Disaster Tech
Mikel Maron
Jesse Robbins
Learn how to turn your
emerging technology into
 lifesaving technology.
Pattern: Disaster Tech Innovation

1.Disaster
2.Ad-Hoc Adaptation
3.Championship
4.Iterative Improvement
<breathe>
Hurricane Katrina

‣ 1800+ Dead
‣ Millions displaced
‣ $81+ Billion in Damage
Ad-Hoc Adaptation:
	 Many Using Gmaps




             http://twitter.com/nateritter
ARC: “Take the I-90 bridge...”
Jesse: “The bridge is destroyed”
ARC: “but Google says...”
Problem: Google Maps isn’t Realtime

   Post Katrina




      2007




      2007        http://twitter.com/nateritter
Champion:
	 OpenStreetMap (OSM)
Iteration:
	 UN considering OSM
 •UNJLC Interagency Humanitarian
   Common Service
 •Building UNSDI-t from the top
   down...
Pattern: Disaster Tech Innovation

1.Disaster
2.Ad-Hoc Adaptation
3.Championship
4.Iterative Improvement
<breathe>
San Diego Wildfires

‣ 900,000+ Evacuees
‣ 500,000 Acres Burned
‣ 1500+ Homes Destroyed
Ad-Hoc Adaptation:

 Nate Ritter’s Twitters




                 http://twitter.com/nateritter
          http://twitter.co...
Ad-hoc Adaptation:
	 American Red Cross




          http://twitter.com/redcross
Champion:
	 InSTEDD - SMS GeoChat
Iteration:
	 InSTEDD

 Working with traditional Disaster
 Agencies to build new tools.

 Distributing work as Open Source
<breathe>
Boxing Day Tsunami


   225,000 Dead
Boxing Day Tsunami
     225,000 Deaths

    Preventable with
  existing technologies
Ad-Hoc Adaptation:
	 JRC Tsunami Model
 1.USGS GeoRSS earthquake feed
 2.EU Commission lightweight
   tsunami propagation ...
Ad-Hoc Adaptation:
	 JRC Tsunami Model
Champion:
	 GDACS: Global Disaster Alert & Coordination
	 	 	 	 	 	 System




                  http://www.gdacs.org
Iteration:
	 Pending.

 Will these technologies save lives?
 We won’t know until they do...
 or don’t.
saving lives
  means
losing lives
<breathe>
anti-pattern
Anti-Pattern

1.Disaster
2.Ad-Hoc Adaptation
3.Championship
4.Iterative Improvement
Ad-hoc Adaptation:
	 Tenacious Search
Distributed analysis of imagery for
Search & Rescue
Images put into Amazon.com’s
Mec...
Source: http://www.wired.com/techbiz/people/magazine/15-08/ff_jimgray_lost
Champion:
	 none.



Public now believes that this is
easily repeatable.
Iteration:
	 Steve Fossett Search
 Inadequate training for
 volunteers.
 Many false positives.
 People called SAR teams
 d...
Anti-Pattern
“In hindsight, I wish it hadn’t been there,
because it didn’t produce a darn thing that was
productive except...
New Champions:
	 InternetSAR
New Champions:
	 InternetSAR
“ABSOLUTELY UNDER NO CIRCUMSTANCES are
InternetSAR.org participants to report objects
found i...
<breathe>
Pattern: Disaster Tech Innovation

1.Disaster
2.Ad-Hoc Adaptation
3.Championship
4.Iterative Improvement
Be Champions
you don’t choose the moment...
  the moment chooses you.

You only choose how prepared
    you are when it does...
       ...
ETech2008 DisasterTech Robbins Maron 20080305a
ETech2008 DisasterTech Robbins Maron 20080305a
ETech2008 DisasterTech Robbins Maron 20080305a
ETech2008 DisasterTech Robbins Maron 20080305a
ETech2008 DisasterTech Robbins Maron 20080305a
ETech2008 DisasterTech Robbins Maron 20080305a
ETech2008 DisasterTech Robbins Maron 20080305a
ETech2008 DisasterTech Robbins Maron 20080305a
ETech2008 DisasterTech Robbins Maron 20080305a
ETech2008 DisasterTech Robbins Maron 20080305a
ETech2008 DisasterTech Robbins Maron 20080305a
ETech2008 DisasterTech Robbins Maron 20080305a
ETech2008 DisasterTech Robbins Maron 20080305a
ETech2008 DisasterTech Robbins Maron 20080305a
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ETech2008 DisasterTech Robbins Maron 20080305a

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  • Very Nice Presentation
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  • Interesting presentation! do you have the voice that comes with it? I think one pattern to note is the supporting of interoperability standards for data structures. And as a growing trend, the need of data versioning standards that allow multi-master data ownership - so every user can choose the system to interact with knowing it's in the end updating the same 'cloud' dataset (and this 'cloud' dataset isn't owned by 'one' system or organization only). These disaster scenarios will IMO push the notions of 'data interoperability' with web standards faster than enterprise or SMB scenarios, where most Saas application providers beleive have a buck to earn by keeping your data locked in. ~ej
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ETech2008 DisasterTech Robbins Maron 20080305a

  1. 1. Disaster Tech Mikel Maron Jesse Robbins
  2. 2. Learn how to turn your emerging technology into lifesaving technology.
  3. 3. Pattern: Disaster Tech Innovation 1.Disaster 2.Ad-Hoc Adaptation 3.Championship 4.Iterative Improvement
  4. 4. <breathe>
  5. 5. Hurricane Katrina ‣ 1800+ Dead ‣ Millions displaced ‣ $81+ Billion in Damage
  6. 6. Ad-Hoc Adaptation: Many Using Gmaps http://twitter.com/nateritter
  7. 7. ARC: “Take the I-90 bridge...” Jesse: “The bridge is destroyed” ARC: “but Google says...”
  8. 8. Problem: Google Maps isn’t Realtime Post Katrina 2007 2007 http://twitter.com/nateritter
  9. 9. Champion: OpenStreetMap (OSM)
  10. 10. Iteration: UN considering OSM •UNJLC Interagency Humanitarian Common Service •Building UNSDI-t from the top down •But now considering OSM for lightweight, open bottom up
  11. 11. Pattern: Disaster Tech Innovation 1.Disaster 2.Ad-Hoc Adaptation 3.Championship 4.Iterative Improvement
  12. 12. <breathe>
  13. 13. San Diego Wildfires ‣ 900,000+ Evacuees ‣ 500,000 Acres Burned ‣ 1500+ Homes Destroyed
  14. 14. Ad-Hoc Adaptation: Nate Ritter’s Twitters http://twitter.com/nateritter http://twitter.com/nateritter
  15. 15. Ad-hoc Adaptation: American Red Cross http://twitter.com/redcross
  16. 16. Champion: InSTEDD - SMS GeoChat
  17. 17. Iteration: InSTEDD Working with traditional Disaster Agencies to build new tools. Distributing work as Open Source
  18. 18. <breathe>
  19. 19. Boxing Day Tsunami 225,000 Dead
  20. 20. Boxing Day Tsunami 225,000 Deaths Preventable with existing technologies
  21. 21. Ad-Hoc Adaptation: JRC Tsunami Model 1.USGS GeoRSS earthquake feed 2.EU Commission lightweight tsunami propagation model 3.GeoRSS polygons republished
  22. 22. Ad-Hoc Adaptation: JRC Tsunami Model
  23. 23. Champion: GDACS: Global Disaster Alert & Coordination System http://www.gdacs.org
  24. 24. Iteration: Pending. Will these technologies save lives? We won’t know until they do... or don’t.
  25. 25. saving lives means losing lives
  26. 26. <breathe>
  27. 27. anti-pattern
  28. 28. Anti-Pattern 1.Disaster 2.Ad-Hoc Adaptation 3.Championship 4.Iterative Improvement
  29. 29. Ad-hoc Adaptation: Tenacious Search Distributed analysis of imagery for Search & Rescue Images put into Amazon.com’s Mechanical Turk crowdsourcing tool. Possible hits sent to experts for review.
  30. 30. Source: http://www.wired.com/techbiz/people/magazine/15-08/ff_jimgray_lost
  31. 31. Champion: none. Public now believes that this is easily repeatable.
  32. 32. Iteration: Steve Fossett Search Inadequate training for volunteers. Many false positives. People called SAR teams directly which hindered search.
  33. 33. Anti-Pattern “In hindsight, I wish it hadn’t been there, because it didn’t produce a darn thing that was productive except for being a giant black hole for energy, time and resources. There may come a day when this technology is capable of doing what it says it can deliver, but boy, that’s not now.” - Maj. Cynthia Ryan http://www.humanitarian.info/2007/11/08/the-perils-of-the-distributed-approach/
  34. 34. New Champions: InternetSAR
  35. 35. New Champions: InternetSAR “ABSOLUTELY UNDER NO CIRCUMSTANCES are InternetSAR.org participants to report objects found in imagery we provide directly to search authorities. [...] The reason for this policy is that our systems are set up to manage and filter reports for search teams and those who bypass our reporting system can actually impede the efforts of search teams.”
  36. 36. <breathe>
  37. 37. Pattern: Disaster Tech Innovation 1.Disaster 2.Ad-Hoc Adaptation 3.Championship 4.Iterative Improvement
  38. 38. Be Champions
  39. 39. you don’t choose the moment... the moment chooses you. You only choose how prepared you are when it does... -Chief Mike Burtch Mikel Maron - mikel@mapufacture.com Jesse Robbins - jesse@oreilly.com
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