[FRIAM] Fwd: [Colloquia] Colloquium - Wed Nov 11 - Kasra Manavi

[Stephen Guerin]

Phones before Drones.

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.

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".


On Mon, Nov 9, 2020 at 5:37 PM Marcus Daniels <marcus at snoutfarm.com> wrote:

> Why aren’t fleets of automated drones used?
>
>
>
> *From:* Friam <friam-bounces at redfish.com> *On Behalf Of *Angel Edward
> *Sent:* Monday, November 9, 2020 4:28 PM
> *To:* The Friday Morning Applied Complexity Coffee Group <
> friam at redfish.com>
> *Subject:* [FRIAM] Fwd: [Colloquia] Colloquium - Wed Nov 11 - Kasra Manavi
>
>
>
>
>
>
>
> Begin forwarded message:
>
>
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> *From: *Shuang Luan <sluan at cs.unm.edu>
>
> *Subject: [Colloquia] Colloquium - Wed Nov 11 - Kasra Manavi*
>
> *Date: *November 9, 2020 at 10:10:31 AM MST
>
> *To: *colloquia at mail.cs.unm.edu, csgrad at cs.unm.edu, csundergrad at cs.unm.edu,
> CS Faculty mail list <csfaculty at cs.unm.edu>
>
>
>
> UNM Computer Science Department Colloquium Series
>
> Wednesday, Nov 11, 2020
> 2:00-2:50 PM
>
> Join via Zoom:
> https://unm.zoom.us/j/98715707842
> Meeting ID: 987 1570 7842
> Passcode: 9620277
>
>
>
> *Speaker:*
>
> Kasra “Kaz” Manavi, PhD
>
> Director of Research and Communications, Simtable
>
> *Title:*
> Realtime.Earth: Collective Intelligence from Distributed Imagery for
> Wildland Fire
>
> *Abstract:*
> 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.
>
> *Bio:*
> 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.
>
>
>
>
>
> Shuang (Sean) Luan, PhD
>
> Professor and Associate Chair, Computer Science
>
> Director, Biomedical Engineering Graduate Program
>
> University of New Mexico
>
>
>
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