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Enabling Equitable Access to Healthcare

with WHO GIS Centre for Health

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Project
Seamus Geraty

A Perfect Machine Learning Training Data Set?

“What is good enough” is a living question that has evolved over the span of the ramp project. It starts at the end, in defining our use case and engaging end-users as advisors to get an idea of how the model outputs will be utilized. Working backward in this way has allowed us to craft our approach to establishing training data guidance and quality assurance . . .

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Project
Matt Hallas

Creating our on-ramp: how to train a hungry AI model

The ramp project is an ambitious endeavor for many reasons, not the least of which is the curation and open release of high-quality training data in the form of tens of thousands of high-resolution imagery chips with accompanying labels that “teach” our machine learning model . . .

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Culture
Jeff Pituch

COVID Reflections

We failed to recognize community and country needs in rolling out COVID Vaccines. We can learn from these mistakes. There are two popular meta-narratives on

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Project
Rhiannan Price

Introducing the RAMP Project

Leap-frogging the digital divide There’s power in mapping. Maps mean recognition – an acknowledgment that communities exist and have needs. To be on the map

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Culture
Sharon Kioko

From Nairobi and Back Again

As a teenager, I was unsure of my future and all the potential paths between the local and global chasm. How am I supposed to change the world for good? How can one person truly understand the world? How can change transcend borders, cultures and histories?

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