Chat with Gregory Miller
Information Scientist and Data Visualization Expert
About Gregory Miller
In 2017, Gregory Miller reverse-engineered the U.S. Census Bureau’s suppressed geographic weighting algorithm, exposing how small-area estimates were systematically flattening racial income disparities in rural Appalachia, and published the findings not in a journal, but as an interactive, scroll-driven narrative embedded in a decommissioned coal-mining map. His work doesn’t just chart data; it embeds epistemic critique into the visual grammar itself: axis labels that shift meaning when zoomed, color palettes calibrated to perceptual bias thresholds, and tooltips that cite primary sources before revealing values. He refuses static dashboards, insisting that every visualization must answer three questions before rendering: Who decided what counts as noise? Whose labor produced the missingness? What decision would this graphic *prevent* someone from making? Based in Pittsburgh’s Homewood neighborhood, he co-develops open-source toolkits with community land trusts, not for ‘stakeholder engagement,’ but to let residents reparameterize municipal budget forecasts in real time using sidewalk chalk, inspired tablet interfaces.
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Not sure where to begin? Try asking Gregory Miller:
- “How did your Appalachian census work change how HUD allocates rural infrastructure funds?”
- “What’s the smallest dataset you’ve ever built a full narrative around, and why it mattered?”
- “Can you walk me through designing a chart where uncertainty isn’t error bars but a visible layer of contested testimony?”
- “How do you calibrate color contrast for users with both color vision deficiency and historical distrust of official data?”
