Programs
Three programs. One direction.
Each track is designed to operate where the gap is largest and where local capacity exists to sustain the work after we leave.
Community AI and Data Literacy
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.
- Objectives
- Equip participants with applied AI and data skills they can use immediately to analyze conditions in their own neighborhoods and advocate for change.
- Target Population
- Low-income adults and youth in Cali, Colombia, and underserved US urban communities.
- Delivery Model
- Cohort-based instruction in partnership with community organizations. In-language curriculum (Spanish and English). Low-bandwidth, shared-device compatible.
- Current Status
- We are recruiting a cohort of students in Cali. US higher education partnership conversations are in development.
Measurable Outcomes Framework
Participants produce at least one community-data project per cohort, demonstrate AI tool fluency, and report applied use of data skills 90 days post-program.
School and Educator Capacity Building
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.
- Objectives
- Operationalize data-driven decision-making inside under-resourced schools so administrators can identify and act on student-level signals earlier.
- Target Population
- Teachers, principals, and school administrators serving low-income student populations.
- Delivery Model
- Direct training, lightweight tooling, and on-site capacity coaching. Built for intermittent bandwidth and shared-device environments.
- Current Status
- In development with partner schools in our active regions.
Measurable Outcomes Framework
Schools maintain functional attendance, performance, and equity dashboards owned by their own staff after engagement ends.
Higher Education Data Infrastructure
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.
- Objectives
- Give institutions serving low-income and first-generation students operational visibility into the equity gaps they are trying to close.
- Target Population
- Community colleges and four-year universities with significant low-income and first-generation student populations.
- Delivery Model
- Co-designed dashboards, data pipelines, and analytical frameworks built alongside institutional staff so capacity remains after engagement.
- Current Status
- Two higher education partnerships in active development.
Measurable Outcomes Framework
Institutions gain real-time visibility into student performance, attendance, and demographic equity gaps; administrators and faculty operate the dashboards without external analyst dependency.
Partner with us on a program.
We work with foundations, technology partners, and higher education institutions on co-designed program engagements.