climate and health
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The great technical assistance disruption: How peer networks outperform experts at a fraction of the cost
“If health workers do not share their challenges and solutions, we are bound to fail.” This declaration from a participant in the Teach to Reach initiative facilitated by The Geneva Learning Foundation (TGLF) cuts to the heart of a crisis that has long plagued global health technical assistance: the persistent gap between what external experts provide…
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The funding crisis solution hiding in plain sight
“I did not realize how much I could do with what we already have.” A Nigerian health worker’s revelation captures what may be the most significant breakthrough in global health implementation during the current funding crisis. While organizations worldwide slash programs and lay off staff, a small Swiss non-profit, The Geneva Learning Foundation (TGLF), is…
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When funding shrinks, impact must grow: the economic case for peer learning networks
Humanitarian, global health, and development organizations confront an unprecedented crisis. Donor funding is in a downward spiral, while needs intensify across every sector. Organizations face stark choices: reduce programs, cut staff, or fundamentally transform how they deliver results. Traditional capacity building models have become economically unsustainable. Technical assistance, expert-led workshops, international travel, and venue-based training…
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The business of artificial intelligence and the equity challenge
Since 2019, when The Geneva Learning Foundation (TGLF) launched its first AI pilot project, we have been exploring how the Second Machine Age is reshaping learning. Ahead of the release of the first framework for AI in global health, I had a chance to sit down with a group of Swiss business leaders at the…
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Global health: learning to do more with less
In a climate of funding uncertainty, what if the most cost-effective investments in global health weren’t about supplies or infrastructure, but human networks that turn learning into action? In this short review article, we explore how peer learning networks that connect human beings to learn from and support each other can transform health outcomes with…
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Online learning completion rates in context: Rethinking success in digital learning networks
The comprehensive analysis of 221 Massive Open Online Courses (MOOCs) by Katy Jordan provides crucial insights for health professionals navigating the rapidly evolving landscape of digital learning. Her study, published in the International Review of Research in Open and Distributed Learning, examined completion rates across diverse platforms including Coursera, Open2Study, and others from 78 institutions. …
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HPV vaccination: New learning and leadership to bridge the gap between planning and implementation
This article is based on my presentation about HPV vaccination at the 2nd National Conference on Adult Immunization and Allied Medicine of the Indian Society for Adult Immunization (ISAI), Science City, Kolkata, on 15 February 2025. The HPV vaccination implementation challenge The global landscape of HPV vaccination and cervical cancer prevention reveals a mix of…
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A global health framework for Artificial Intelligence as co-worker to support networked learning and local action
The theme of International Education Day 2025, “AI and education: Preserving human agency in a world of automation,” invites critical examination of how artificial intelligence might enhance rather than replace human capabilities in learning and leadership. Global health education offers a compelling context for exploring this question, as mounting challenges from climate change to persistent…
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Knowing-in-action: Bridging the theory-practice divide in global health
The gap between theoretical knowledge and practical implementation remains one of the most persistent challenges in global health. This divide manifests in multiple ways: research that fails to address practitioners’ urgent needs, innovations from the field that never inform formal evidence systems, and capacity building approaches that cannot meet the massive scale of learning required.…
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