Mesh-AI
Take part in a short survey to help Mesh to develop a new artificial intelligence tool to respond to questions on community engagement, drawing from Mesh resources
This project will develop a rail-guarded, ethically governed AI-powered discovery tool to improve access to solutions, resources, and practical guidance for public, community, patient, and stakeholder engagement in global health research. Drawing on trusted and curated sources including Mesh, The Global Health Network (TGHN), WHO, NIHR, Wellcome, AVAC, and other authoritative platforms, the tool will help users navigate the growing body of engagement knowledge and identify contextually relevant approaches to engagement challenges. In addition to generating new content, the AI will enhance the discoverability of existing evidence, tools, case studies, and resources, enabling researchers, practitioners, and community partners to more easily find engagement solutions suited to their needs and settings.
The project adopts a human-centred and equity-focused approach, combining AI innovation with strong ethical oversight and regional expertise. AI-driven indexing, metadata enrichment, semantic search, and recommendation capabilities will be developed alongside mechanisms for human validation and continuous review. Mesh regional coordinators and local experts will play a central role in shaping terminology, taxonomy development, tagging, evaluation, and quality assurance to ensure cultural relevance, reduce bias, and support inclusive representation of diverse perspectives and contexts. Through participatory governance, trusted-source selection, ongoing evaluation, and capacity building for AI engineers in low- and middle-income countries, the project aims to create an open, transparent, and culturally responsive tool that strengthens global access to engagement knowledge and practice.
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Thank you for visiting The Global Health Network, please take a moment to read this important message. As you know, our aim is to enable equity in access to research knowledge and this is successfully delivering support and training to 1000’s of research teams all over the world. But we need your support!. If you have benefited from this research skills and knowledge sharing facility, please help us sustain this remarkable and unique provision of information for those who could otherwise not access such support and training. We would be really grateful if you could make a donation or ask your employer or organisation to contribute to the costs of maintaining this platform and the generation of new contents for all users. Just a small contribution from everyone who can afford to pay would keep this available for those who cannot. Thank you, we really appreciate your part in this community effort to better equity in global health research.