3. Our Mission
Our Mission:
GMI leverages research and technology to create,
cultivate, and communicate mission information
leading to insight that inspires Kingdom service.
3
Information
Provision
Decision
Support
Kingdom-Centered
Outcomes-based
Evaluation
The Knowledge Stewardship Cycle
5. The Challenge of
Too Much Information
• Data is everywhere
• Data doesn’t always agree neatly
• Data can be used manipulatively
• Data can be too specific
7. Living in a
Post-Literate World
• A failure to screen content: We let it all in!
• Skimming not reading: Read a book in 10 minutes
• Consuming without applying: NEXT
• Sharing without thinking: “Joe or Jane will love this!”
9. Key Skills in a
Post-Literate World
• Curating content
• Using Visual Cues
• Following Influencers
• Reading Intentionally
• Knowing Where to Find Everything Else
11. Popularizing Complex
Concepts
• Things naturally get complex
• Modernity taught us push for knowledge
• Simplicity takes radical discipline
• Simplicity is at the heart of popularization
12. To popularize is to…
• Make data
• understandable
• accessible
• actionable
13. Design to Be Understood
• Don’t be too creative
• Think in “idea chunks”
• Think where your infographic might end up
• Balance of content to design
17. Key Points
• Show don’t tell – fewer words! (Hard for researchers.)
• Do you have the right data?
• Is there a reason to share it – next step.
• Does your text, data and visual work together or are
you fighting yourself?
• Are you adding confusion/changing meaning?
19. How to Move Data To
Narrative
1. What about this data will make a difference in
your context?
2. How could you package that in a compelling
way?
3. What is the hook?
4. What are the key pieces of the story?
5. What is the visual theme holding it together?
6. Is it easy to navigate and follow?
7. Is it easy to share and curate? – size matters!
22. What We Have
Learned So Far
1. Find the gems – data that really says something
2. Create and defend your basic idea
3. Write a script – just like you would for a radio
show
4. Validate the script with those who understand the
data
5. Hire designers who get data (there is a growing
group of them)
6. Validate the design to make sure that the
visualization has stayed true to the data
23. The Great Responsibility
• So much data with so little analysis leads to
assumptions
• How can we represent data accurately while still
making it compelling?
• What is our responsibility when we know our reader
may not go beyond the graphic?
24. The Role of Maps
• A context for understanding the world
• Layering multiple sets of data for analysis
• A way to make global decisions