ICCM 2013 Ignite Session 1
Upcoming SlideShare
Loading in...5
×
 

ICCM 2013 Ignite Session 1

on

  • 716 views

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

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

Statistics

Views

Total Views
716
Views on SlideShare
429
Embed Views
287

Actions

Likes
0
Downloads
2
Comments
0

8 Embeds 287

http://blog.ushahidi.com 222
http://feedly.com 29
http://feeds.feedburner.com 19
http://www.ushahidi.com 7
http://digg.com 5
http://www.hanrss.com 3
http://www.newsblur.com 1
http://webmail.deu.ac.kr 1
More...

Accessibility

Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment
  • 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 ICCM 2013 Ignite Session 1 Presentation Transcript

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