AI & ML for Economic Mobility

Runwei.org is a nonprofit advancing economic mobility by building and governing AI systems that prove measurable impact for people historically excluded from opportunity.

Mission, Vision, and Values

Our commitment to advancing economic mobility through responsible AI and data science

Our Mission

Runwei.org exists to provide independent verification and governance infrastructure that ensures AI and advanced data science genuinely improve economic mobility and financial inclusion — proving what works, for whom, and under what conditions.

Our Vision

We envision a future where AI systems are not just powerful, but accountable — where technological innovation measurably expands economic opportunity, reduces structural inequality, and enables individuals and communities to build sustainable pathways to prosperity.

Our Values

Evidence Over Hype

We prioritize rigorous evaluation, transparency, and measurable outcomes over speculative claims or unproven impact.

Equity by Design

We center historically excluded communities in how AI systems are designed, tested, and governed.

Public‑Interest Technology

We believe AI should serve the public good, strengthening institutions, opportunity pathways, and democratic accountability.

Open Collaboration

We work across academia, policy, philanthropy, industry, and student communities to build shared infrastructure and collective learning.

What We Build

AI Agent Labs

Student‑built AI agents supporting funding discovery, workforce access, and public‑interest data systems.

Verification & Evaluation

Applied ML frameworks that measure real‑world earnings, access, and opportunity outcomes.

Open Research & Policy

Transparent research translating AI innovation into evidence funders and policymakers can trust.

Verification Simulator

Test how an AI system designed for economic mobility or financial inclusion performs against Runwei's independent evaluation standards. Our LLM‑powered simulation engine generates a preliminary, non‑binding analysis to surface risks, assumptions, and potential impact.

Test an AI Use Case

Describe an AI system intended to improve economic mobility or financial inclusion. Example: AI‑driven credit scoring for migrants without traditional credit histories.

Simulation Results

Simulation results will appear here. Outputs may include:

  • Equity and bias risk signals
  • Data quality and governance flags
  • Expected mobility or access pathways
  • Evidence gaps requiring validation

This simulator provides an exploratory assessment only and does not constitute certification or endorsement.

🚀 NOW RECRUITING

100‑Hour AI Impact Fellowship

Join college students, graduate students, and early‑career technologists building AI agents that advance economic mobility and financial inclusion.

Available Projects

Choose a project that aligns with your skills and interests

Evaluation Agent

Build an evaluation agent that assesses whether data is accurate, current, and equitably aligned with economic mobility outcomes for specific populations.

Python ML Data Analysis

Verification Simulator Engine

Contribute to the LLM‑powered verification simulator that evaluates AI use cases for bias, governance risks, and real economic mobility outcomes.

LLMs AI Safety Ethics

Workforce & Skills Mapping

Design models that map skills, credentials, and non‑traditional experience to emerging job pathways and income mobility trajectories.

NLP Graph ML APIs

Public‑Interest Data Pipelines

Help build and validate data pipelines integrating public datasets used to assess access, earnings, and opportunity outcomes.

ETL SQL Data Eng

Apply Now

Why Join This Fellowship

Real-World Experience

Build production-ready AI agents for public-interest applications

Expert Mentorship

Learn from practitioners across research, policy, and industry

Portfolio Projects

Showcase work grounded in policy and measurable economic impact

Recognition

Certificate of contribution and professional references upon completion

Contact

Interested in partnering, volunteering, or learning more about our work? Reach out and we'll get back to you.