ICCM 2013 Ignite Session 1

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

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  • In the year 2000, there was the world’s most lead poison epidemic, which killed about 400 children in seven villages in Zamfara State. An Humanitarian Organization – Doctors without Borders then came to the rescue, but before funds could arrive – that number of children have been lost. Funds were made available by the Central Emergency Response Team of the UN to clean up the villages, while MSF take charge of treatment of the children.
  • In Nigeria alone, about $6.5 trillion worth of foreign aid has been received between 2000 and 2012, while the government of the country itself, both federal and state, by the end of 2013 would have spent a whooping sum of $500 million [80 trillion Naira] since 2005. So what? The country still rank 153 amongst 170 countries in the recent Human Development Index and 139 in about 160 countries on the Transparency Corruption Index. Where did all the money go?
  • introduction
  • Proposition: Tools may not always be what you think.
  • Your analysis depends upon your data.
  • Paradigm shift in information systems.
  • First mile is manual, tabular… It’s pen & paper not smartphones.
  • This makes geospatial hard.
  • Walking Papers proved that geo can go to first mile.
  • We made it easier to use by normal people and over a wide area.
  • Create a survey or form. Add a map, collect data and see results.
  • Bridging the cloud-paper divide.
  • High fidelity insights otherwise unachievable.
  • And easy integration into ‘normal’ surveys.
  • Times of crisis different from places of crisis.
  • Times have incentives for collecting/sharing data, crowdsourcing is easier, bureaucracies matter less. Places of crisis fear is greater, need for institutional support is greater.
  • It’s about bending technologies to the institutions that are already there… make yourself useful to real-world incentives.
  • But there are large idiosyncracies in these workflows.
  • To be useful, you have to bend your technology to the incentives and workflows resident there.
  • This means LEARN How data flows + Why data flows that way. Find your minimal intervention point.
  • It’s not just about making white people happy. You have to add real value or it goes away.
  • How do you drive sustained value for the first mile. Connecting the manual world to the digital one at scale.
  • With us?
  • Phrase it not as a project presentation, but as a case study of how mobile technologies can be used for collecting data. Used for a wide range of issues.
  • Phrase it not as a project presentation, but as a case study of how mobile technologies can be used for collecting data. Used for a wide range of issues.
  • Phrase it not as a project presentation, but as a case study of how mobile technologies can be used for collecting data. Used for a wide range of issues.
  • Phrase it not as a project presentation, but as a case study of how mobile technologies can be used for collecting data. Used for a wide range of issues.
  • Phrase it not as a project presentation, but as a case study of how mobile technologies can be used for collecting data. Used for a wide range of issues.
  • Phrase it not as a project presentation, but as a case study of how mobile technologies can be used for collecting data. Used for a wide range of issues.
  • Phrase it not as a project presentation, but as a case study of how mobile technologies can be used for collecting data. Used for a wide range of issues.
  • Phrase it not as a project presentation, but as a case study of how mobile technologies can be used for collecting data. Used for a wide range of issues.
  • Phrase it not as a project presentation, but as a case study of how mobile technologies can be used for collecting data. Used for a wide range of issues.
  • Phrase it not as a project presentation, but as a case study of how mobile technologies can be used for collecting data. Used for a wide range of issues.
  • Phrase it not as a project presentation, but as a case study of how mobile technologies can be used for collecting data. Used for a wide range of issues.
  • Phrase it not as a project presentation, but as a case study of how mobile technologies can be used for collecting data. Used for a wide range of issues.
  • Phrase it not as a project presentation, but as a case study of how mobile technologies can be used for collecting data. Used for a wide range of issues.
  • Phrase it not as a project presentation, but as a case study of how mobile technologies can be used for collecting data. Used for a wide range of issues.
  • Phrase it not as a project presentation, but as a case study of how mobile technologies can be used for collecting data. Used for a wide range of issues.
  • Phrase it not as a project presentation, but as a case study of how mobile technologies can be used for collecting data. Used for a wide range of issues.
  • Phrase it not as a project presentation, but as a case study of how mobile technologies can be used for collecting data. Used for a wide range of issues.
  • ICCM 2013 Ignite Session 1

    1. 1. Ignite Session 1 @CrisisMappers #ICCM
    2. 2. Ketty Adoch @kadoch
    3. 3. Building a Tech Mapping Community in Uganda  Mapping day  Easymappr  Geobucket
    4. 4. Mapping day UG Building a robust OSM community in Uganda www.mappingday.com @mapuganda
    5. 5. Past  3 years  Total mapping events = 25  Trained 400+ people
    6. 6. Present  More mapping events  Monthly meet-ups  Talk-Ug OSM mailing list
    7. 7. Future  More mapping  Community, Community
    8. 8. Low Tech Mapping
    9. 9. Training session
    10. 10. Tech Tools  EasyMappr  Geobucket
    11. 11. Easymappr  Maps one feature at a time www.easymappr.com
    12. 12. Typical User Interface
    13. 13. Easymappr  Plots the feature to OSM
    14. 14. On OSM
    15. 15. Geobucket www.geobucket.org
    16. 16. Geobucket    tracks the longitude and latitude of a phone Un-intrusive for nonmappers anonymous
    17. 17. Data  Saves traces to local database  Uploads to website
    18. 18. OSM id editor  allowing roads/paths to be accurately mapped
    19. 19. Why we are doing this  Working with students and professionals  More detailed mapping  A valuable map
    20. 20. Recap  Building a robust OSM community  Very easy mapping tools
    21. 21. Thank You  ketty@mappingday.com  @kadoch
    22. 22. Hemant Purohit @hemant_pt
    23. 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. 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. 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. 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. 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. 28. Identifying and Matching demandsupply is like Search! • Query: – Demand of food • Results: – Messages and users who are supplying of food
    29. 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. 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. 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. 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. 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. 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. 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. 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. 37. Bring Humans in Processing Loop • Automation may not be enough for coordination – Missing information – Authentication – Verification • Future: Create VerityClicker and VerifyClicker
    38. 38. Coordinated Engagement Interface Categorizing Influencer by need type Visualize Network reach of Influencer View/Engage Influencer profiles and their messages
    39. 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. 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. 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. 42. Oludotun Babayemi @dotunbabayemi
    43. 43. THE “WHERE” CLOUD ????
    44. 44. BEFORE 2012 LATE 2012
    45. 45. http://www.voanews.com/content/nigerian-activists-google-map-capital-city-abuja/1591551.html
    46. 46. 1 DAY TRAINING 4 DAYS OF INTENSE MAPPING 1 DAY ICE BREAKER ;) COORDINATION BY EMAIL , TWITTER AND SMS
    47. 47. 70% - Local Citizens 30% - Government
    48. 48. Free and open Data Continued Collaboration “We need a space to always Come together” – government Officials and citizens
    49. 49. WHO USES THESE TECHNOLOGIES? WHO ARE THE MOST VULNERABLE?
    50. 50. ? Many Thanks
    51. 51. Matt McNabb @caerusgeo @mattrmcnabb
    52. 52. In Praise of
    53. 53. no. insight 1 start at the first mile
    54. 54. From Last Mile to First
    55. 55. #First Mile Data
    56. 56. Where It Begins
    57. 57. GDELT Mexico
    58. 58. Monrovia
    59. 59. Aleppo
    60. 60. no. insight 2 place ≠ time of crisis
    61. 61. Time of Crisis Place of Crisis
    62. 62. Servicing the Ecosystem
    63. 63. Key Punch Operator …?
    64. 64. no. insight 3 the economy of data
    65. 65. Map/Atlas
    66. 66. no. insight 4 drive local value
    67. 67. SaaS in the First Mile?
    68. 68. HELLO @ CaerusGEO.co m
    69. 69. Kuo-Yu slayer Chuang @darkensiva
    70. 70. Two-tier Crowdsourcing for Disaster Information Collection and Coordination
    71. 71. Trusted Crowdsourced Reports Platform Filter Not Verified
    72. 72. Government Military Trusted NGO Platform Opinion Leader Filter Noise Not Verified
    73. 73. Government Military Trusted NGO Platform Opinion Leader Filter Noise Not Verified
    74. 74. Simulation with NGO to get more feedbacks on our platform
    75. 75. Training courses for NGO Volunteers to get familiar with ICT tool
    76. 76. 1st Generation UI 2nd Generation UI
    77. 77. 3rd Generation UI Current UI
    78. 78. Simulation of an Incident Reported by NGO Volunteer
    79. 79. Incident/Task Dispatched with SituationDesk of NGO
    80. 80. Task Received by Supportive Volunteer Geo-tagged SMS works without Data Roaming
    81. 81. Real-time Rain-fall, Water Level, Road Blocked, Tasked Satellite Image Make this platform to be the SituationDesk for NGO
    82. 82. Happy Face Map for Volunteers of NGO
    83. 83. SituationDesk Ushahidi NGO #1 NGO #2 NGO #3 Trusted Coordination Platform
    84. 84. Mash-up of Government Data and Announcement, Military Supports NGO Actions, and Public Response
    85. 85. “Re-tweeted” Report to Ushahidi by NGO
    86. 86. Public Noise NGO #1 NGO #2 More Trusted Reports NGO #3 Public Noise Coordination Platform
    87. 87. Public Noise NGO #1 NGO #2 NGO #3 More Trusted Coordination Reports Platform and Responses Public Noise
    88. 88. iHelp, Disability is NOT Inability
    89. 89. GeoThings, ICT for Humanitarian
    90. 90. Natalie Chang @hinatchang
    91. 91. “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.”
    92. 92. January - February 2013 Humanitarian Data Toolkit Pilot Dadaab, Kenya
    93. 93. Flexible Data Collection: Paper & Mobile Phones
    94. 94. Flexible Data Collection: Paper & Mobile Phones
    95. 95. Mobile – Uploaded via FormHub Paper – Digitized via Captricity + Integrated Data Collection & Analysis
    96. 96. No Internet? No electricity? No problem!
    97. 97. Improved Efficiency: Enumerator Accuracy
    98. 98. Improved Efficiency: Mobile Reduces Time & Error
    99. 99. Next Steps: Bamboo Rapid Data Analysis System
    100. 100. Next Steps: Additional Components & Redesign
    101. 101. Next Steps: Growing the HDT Community
    102. 102. Let’s talk! HumanitarianDataToolkit.org nchang@internews.org @hinatchang | @info_innovation innovation@internews.org
    103. 103. Mark van Embden Andres @ElvaTeam
    104. 104. ELVA.ORG OPEN SOURCE PLATFORM FOR MONITORING LOCAL NEEDS www.Elva.org @ElvaTeam
    105. 105. CROWD SOURCING www.Elva.org @ElvaTeam
    106. 106. CROWD SOURCING www.Elva.org @ElvaTeam
    107. 107. www.Elva.org @ElvaTeam
    108. 108. WORK your CROWD www.Elva.org @ElvaTeam
    109. 109. PEOPLE www.Elva.org @ElvaTeam
    110. 110. CROWDS LIKE FEEDBACK www.Elva.org @ElvaTeam
    111. 111. www.Elva.org @ElvaTeam
    112. 112. www.Elva.org @ElvaTeam
    113. 113. www.Elva.org @ElvaTeam
    114. 114. DIALOGUE www.Elva.org @ElvaTeam
    115. 115. www.Elva.org @ElvaTeam
    116. 116. www.Elva.org @ElvaTeam
    117. 117. NON-MATERIAL INCENTIVES www.Elva.org @ElvaTeam
    118. 118. NON-MATERIAL INCENTIVES www.Elva.org @ElvaTeam
    119. 119. AUTOMATED, LOCALISED WEATHER FORECASTS www.Elva.org @ElvaTeam
    120. 120. POPULAR INCENTIVES • FREE VETERINARIAN CONSULTATION • NOTIFICATIONS OF EPIDEMICS • AGRICULTURAL INFORMATION www.Elva.org @ElvaTeam
    121. 121. 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
    122. 122. 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
    123. 123. ELVA.ORG OPEN SOURCE PLATFORM FOR MONITORING LOCAL NEEDS www.Elva.org @ElvaTeam
    124. 124. Nickson Nyakambi @NyakambiNickson
    125. 125. Crisis Informatics
    126. 126. Microblogging
    127. 127. Collective Intelligence
    128. 128. Digital Convergence
    129. 129. Emergency Medicine
    130. 130. Policy Issues Facing the Use of Social Network Information During Times of Crisis.
    131. 131. Reach a Wider Audience
    132. 132. Send and Receive Emergency Alerts !!
    133. 133. Monitor the Conversation
    134. 134. Integrate data sources for situational awareness Collaborate with Responders
    135. 135.  Health Informatics  Crisis Informatics mobile and web technologies save lives
    136. 136. Chris Orwa @blackorwa
    137. 137. Building Smart Filters for Election Crowdsourcing www.ihub.co.ke/research @ihubresearch
    138. 138. Image courtesy of jtoy.net
    139. 139. CASE STUDY: Assessing the Viability of Crowdsourcing During Elections in Kenya March 2013
    140. 140. Machine Learning
    141. 141. Methodology • • • • • Broad keyword filters Sampling the data Annotating tweets Build a classifier Iterate the process to improve accuracy
    142. 142. Advantages • • • • Obtain unique incidence during an election Enable comparative analysis Imperative to first responders Solves the problem of information overload
    143. 143. Information Dense Environments
    144. 144. Digital humanitarianism now has additional information in its knowledge vault www.ihub.co.ke/research @ihubresearch data@ihub.co.ke
    145. 145. Amanda Donahue @GeoPoll
    146. 146. Image: Ericisson
    147. 147. Image: US Census Bureau
    148. 148. Image: Tuppus [flickr]
    149. 149. Image: swanksalot [flickr]
    150. 150. 2013 Internet Penetration Estimate Image: GSMA SSAMO 2012
    151. 151. Image: Economist 2013
    152. 152. Image: orlovic [wikipedia]
    153. 153. Reach People Assess Needs Send Airtime Send Cash Grants
    154. 154. Thank you for participating in ICCM 2013!
    155. 155. CrisisMappers 2013 Many thanks to our sponsors!

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