Google's Product Inclusion & Equity Summit — Health Equity Tracker Demo
Talk/Presentation · October 2023
Google hosted its inaugural Product Inclusion & Equity (PI&E) Summit, bringing together ~400 leaders from tech, arts, entertainment, nonprofits, and academia. The summit aimed to foster conversations on building with equity at the forefront of product creation. The Health Equity Tracker (HET) was selected as one of the featured demos on the event floor.
Location: Sunnyvale, California
My Reflection:
Being invited to present the HET at Google's inaugural PI&E summit validated that our work on health equity and data accessibility was resonating beyond academia into industry spaces. At the last moment, Eric and I were informed that we couldn't present alongside Chi due to processes that were needing a three-week timeline to clear external presenters, but we were able to attend as guests in the end. After Chi's presentation, we were able to demo the HET and network with other Google.org project teams. It was meaningful to see a major tech company deliberately create space for cross-sector dialogue on inclusion and equity—and to demonstrate that our small team's commitment to centering community voice in data visualization was aligned with what companies like Google were beginning to prioritize. This event reinforced that product inclusion isn't a nice-to-have; it's essential work.
Related work
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CHARLIE (Community Health Analytics & Responsive Learning Intelligence Engine) is a mobile-first, AI-powered platform I independently designed and built in 2025, over a fixed pre-accelerator program period, to translate federal public health data into plain-language insight for non-technical users — building on a concept a colleague originally proposed in a different technical form.
I took an idea a colleague originally developed — proposed to an outside AI grant program in a resource-intensive, fine-tuned-model form that ultimately wasn't funded — and independently designed and built an entirely different implementation using Bubble's no-code platform and Anthropic's Claude API directly. Completing Bubble's Immerse pre-accelerator program gave the project structured mentorship as I refined it; once the program period ended, the ongoing cost of running an unfunded, solo-maintained no-code app outpaced what made sense for me to sustain, and the engineers who maintain HET itself have since carried the API-integration approach forward into HET's own infrastructure. I chose Anthropic's Claude API specifically because, in a health equity context, algorithmic bias can determine who gets diagnosed, treated, or overlooked — making AI-provider selection itself a trust and equity decision for the users I designed for.
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