How can data and analytics reduce the impact of antimicrobial resistance and bacterial infections in low- and middle-income communities?

Judging Criteria

• 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, it is feasible in the given context, and the team has a reasonable plan for operational sustainability and measurable results that can be proven to work.
• Innovative Approach: The solution includes a new technology, a new application of data, digital tools and/or analytics, a new policy 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 equitable viability and the potential to be scaled to affect the lives of more people in low- and middle-income countries.
• Proximate Leadership: The solution is led by a visionary entrepreneur, innovator, or team who has deep understanding of the communities they serve and the problem they are trying to solve, expertise to develop and implement solutions, and the ability to adapt and respond to fe
• Technical Feasibility: The applicant has provided convincing evidence that the data/analytics underpinning the solution have been built and function as they claim they do, even if only proof-of-concept.