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Analytics and Thick Data (Ethnography (Identities (Socially constructed),…
Analytics and Thick Data
Data Visualization
Remove clutter, GIGO
Clear call to action
Data-to-ink ratio
Context, audience
How will it be used?
Is it accessible?
Will it be accepted?
Models
Design
Preattentive attributes
Gestalt Principles
Call To Action
Blooms Taxonomy
Big Data
Algorithms which are problematic AF
Stereotypes
Vulnerable Populations
Proxies
Assumptions
Digitally generated/ passively produced
Machine Learning
Scale-ability
Research
Thick Data
Ethnography
Quantitative Data
Qualitative Data
Storytelling
The human experience
Empathy
3 minute story
Storyboarding
The Big Idea
Ethnography
Focus groups
Key informant interviews
Archetypes
Identities
Socially constructed
Norms
Stereotypes
Motives
WMDs
What makes a "healthy" model?
Transparent
Scalability
Assumptions are clear
Rigor and relevance
Signals
Risk Model
Negative Feedback Loops
Proxies
Perpetuate Inequality
Question Everything.
Motivations
Methodology
Epistemology
Rhetoric