Slides from the 2013 International Conference of Crisis Mappers in Nairobi, Kenya. Learn more at crisismappers.net

1. Ignite Session 1
@CrisisMappers
#ICCM

2. Ketty Adoch
@kadoch

3. Building a Tech Mapping
Community in Uganda

Mapping day

Easymappr

Geobucket

4. Mapping day UG
Building a robust OSM community in Uganda
www.mappingday.com
@mapuganda

5. Past

3 years

Total mapping events = 25

Trained 400+ people

6. Present

More mapping events

Monthly meet-ups

Talk-Ug OSM mailing list

7. Future

More mapping

Community, Community

8. Low Tech Mapping

9. Training session

10. Tech Tools

EasyMappr

Geobucket

11. Easymappr

Maps one feature at a time
www.easymappr.com

12. Typical User Interface

13. Easymappr

Plots the feature to OSM

14. On OSM

15. Geobucket
www.geobucket.org

16. Geobucket



tracks the longitude
and latitude of a
phone
Un-intrusive for nonmappers
anonymous

17. Data

Saves traces to local database

Uploads to website

18. OSM id editor

allowing roads/paths to be accurately mapped

19. Why we are doing this

Working with students and professionals

More detailed mapping

A valuable map

20. Recap

Building a robust OSM community

Very easy mapping tools

21. Thank You

ketty@mappingday.com

@kadoch

22. Hemant Purohit
@hemant_pt

23. Leveraging Social Media Communities
To Assist Coordination
Whom to coordinate with, Why and How
Image Source: http://www.dashe.com/blog/social-learning/how-social-networks-can-harness-the-power-of-weak-ties/

24. [Big] Citizen Sensing
• Do you know?
– #tweets In the first week of Hurricane Sandy?
– #tweets in the first two days of Oklahoma tornado?
Image: http://www.socialmediaexplorer.com/social-media-marketing/using-an-internal-social-network-to-solve-real-business-problems/

25. [Big] Ad-hoc Community
[REQUEST]
Me and @CeceVancePR are
coordinating a clothing/food
drive for families affected by
Hurricane Sandy. If you
would like to donate, DM us
[OFFER]
Does anyone know how to
donate clothes to hurricane
#Sandy victims?
HOW BEST can responders hear and engage citizens
of this community?
Image: http://www.gizmodo.com.au/2012/04/how-we-identify-single-voices-in-a-crowd/

26. Uncoordinated Engagement
• May lead to second disaster to be managed:
– Under-supply of required demands
– Over-supply of not required resources
• Hurricane Sandy example,
“Thanks, but no thanks”,
NPR, Jan 12 2013
• Story
link:http://www.npr.org/2013/0
1/09/168946170/thanks-butno-thanks-when-postdisaster-donationsoverwhelm

27. Coordinated Engagement
• Critical function of coordination
1. Identify
– Demand
– Supply
2. Match the complementary intentions
3. Engage with the important actors
– Demander & Supplier
– Community Influencer with high network reach

28. Identifying and Matching demandsupply is like Search!
• Query:
– Demand of food
• Results:
– Messages and users who are supplying of food

29. Enabling Relief Coordination
• Challenges:
1. Ambiguity in expression
Anyone know where the nearest
#RedCross is?
I wanna give blood today to help the
victims of hurricane Sandy.
2. Matching intentions
3. Verify

30. Enabling Relief Coordination
• Challenges:
1. Identifying demand-supply intentions is tricky!
2. Matching intentions is also context sensitive!
•
E.g., different times and geography
Me and @CeceVancePR are coordinating a
clothing/food drive for families affected by Hurricane
Sandy. If you would like to donate, DM us. (DEMAND)
I want to send some clothes for hurricane relief (SUPPLY)
1. Verify

31. Enabling Relief Coordination
• Challenges:
1. Identifying demand-supply intentions is tricky!
2. Matching intentions is also contextual!
3. Assessing trust during verification
Me and @xyz123 are coordinating a clothing/food
drive for families affected by Hurricane Sandy. If you
would like to donate, DM us. (DEMAND)
Should I trust?

32. Examples from our analysis during
Oklahoma Tornado
• Machine Learning driven classification system
• 2.1 million tweets crawled in the first 48 hours
• 7% related to donations
– 1.3% monetary requests
– ~500 non-monetary requests
– ~150 resource/service offers

33. Identify
DEMAND
If you would like to
VICTIM SITE
volunteer today, help
is desperately needed in
Shawnee. Call 273-5331
for more info
Text "FOOD" to
32333, REDCROSS to 90999, or
STORM to 80888 to donate $10
in storm relief. #moore #oklahoma
#disasterrelief #donate
RESPONSE TEAMS
Image: http://offthewallsocial.com/tag/social-media/

34. Identify
SUPPLY
RT @OpOKRelief:
Southgate Baptist Church
on 4th Street in Moore
has food, water, clothes,
diapers, toys, and more.
If you can't go,call 794
Where do I go to
help out for
volunteer work
around Moore?
Anyone know?
CITIZEN SENSORS
Does anyone
know where to
send a check to
donate to the
tornado victims?
RESPONSE TEAMS
Image: http://offthewallsocial.com/tag/social-media/

35. If you would like to volunteer
today, help is desperately needed in
Shawnee. Call 273-5331 for more info
Identify
CONTEXT
VICTIM SITE
Text "FOOD" to
32333, REDCROSS to
90999, or STORM to
80888 to donate $10 in
storm relief. #moore
#oklahoma
#disasterrelief #donate
RESPONSE TEAMS
Where do I go
to help out for
volunteer work
around Moore?
Anyone know?
CITIZEN SENSORS
Does anyone
know where to
send a check to
donate to the
tornado
victims?
Image: http://offthewallsocial.com/tag/social-media/

36. Match
DEMAND
-SUPPLY
If you would like to volunteer
today, help is desperately needed in
Shawnee. Call 273-5331 for more info
Matched
VICTIM SITE
Text "FOOD" to 32333,
REDCROSS to 90999, or
STORM to 80888 to
donate $10 in storm
relief. #moore
#oklahoma
#disasterrelief #donate
RESPONSE TEAMS
Where do I go
to help out for
volunteer
work around
Moore?
Anyone know?
CITIZEN SENSORS
Matched
Does anyone
know where to
send a check to
donate to the
tornado
victims?
Image: http://offthewallsocial.com/tag/social-media/

37. Bring Humans in Processing Loop
• Automation may not be enough for coordination
– Missing information
– Authentication
– Verification
• Future: Create VerityClicker and VerifyClicker

38. Coordinated Engagement Interface
Categorizing Influencer
by need type
Visualize
Network
reach of
Influencer
View/Engage
Influencer profiles and
their messages

39. Engagement Interface for DemandSupply in Space & Time
What-Where-How-Who-Why
Coordination
Contextual
Information for a
chosen topical
tags
Summarization of
Demand and Supply
related messages

40. Conclusion
• A focus on demand-supply centric technology
for social media can assist coordination
• Actionable filtering rather than generic
• Contact: hemant@knoesis.org , @hemant_pt

41. Acknowledgement
• NSF SoCS project at Ohio Center of Excellence
in Knowledge-enabled Computing (Kno.e.sis)
• Advisers: Profs. A. Sheth & S. Parthasarathy
(Computer Science), V. Shalin & J. Flach (Pyschology)
• Mentors: Drs. C. Castillo, P. Meier, F. Diaz, M.
Nagarajan, A. Dow
Contact: hemant@knoesis.org , @hemant_pt

42. Oludotun Babayemi
@dotunbabayemi

44. THE “WHERE” CLOUD ????

45. BEFORE 2012
LATE 2012

47. http://www.voanews.com/content/nigerian-activists-google-map-capital-city-abuja/1591551.html

48. 1 DAY TRAINING
4 DAYS OF INTENSE MAPPING
1 DAY ICE BREAKER ;)
COORDINATION BY EMAIL , TWITTER AND SMS

49. 70% - Local Citizens
30% - Government

50. Free and open Data
Continued Collaboration
“We need a space to always
Come together” – government
Officials and citizens

55. WHO USES THESE TECHNOLOGIES?
WHO ARE THE MOST VULNERABLE?

61. ?
Many Thanks

62. Matt McNabb
@caerusgeo
@mattrmcnabb

63. In
Praise
of

64. no.
insight 1
start at the first mile

65. From
Last Mile
to First

66. #First Mile Data

67. Where It Begins

68. GDELT Mexico

71. Monrovia

72. Aleppo

74. no.
insight 2
place ≠ time of crisis

75. Time of
Crisis
Place of Crisis

76. Servicing the Ecosystem

77. Key
Punch
Operator …?

78. no.
insight 3
the economy of data

79. Map/Atlas

80. no.
insight 4
drive local value

81. SaaS
in the
First Mile?

82. HELLO @
CaerusGEO.co
m

83. Kuo-Yu slayer Chuang
@darkensiva

84. Two-tier Crowdsourcing
for Disaster Information Collection
and Coordination

85. Trusted
Crowdsourced
Reports
Platform
Filter
Not Verified

86. Government
Military
Trusted
NGO
Platform
Opinion Leader
Filter
Noise
Not Verified

87. Government
Military
Trusted
NGO
Platform
Opinion Leader
Filter
Noise
Not Verified

88. Simulation with NGO to get more feedbacks on our platform

89. Training courses for NGO Volunteers to get familiar with ICT tool

90. 1st Generation UI
2nd Generation UI

91. 3rd Generation UI
Current UI

92. Simulation of an Incident Reported by NGO Volunteer

93. Incident/Task Dispatched with SituationDesk of NGO

94. Task Received by Supportive Volunteer
Geo-tagged SMS works without Data Roaming

95. Real-time Rain-fall, Water Level, Road Blocked, Tasked Satellite Image
Make this platform to be the SituationDesk for NGO

96. Happy Face Map for Volunteers of NGO

97. SituationDesk
Ushahidi
NGO #1
NGO #2
NGO #3
Trusted
Coordination
Platform

98. Mash-up of Government Data and Announcement, Military Supports
NGO Actions, and Public Response

99. “Re-tweeted” Report to Ushahidi by NGO

100. Public Noise
NGO #1
NGO #2
More
Trusted
Reports
NGO #3
Public Noise
Coordination
Platform

101. Public Noise
NGO #1
NGO #2
NGO #3
More
Trusted
Coordination
Reports
Platform
and
Responses
Public Noise

102. iHelp, Disability is NOT Inability

103. GeoThings, ICT for Humanitarian

104. Natalie Chang
@hinatchang

108. “Humanitarianism in the Network Age”
UN OCHA Policy and Studies Series, 2013
“…humanitarians must adapt to the idea of information
as a basic need in humanitarian response…
…The network age [allows] humanitarian organizations
to…incorporate more information from people
affected by crisis into their decisions and
potentially enable communities to be true
stakeholders.”

112. January - February 2013
Humanitarian Data Toolkit Pilot
Dadaab, Kenya

115. Flexible Data Collection: Paper & Mobile Phones

116. Flexible Data Collection: Paper & Mobile Phones

117. Mobile – Uploaded via FormHub
Paper – Digitized via Captricity
+
Integrated Data Collection & Analysis

118. No Internet? No electricity? No problem!

119. Improved Efficiency: Enumerator Accuracy

120. Improved Efficiency: Mobile Reduces Time & Error

121. Next Steps: Bamboo Rapid Data Analysis System

122. Next Steps: Additional Components & Redesign

123. Next Steps: Growing the HDT Community

124. Let’s talk!
HumanitarianDataToolkit.org
nchang@internews.org
@hinatchang | @info_innovation
innovation@internews.org

125. Mark van Embden Andres
@ElvaTeam

126. ELVA.ORG
OPEN SOURCE PLATFORM
FOR MONITORING LOCAL NEEDS
www.Elva.org
@ElvaTeam

127. CROWD
SOURCING
www.Elva.org
@ElvaTeam

128. CROWD
SOURCING
www.Elva.org
@ElvaTeam

129. www.Elva.org
@ElvaTeam

130. WORK
your
CROWD
www.Elva.org
@ElvaTeam

131. PEOPLE
www.Elva.org
@ElvaTeam

132. CROWDS LIKE
FEEDBACK
www.Elva.org
@ElvaTeam

133. www.Elva.org
@ElvaTeam

134. www.Elva.org
@ElvaTeam

135. www.Elva.org
@ElvaTeam

136. DIALOGUE
www.Elva.org
@ElvaTeam

137. www.Elva.org
@ElvaTeam

138. www.Elva.org
@ElvaTeam

139. NON-MATERIAL
INCENTIVES
www.Elva.org
@ElvaTeam

140. NON-MATERIAL
INCENTIVES
www.Elva.org
@ElvaTeam

141. AUTOMATED, LOCALISED
WEATHER FORECASTS
www.Elva.org
@ElvaTeam

142. POPULAR INCENTIVES
• FREE VETERINARIAN CONSULTATION
• NOTIFICATIONS OF EPIDEMICS
• AGRICULTURAL INFORMATION
www.Elva.org
@ElvaTeam

143. LOCAL LANGUAGES
PERSONAL CONTACT
OPEN SOURCE
GAMIFICATION
DIFFERENT REPORTING FORMATS
MATERIAL INCENTIVES
TRAININGS
ACCESSIBLE UI
BROAD RANGE OF DEVICES
NON-MATERIAL INCENTIVES
www.Elva.org
@ElvaTeam

144. LOCAL LANGUAGES
PERSONAL CONTACT
OPEN SOURCE
GAMIFICATION
DIFFERENT REPORTING FORMATS
MATERIAL INCENTIVES
TRAININGS
ACCESSIBLE UI
BROAD RANGE OF DEVICES
NON-MATERIAL INCENTIVES
www.Elva.org
@ElvaTeam

145. ELVA.ORG
OPEN SOURCE PLATFORM
FOR MONITORING LOCAL NEEDS
www.Elva.org
@ElvaTeam

146. Nickson Nyakambi
@NyakambiNickson

147. Crisis
Informatics

148. Microblogging

149. Collective Intelligence

150. Digital Convergence

151. Emergency Medicine

152. Policy
Issues
Facing the
Use of
Social
Network
Information
During
Times of
Crisis.

161. Reach a Wider Audience

162. Send and Receive Emergency Alerts !!

163. Monitor the Conversation

164. Integrate data sources for
situational awareness
Collaborate with
Responders

165.  Health Informatics
 Crisis Informatics
mobile and web technologies save lives

166. Chris Orwa
@blackorwa

167. Building Smart Filters for Election
Crowdsourcing
www.ihub.co.ke/research
@ihubresearch

170. Image courtesy of jtoy.net

172. CASE STUDY:
Assessing the Viability of Crowdsourcing During
Elections in Kenya March 2013

174. Machine Learning

176. Methodology
•
•
•
•
•
Broad keyword filters
Sampling the data
Annotating tweets
Build a classifier
Iterate the process to improve accuracy

180. Advantages
•
•
•
•
Obtain unique incidence during an election
Enable comparative analysis
Imperative to first responders
Solves the problem of information
overload

182. Information Dense Environments

185. Digital humanitarianism now has additional
information in its knowledge vault
www.ihub.co.ke/research
@ihubresearch
data@ihub.co.ke

186. Amanda Donahue
@GeoPoll

191. Image: Ericisson

192. Image: US
Census Bureau

193. Image: Tuppus [flickr]

194. Image: swanksalot [flickr]

195. 2013 Internet Penetration Estimate
Image: GSMA SSAMO 2012

196. Image: Economist 2013

199. Image: orlovic [wikipedia]

204. Reach People
Assess Needs
Send Airtime
Send Cash Grants

206. Thank you for participating in
ICCM 2013!

207. CrisisMappers 2013
Many thanks to our sponsors!