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Getting Disaster Data Right: A Call
for Real-time Research in Disaster
Response
May 23, 2018
Steve Peterson, National Institutes of Health
Chris Thompson, Humanity Road
Cat Graham, Humanity Road
ISCRAM 2018
The 15th International Conference on Information
Systems for Crisis Response and Management
Agenda
• Case Study
• Correlate experiences to past research findings
• Recommendations and proposed strategies for
conducting future research during disasters
Introduction: Organizations Involved
April 25, 2015
• Magnitude 7.8 Nepal earthquake
– Killed ~9,000 people
– Epicenter: Barpak, a village east of the Gorkha District
Niranjan Shrestha/AP Images
April 25, 2015
7.8 earthquake
Kathmandu Living Labs (KLL)
• Initiated QuakeMap to serve as an information hub
for public relief urgent needs
– 4,000+ worldwide remote contributors plotted data
• Sought crisis mapping assistance & urgent needs
identification and coordination
April 25, 2015
7.8 earthquake
Americares
• Mobilized its medical teams to provide assistance &
assess status of damage to health infrastructure
• Sought assistance in identifying missing hospital
addresses and contact information & assessing
health infrastructure damage
April 25, 2015
7.8 earthquake
Humanity Road
• Overall disaster response activities involved multiple
mission-specific projects spanning 49 days
• Situation reports
• Social media monitoring/amplification
• QuakeMap platform administrator
• Data mining
• Information gathering
• Requested surge support assistance to aid in
providing updates to KLL & Americares
April 25, 2015
7.8 earthquake
Community Emergency Response Team (CERT)
• Reviewed data for urgent needs, medical
information, & operating field hospital locations over
a 48 hour period
April 25, 2015
7.8 earthquake
About CERT
• 500+ volunteers
• Managed by Montgomery County Maryland Fire &
Rescue Services
• 6 week CERT Basic Course Training Topics
– Disaster Preparedness
– Fire Suppression Strategies
– Medical Operations Part I & II
– Light Search & Rescue Operations
– Psychology
– Course Review and Disaster Simulation
About CERT: Introduction of Technology Core Capability
Task Assignments
• Keyword determination & search with social media
analytics tool
• Gather information on pre-identified hospitals and
villages
Task assignments changed midway through virtual activation
• Seek urgent need requests and pertinent information
on villages in three priority districts
Team Coordination and Communication
• Volunteer management system
email (20 volunteers responded)
• Daily conference calls
– Collective decisions based on
situational awareness1
• Resource updates to Google
document
1Van de Walle, B., Brugghemans, B., and Comes, T. (2016). Improving situation awareness in crisis response teams: An experimental analysis
of enriched information and centralized coordination. International Journal of Human-Computer Studies, 95, pp. 66-79.
Data Collection and Analysis Model
Team Lead Oversight
Static Data
(Medical-related keywords, priority districts,
villages, and hospital addresses)
Team 1
Dynamic Data
(Emerging urgent needs and hospital
statuses)
Team 2
Consolidation of analyzed data
Continuous	leadership	involvement	supported	test	results	of	a	2011	study2 suggesting	
virtual	team	leaders,	during	crises,	be	more	active	to	increase	team	members	
motivation3.
2Jenster, N.P. and Steiler, D. (2011). Turning Up the Volume in Inter-personal Leadership: Motivating and Building Cohesive Virtual Teams during
Times of Economic Crisis. Advances in Global Leadership, pp. 267-297.
3Yu, X. and Khazanchi, D. (2017). Studying Virtual Teams during Organizational Crisis from a Sociomaterial Perspective. Proceedings of the 14th
ISCRAM Conference, Albi, France. May 2017. pp. 1055-1064.
Information System and Human Data Analysis
• Humanity Road provided access to a social media
analytics information system called Scanigo
– Improved ability to refine data into more manageable
workloads, thus minimizing risk of information overload4
1.2 million unfiltered 
earthquake‐related tweets, 
retweets, shares, & posts
Filtering/Categorization
213,000 medical‐related 
categorized tweets, 
retweets, shares, & posts
Ranking
2,132 medical‐related   
ranked tweets, retweets, 
shares, & posts
Human Data Analysis
41 urgent 
needs
SM Analytics
Toolkit
SM Analytics
Toolkit
4Gonzalez, J. J., Labaka, L., Hiltz, S. R., and Turoff, M. (2016). Insights from a Simulation Model of Disaster Response: Generalization and
Action Points. 2016 49th Hawaii International Conference on System Sciences (HICSS).
Social media post
Continue to next
social media post
No
Unverified?
Rumor/Fake news?
No or
Uncertain
Official agency
already respond?
Yes
No
Clarifying facts
available?
Yes
Yes Yes
Location based
on photo etc.?
Yes
Continue to next
social media post
Yes
Continue to next
social media post
Outdated
Relevant to
ESF* assignment?
Urgent?
Yes
Accurate & not
outdated?
Yes
Yes
(notify team
lead)
Team Collaborative Working Document
No or
Uncertain
Useful & from
credible source
No
Photo, video, audio?
No or
Uncertain
Actionable
IntelligenceVerified Report
Team Lead
Analysis
Potential value to
assignment?
No Continue to next
social media post
No
Continue to next
social media post
No
Yes
Human Data Analysis (SM Verification Steps)
Social media post Not all inclusive
Actionable
IntelligenceVerified Report
Team Lead
Analysis
Continue to next
social media post
No
Unverified?
Rumor/Fake news?
No or
Uncertain
Official agency
already respond?
Yes
No
Clarifying facts
available?
Yes
Yes Yes
Location based
on photo etc.?
Yes
Continue to next
social media post
Yes
Continue to next
social media post
Outdated
Relevant to
ESF* assignment?
*ESF: Emergency Support Function
Urgent?
Yes
Accurate & not
outdated?
Yes
Yes
(notify team
lead)
Team Collaborative Working Document
No or
Uncertain
Useful & from
credible source
No
Photo, video, audio?
No or
Uncertain
Potential value to
assignment?
No Continue to next
social media post
No
Continue to next
social media post
No
Yes
Verified Data Distribution Process
Results
• 200+ volunteer hours
• Health & medical keywords (413)
• Medical-related urgent needs (41)
• Hospital status updates (100)
~60% completed
• Health & medical information on
Village Development Committees
(85)
~40% completed
Discussion
Discussion Questions
• Could the Nepal virtual activation model be applied
to researcher planning for future studies?
How much 
outdated?
How fast?
How fast from time 
discovered to action taken?
Stayed within lane? During data analysis period, known fake news/rumors 
may have been identified leading to analyst to quickly 
ignore investing further time. Did they?
Did analyst make any “no” decisions based off 
simple conclusion w/o a degree of skepticism?
Were they skeptical of 
their own skepticism?
Discussion Questions
• Can practitioner-researcher consensus be achieved to identify
mutually beneficial measurable topics for future research
consideration during disasters?
• Would conducting research within a time-sensitive accelerated
environment, using the same methods of research conducted post-
disaster, generate similar or different results?
• Can the same prior research study conducted post-disaster also be
applied during disasters in an effort to garner previously unknown,
undocumented intelligence?
Discussion Questions
• Can research methods and data collection strategies be applied to
practitioners’ decision-making needs?
• Can social media disaster research be performed during a disaster
which generates results that convince skeptical practitioners of social
media applicability and value?
Available Research Resources: Volunteers
Disaster Research Response (DR2) Repository & Website
Website: http://dr2.nlm.nih.gov
Contact: dr2@nih.gov
Thank You
Thank you!
Steve Peterson, CEM
Emergency Management Specialist
National Institutes of Health
steve.peterson@nih.gov
Chris Thompson
President
Humanity Road
chris@humanityroad.org
Cat Graham
Director of Operations
Humanity Road
cat@humanityroad.org

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Getting Disaster Data Right: A Call for Real-time Research

  • 1. Getting Disaster Data Right: A Call for Real-time Research in Disaster Response May 23, 2018 Steve Peterson, National Institutes of Health Chris Thompson, Humanity Road Cat Graham, Humanity Road ISCRAM 2018 The 15th International Conference on Information Systems for Crisis Response and Management
  • 2. Agenda • Case Study • Correlate experiences to past research findings • Recommendations and proposed strategies for conducting future research during disasters
  • 4. April 25, 2015 • Magnitude 7.8 Nepal earthquake – Killed ~9,000 people – Epicenter: Barpak, a village east of the Gorkha District Niranjan Shrestha/AP Images April 25, 2015 7.8 earthquake
  • 5. Kathmandu Living Labs (KLL) • Initiated QuakeMap to serve as an information hub for public relief urgent needs – 4,000+ worldwide remote contributors plotted data • Sought crisis mapping assistance & urgent needs identification and coordination April 25, 2015 7.8 earthquake
  • 6. Americares • Mobilized its medical teams to provide assistance & assess status of damage to health infrastructure • Sought assistance in identifying missing hospital addresses and contact information & assessing health infrastructure damage April 25, 2015 7.8 earthquake
  • 7. Humanity Road • Overall disaster response activities involved multiple mission-specific projects spanning 49 days • Situation reports • Social media monitoring/amplification • QuakeMap platform administrator • Data mining • Information gathering • Requested surge support assistance to aid in providing updates to KLL & Americares April 25, 2015 7.8 earthquake
  • 8. Community Emergency Response Team (CERT) • Reviewed data for urgent needs, medical information, & operating field hospital locations over a 48 hour period April 25, 2015 7.8 earthquake
  • 9. About CERT • 500+ volunteers • Managed by Montgomery County Maryland Fire & Rescue Services • 6 week CERT Basic Course Training Topics – Disaster Preparedness – Fire Suppression Strategies – Medical Operations Part I & II – Light Search & Rescue Operations – Psychology – Course Review and Disaster Simulation
  • 10. About CERT: Introduction of Technology Core Capability
  • 11. Task Assignments • Keyword determination & search with social media analytics tool • Gather information on pre-identified hospitals and villages Task assignments changed midway through virtual activation • Seek urgent need requests and pertinent information on villages in three priority districts
  • 12. Team Coordination and Communication • Volunteer management system email (20 volunteers responded) • Daily conference calls – Collective decisions based on situational awareness1 • Resource updates to Google document 1Van de Walle, B., Brugghemans, B., and Comes, T. (2016). Improving situation awareness in crisis response teams: An experimental analysis of enriched information and centralized coordination. International Journal of Human-Computer Studies, 95, pp. 66-79.
  • 13. Data Collection and Analysis Model Team Lead Oversight Static Data (Medical-related keywords, priority districts, villages, and hospital addresses) Team 1 Dynamic Data (Emerging urgent needs and hospital statuses) Team 2 Consolidation of analyzed data Continuous leadership involvement supported test results of a 2011 study2 suggesting virtual team leaders, during crises, be more active to increase team members motivation3. 2Jenster, N.P. and Steiler, D. (2011). Turning Up the Volume in Inter-personal Leadership: Motivating and Building Cohesive Virtual Teams during Times of Economic Crisis. Advances in Global Leadership, pp. 267-297. 3Yu, X. and Khazanchi, D. (2017). Studying Virtual Teams during Organizational Crisis from a Sociomaterial Perspective. Proceedings of the 14th ISCRAM Conference, Albi, France. May 2017. pp. 1055-1064.
  • 14. Information System and Human Data Analysis • Humanity Road provided access to a social media analytics information system called Scanigo – Improved ability to refine data into more manageable workloads, thus minimizing risk of information overload4 1.2 million unfiltered  earthquake‐related tweets,  retweets, shares, & posts Filtering/Categorization 213,000 medical‐related  categorized tweets,  retweets, shares, & posts Ranking 2,132 medical‐related    ranked tweets, retweets,  shares, & posts Human Data Analysis 41 urgent  needs SM Analytics Toolkit SM Analytics Toolkit 4Gonzalez, J. J., Labaka, L., Hiltz, S. R., and Turoff, M. (2016). Insights from a Simulation Model of Disaster Response: Generalization and Action Points. 2016 49th Hawaii International Conference on System Sciences (HICSS).
  • 15. Social media post Continue to next social media post No Unverified? Rumor/Fake news? No or Uncertain Official agency already respond? Yes No Clarifying facts available? Yes Yes Yes Location based on photo etc.? Yes Continue to next social media post Yes Continue to next social media post Outdated Relevant to ESF* assignment? Urgent? Yes Accurate & not outdated? Yes Yes (notify team lead) Team Collaborative Working Document No or Uncertain Useful & from credible source No Photo, video, audio? No or Uncertain Actionable IntelligenceVerified Report Team Lead Analysis Potential value to assignment? No Continue to next social media post No Continue to next social media post No Yes Human Data Analysis (SM Verification Steps) Social media post Not all inclusive Actionable IntelligenceVerified Report Team Lead Analysis Continue to next social media post No Unverified? Rumor/Fake news? No or Uncertain Official agency already respond? Yes No Clarifying facts available? Yes Yes Yes Location based on photo etc.? Yes Continue to next social media post Yes Continue to next social media post Outdated Relevant to ESF* assignment? *ESF: Emergency Support Function Urgent? Yes Accurate & not outdated? Yes Yes (notify team lead) Team Collaborative Working Document No or Uncertain Useful & from credible source No Photo, video, audio? No or Uncertain Potential value to assignment? No Continue to next social media post No Continue to next social media post No Yes
  • 17. Results • 200+ volunteer hours • Health & medical keywords (413) • Medical-related urgent needs (41) • Hospital status updates (100) ~60% completed • Health & medical information on Village Development Committees (85) ~40% completed
  • 19. Discussion Questions • Could the Nepal virtual activation model be applied to researcher planning for future studies? How much  outdated? How fast? How fast from time  discovered to action taken? Stayed within lane? During data analysis period, known fake news/rumors  may have been identified leading to analyst to quickly  ignore investing further time. Did they? Did analyst make any “no” decisions based off  simple conclusion w/o a degree of skepticism? Were they skeptical of  their own skepticism?
  • 20. Discussion Questions • Can practitioner-researcher consensus be achieved to identify mutually beneficial measurable topics for future research consideration during disasters? • Would conducting research within a time-sensitive accelerated environment, using the same methods of research conducted post- disaster, generate similar or different results? • Can the same prior research study conducted post-disaster also be applied during disasters in an effort to garner previously unknown, undocumented intelligence?
  • 21. Discussion Questions • Can research methods and data collection strategies be applied to practitioners’ decision-making needs? • Can social media disaster research be performed during a disaster which generates results that convince skeptical practitioners of social media applicability and value? Available Research Resources: Volunteers
  • 22. Disaster Research Response (DR2) Repository & Website Website: http://dr2.nlm.nih.gov Contact: dr2@nih.gov
  • 23. Thank You Thank you! Steve Peterson, CEM Emergency Management Specialist National Institutes of Health steve.peterson@nih.gov Chris Thompson President Humanity Road chris@humanityroad.org Cat Graham Director of Operations Humanity Road cat@humanityroad.org