story analysis method, mapping and tools
DESCRIPTION
For a brown bag presentation at USAID, Jan 2012. Provides brief overview of the GlobalGiving Storytelling Project method and examples of data analyzed with Cognitive Edge SenseMaker(R), Gephi, python, mapbox, and our own custom-built who-who tool.TRANSCRIPT
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How it works
(www.GlobalGiving.org/stories)
What we can learn
from it
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last week…
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Story methodstart
end
2,000
12,000
15 of 470
36 people
30,000+ stories in 2011
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Feedback meetings• Group NGOs: 15 communities
• Regular feedback sessions: present, analyze, & discuss stories
•Identify difference makers (Positive Deviance Model)
• Identify biggest unmet needs, and seek local leader to intervene
•Leaders report back to peers next time (Clinton Global Initiative Model)
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Feedback online1. Project leader dashboard to
display stories• that mention their organization
• near where they work
• related to the problems they address
2. Donors: project pages display related stories on map and wall
3. Stories searchable / analyzable
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Feedback loops• Scribes get messages on how they are doing by SMS
• Storytellers can be contacted and polled
• Storytellers could request information
Search for relevant stories by sms
Link to other aid
info
Ask storyteller a question from web
Get SMS about local events
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Tools
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Community of 400 NGOs in 3 clusters
FGM
SenseMaker®
Gephi network mapping
Mapbox
On-platform tool kit
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SenseMaker ® big picture
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SenseMaker ® big picture
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SenseMaker ® drill down
Mathare slum (951 stories)
Who / What are they talking about?
International NGOS
Local NGOS
Individuals
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Two words to describe yourself:
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http://chewychunks.wordpress.com/2011/10/22/1-percent-who-stand-with-the-99-percent-more-meta-analysis/
29 of 97 stories identify root causes of the
problem
Story analysis without structure
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Inspiration?
This interactive tool makes over 10,000 journal articles on health easy to digest for general public:
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Everywhere Mombasa
http://globalgivingcommunity.com/who-where.php
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(>25 uses)
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(>150 uses)
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(>100 uses)
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Maps
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HIV in Africa(USA TodayInfographic)
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2007 paper
2003 data
135 known ART Sites in 2003
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Stories mentioning HIV(positive to negative tone)
2003 DHS survey clusterdata of HIV prevalence
https://tiles.mapbox.com/stories/map/map-yjb5jlwq
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Epilogue: All maps are distortions.
But these distortions should make it easier to understand the world and help us make smarter decisions.