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.
14. 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
33. Stories mentioning HIV ( positive to negative tone) 2003 DHS survey cluster data of HIV prevalence https://tiles. mapbox .com/stories/map/map-yjb5jlwq
35. Epilogue: All maps are distortions. But these distortions should make it easier to understand the world and help us make smarter decisions.
Notes de l'éditeur
Words, phrases, and an estimated hierarchy – relevance to the hierachy of needs.
I need a lexicon of the 150 most important phrases to map on who-where.php
153 ART sites known in 2003. Where is the real-time data, and what is the real-time method?
153 ART sites known in 2003. Where is the real-time data, and what is the real-time method? How much time did it take to generate data for this 2007 paper?