Digital Equity / AI Literacy / Data Access
We teach low-income families and students to use AI and data tools, and help the schools and colleges serving them turn data into better decisions, in the U.S. and Colombia.
Our Programs
We teach low-income adults and young people how to use AI and data tools to spot real problems in their own communities and make a clear case for fixing them. It is hands-on problem-solving with real tools, not classroom theory. We are recruiting a cohort of students in Cali, Colombia.
We help teachers and school leaders use their own data to make better decisions. When a school can track attendance, catch struggling students early, and measure where learning is slipping, results improve. We provide the training and simple tools to make that happen.
We help community colleges and universities turn the student data they already collect into clear, easy-to-read dashboards. The goal is simple: help schools that serve low-income and first-generation students see who needs support and act on it.
The Problem
In Colombia, fewer than 13 percent of rural households have a fixed internet connection. And of every 100 children who start school, only 44 graduate from secondary on time, roughly half never finish. Families making decisions about education and economic opportunity often do so without the tools to understand their situation or advocate for change.
Sources: World Bank, 2024; Ministerio de Educación de Colombia (LEE, Universidad Javeriana), 2024.
In Cali and the surrounding Valle del Cauca region, families and young people are actively seeking the skills and tools to understand their own world, yet access without literacy does not close the divide. Tools alone are not enough.
In the United States, low-income families remain structurally excluded from the technology economy despite proximity to it. The barrier is not capacity. It is access to training that meets communities where they are.
At the institutional level, community colleges and universities serving low-income and first-generation students frequently lack the data infrastructure to identify who is falling behind, why, and what to do about it. Without that visibility, equity gaps persist regardless of intent.
Institutional Model
Community colleges and universities serving low-income and first-generation students hold data they cannot fully use. Our College Data Partnerships program aims to build dashboards, data pipelines, and analytical tools alongside institutional staff so they can use their own data to support students.
Dashboards can make student performance, attendance, and equity gaps easier to see.
Staff training helps administrators and faculty read, interpret, and act on their own data.
Advisor views can help staff identify students who may need support sooner.
Where We Work
Urban and peri-urban low-income communities. We are recruiting a cohort of students in Cali. Active development of school and community organization partnerships.
We are starting conversations with colleges in the US and Colombia about student equity and practical data infrastructure.
We are starting conversations with colleges in the US and Colombia.
Get Involved
Programs run on funding and partnerships. Pick the one closest to what you can offer.
Donations fund program delivery first: instruction, devices, connectivity, and partner stipends, with lean operations.
We partner with foundations, higher education institutions, and mission-aligned organizations serious about closing equity gaps. One conversation is enough to know if it fits.
