2024 Global Learning Challenge
How can we make learning more inclusive and equitable, while improving outcomes for all learners?
Submissions are Closed
Judges
Christopher Capozzola
Senior Associate Dean for Open Learning, Massachusetts Institute of Technology
United States
Salyne El Samarany
Vice President, Special Olympics Global Center for Inclusion in Education
KG
Kelsey Gaines
Head of STEM Education for Corporate Giving, General Motors
Ambika Kapur
Director, Education Program, Carnegie Corporation of New York
Eric Klopfer
Professor and Director of the Scheller Teacher Education Program and The Education Arcade, MIT
United States
Mariana Luz
CEO, Maria Cecilia Souto Vidigal Foundation
Dr. Peter Materu
Chief Program Officer, Mastercard Foundation
Ana María Raad
Founder, REimagina Foundation
Shin Gee Tan
Senior Director, Temasek Foundation
Zach Yeskel
Director of Product Management, Google for Education
Technical Vetters
JA
Jonathan Adams
Professor, Florida State University
RW
Rosa Weinberg
Design Education Consultant, Morningside Academy for Design
Judging Criteria
- Alignment: The solution uses technology to address one of Solve's Global Challenges.
- Potential for Impact: The planned solution implementation has the potential to impact the intended population.
- Feasibility: The team has a realistic, practical plan for implementing the solution, and it is feasible in the given context.
- Innovative Approach: The solution includes a new technology, a new application of technology, a new business model, or a new process for solving the Challenge.
- Inclusive Human-Centered Design: Inclusive and equitable outcomes are considered in the design, implementation, and internal operations of the solution.
- Scalability: The solution has a plan for financial viability and the potential to be scaled to affect the lives of more people.
- Partnership Potential: The applicant clearly explains how the solution would benefit from some of the resources that the Solve community is positioned to provide.
- Technical Feasibility: If the underlying technology is novel, the applicant has provided convincing evidence that it has been built and functions as they claim it does.
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