The Trinity Challenge on Antimicrobial Resistance
How can data and analytics reduce the impact of antimicrobial resistance and bacterial infections in low- and middle-income communities?
Co-chairs
Dr. Mark Dybul
Professor of Medicine, Chief Strategy Officer, Center for Global Health Practice and Impact, Georgetown University Medical Center
Dr. Divleen Jeji
India Lead, Google Health
Judges
Dr. Metuge Alain
Head of Health Department, Reach Out Cameroon
Dr. Yewande Alimi
One Health Unit Lead, Africa CDC
Elizabeth Ashley
Director, Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit
Akhil Bansal
Founder, AMR Funding Circle
Karen Bett
Senior Policy Manager, Data Equity & Inclusion, Global Partnership for Sustainable Development Data
Prof Chris Butler
Clinical Director, Primary Care Clinical Trials Unit, University of Oxford, Nuffield Department of Primary Care Health Sciences, University of Oxford
United Kingdom
Dr. Mark Dybul
Professor of Medicine, Chief Strategy Officer, Center for Global Health Practice and Impact, Georgetown University Medical Center
Glenda Gray
President and CEO, South African Medical Research Council
Aqil Jeenah
Management Consultant | Veterinarian, McKinsey & Company
Dr. Divleen Jeji
India Lead, Google Health
Lesley-Anne Long
CEO, Wonderfuture
Dr. Sumi Robson
Senior Research Manager, Wellcome Trust
Erick Venant
Founder, Roll Back Antimicrobial Resistance Initiative (RBA Initiative)
Prof. Timothy Walsh
Microbiologist, Ineos Oxford Institute
Dr. Peiling Yap
Chief Scientist, HealthAI - The Global Agency for Responsible AI in Health
Switzerland
Judging Criteria
Solve’s unique selection methodology is a multi-phase process that includes screening, review, and judging. Expert panels of judges utilize evaluation criteria to assign quantitative scores to each solution. These scores, coupled with qualitative deliberation discussion, determine the selection of winning teams.
Solve’s standard scoring rubric uses the below criteria to assess the solutions:
Challenge Alignment: The solution uses data, digital tools and/or analytics to address one or more Challenge objectives
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 feedback, along with the necessary skills and track record to improve, expand, or replicate their solution
- Technical Feasibility: If the digital tools and/or analytics are novel, the applicant has provided convincing evidence that it has been built and functions as they claim it does even if only proof-of-concept
Submit a Solution
to Top