring.<br>
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<b>Bio:</b><br>
Kasra “Kaz” Manavi is the Director of Research and Communications at Simtable. He received a M.S. in Computer Science from Texas A&M University with an emphasis on robotic motion planning and received a PhD in Computer Science from the University of New Mexico
with a focus on computational structural biology. After graduation, he started working at Simtable LLC in Santa Fe, NM, where he has been working on developing a web-based platform to enable real-time collective intelligence by providing users the ability
to seamlessly incorporate agent-based modeling, ambient computing, photogrammetry, geospatial information systems and distributed computation into solutions that helps users better understand complex environmental and social phenomena in their community, primarily
in the wildland fire space.<u></u><u></u></p>
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<p class="MsoNormal">_______________________________________________<br>
Colloquia mailing list<br>
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<a href="https://snape.cs.unm.edu/listinfo/colloquia" target="_blank">https://snape.cs.unm.edu/listinfo/colloquia</a><u></u><u></u></p>
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