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Nigeria Immunization Agenda 2030 Collaborative: Piloting a national peer learning programme

Reda SadkiGlobal health

Insights report about Nigeria’s Immunization Agenda 2030 Collaborative surfaces surprising solutions for both demand- and supply-side immunization challenges When 4,434 practitioners from all 36 states asked why children in their communities remained unvaccinated, the problems they thought they understood often had entirely different root causes. “I ended up being surprised at the answer I got,” said one health worker. Half of the health workers who participated in Nigeria’s largest-ever peer learning exercise in July 2024 discovered that their initial assumptions about local immunization challenges were wrong. The six-week programme generated 409 detailed analyses of local immunization challenges, with each reviewed by peers across the country. One year after The Geneva Learning Foundation launched the first Immunization Agenda 2030 Collaborative, in partnership with UNICEF and Gavi, under the auspices of the Nigeria Primary Health Care Development Agency (NPHCDA), a comprehensive insights report documents findings that illuminate persistent gaps between health system …

What is the Impact Accelerator

What is The Geneva Learning Foundation’s Impact Accelerator?

Reda SadkiGlobal health

Imagine a social worker in Ukraine supporting children affected by the humanitarian crisis. Thousands of kilometers away, a radiation specialist in Japan is trying to find effective ways to communicate with local communities. In Nigeria, a health worker is tackling how to increase immunization coverage in their remote village. These professionals face very different challenges in very different places. Yet when they joined their first “Impact Accelerator”, something remarkable happened. They all found a way forward. They all made real progress. They all discovered they are not alone. The Impact Accelerator is a simple, practical method developed by The Geneva Learning Foundation that helps professionals turn intent into action, results, and outcomes. It has worked equally well in every country where it has been tried. It has helped people – whatever their knowledge domain or context – strengthen action and accelerate progress to improve health outcomes. Each time, in each …

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PFA Accelerator: across Europe, practitioners learn from each other to strengthen support to children affected by the humanitarian crisis in Ukraine

Reda SadkiGlobal health

In the PFA Accelerator, practitioners supporting children are teaching each other what works. Every Friday, more than 240 education, social work, and health professionals across Ukraine and Europe file reports on the same question: What happened when you tried to help a child this week? Their answers – grounded in their daily work – are creating new insights into how Psychological First Aid (“PFA”) works in active conflict zones, displacement centers, and communities hosting Ukrainian families. These practitioners implement practical actions with children each week, then share what they learn with colleagues from all over Europe who face similar challenges. The tracking reveals stark patterns. More than half work with children showing anxiety, fear, and stress responses triggered by air raids, family separation, or displacement. Another 42% focus on children struggling to connect with others in unfamiliar places—Ukrainian teenagers isolated in Polish schools, families in Croatian refugee centers, children moved …

Photo © Sébastien Delarque

Eric Schmidt’s San Francisco Consensus about the impact of artificial intelligence

Reda SadkiArtificial intelligence

“We are at the beginning of a new epoch,” Eric Schmidt declared at the RAISE Summit in Paris on 9 July 2025. The former Google CEO’s message grounded in what he calls the San Francisco Consensus carries unusual weight—not necessarily because of his past role leading one of tech’s giants, but because of his current one: advising heads of state and industry on artificial intelligence. “When I talk to governments, what I tell them is, one, ChatGPT is great, but that was two years ago. Everything’s changed again. You’re not prepared for it. And two, you better get organized around it—the good and the bad.” At the Paris summit, he shared what he calls the “San Francisco Consensus”—a convergence of belief among Silicon Valley’s leaders that within three to six years AI will fundamentally transform every aspect of human activity. Whether one views this timeline as realistic or delusional matters …

Why peer learning is critical to survive the Age of Artificial Intelligence

Why peer learning is critical to survive the Age of Artificial Intelligence

Reda SadkiArtificial intelligence, Global health

María, a pediatrician in Argentina, works with an AI diagnostic system that can identify rare diseases, suggest treatment protocols, and draft reports in perfect medical Spanish. But something crucial is missing. The AI provides brilliant medical insights, yet María struggles to translate them into action in her community. What is needed to realize the promise of the Age of Artificial Intelligence? Then she discovers the missing piece. Through a peer learning network—where health workers develop projects addressing real challenges, review each other’s work, and engage in facilitated dialogue—she connects with other health professionals across Latin America who are learning to work with AI as a collaborative partner. Together, they discover that AI becomes far more useful when combined with their understanding of local contexts, cultural practices, and community dynamics. This speculative scenario, based on current AI developments and existing peer learning successes, illuminates a crucial insight as we ascend into …

RAISE Language as AI’s universal interface What it means and why it matters-small

Language as AI’s universal interface: What it means and why it matters

Reda SadkiArtificial intelligence

Imagine if you could control every device, system, and process in the world simply by talking to it in plain English—or any language you speak. No special commands to memorize. No programming skills required. No technical manuals to study. Just explain what you want in your own words, and it happens. This is the transformation Eric Schmidt described when he spoke about language becoming the “universal interface” for artificial intelligence. To understand why this matters, we need to step back and see how radically this changes everything. The old way: A tower of Babel Today, interacting with technology requires learning its language, not the other way around. Consider what you need to know: Each system speaks its own language. Humans must constantly translate their intentions into forms machines can understand. This creates barriers everywhere: between people and technology, between different systems, and between those who have technical skills and those …

What does AI reasoning revolution mean for global health

What does AI reasoning mean for global health?

Reda SadkiArtificial intelligence, Global health

When epidemiologists investigate a disease outbreak, they do not just match symptoms to known pathogens. They work through complex chains of evidence, test hypotheses, reconsider assumptions when data does not fit, and sometimes completely change their approach based on new information. This deeply human process of systematic reasoning is what artificial intelligence systems are now learning to do. This capability represents a fundamental shift from AI that recognizes patterns to AI that can work through complex problems the way a skilled professional would. For those working in global health and education, understanding this transformation is essential. The difference between answering and reasoning To understand this revolution, consider how most AI works today versus how reasoning AI operates. Traditional AI excels at pattern recognition. Show it a chest X-ray, and it can identify pneumonia by matching patterns it learned from millions of examples. Ask it about disease symptoms, and it retrieves …

Agentic AI revolution and workforce development

The agentic AI revolution: what does it mean for workforce development?

Reda SadkiArtificial intelligence

Imagine hiring an assistant who never sleeps, never forgets, can work on a thousand tasks simultaneously, and communicates with you in your own language. Now imagine having not just one such assistant, but an entire team of them, each specialized in different areas, all coordinating seamlessly to achieve your goals. This is the “agentic AI revolution” —a transformation where AI systems become agents that can understand objectives, remember context, plan actions, and work together to complete complex tasks. It represents a shift from AI as a tool you use to AI as a workforce that you collaborate with. Understanding AI agents: More than chatbots When most people think of AI today, they think of ChatGPT or similar systems—you ask a question, you get an answer. That interaction ends, and the next time you return, you start fresh. These are powerful tools, but they are fundamentally reactive and limited to single …

The funding crisis solution hiding in plain sight

The funding crisis solution hiding in plain sight

Reda SadkiGlobal health

“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 demonstrating how to achieve seven times greater likelihood of improved health outcomes while cutting costs by 90 percent. The secret lies not in new technology or additional resources, but in something deceptively simple: health workers learning from and supporting each other. Nigeria: Two weeks to connect thousands, four weeks to change, and six weeks to outcomes On June 26, 2025, representatives from 153 global health and humanitarian organizations gathered for a closed-door briefing seeking proven solutions to implementation challenges they knew all too well. TGLF presented evidence from the Nigeria Immunization Agenda 2030 Collaborative that sounds almost …

When funding shrinks, impact must grow the economic case for peer learning networks-small

When funding shrinks, impact must grow: the economic case for peer learning networks

Reda SadkiGlobal health, The Geneva Learning Foundation

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 are examples of high-cost, low-volume activities that organizations may no longer be able to afford. Yet the need for learning, coordination, and adaptive capacity has never been greater. The opportunity cost of inaction Organizations that fail to adapt face systematic disadvantage. Traditional approaches cannot survive current funding constraints while maintaining effectiveness. Meanwhile, global challenges intensify: climate change drives new disease patterns; conflict disrupts health systems; demographic transitions strain capacity. These complex, interconnected challenges require adaptive systems that respond at the speed and scale of emerging threats. Organizations continuing expensive, ineffective approaches will face programmatic obsolescence. …