Climate change and health: a new peer learning programme by and for health workers from the most climate-vulnerable countries

Reda SadkiGlobal health

GENEVA, Switzerland, 23 July 2025 (The Geneva Learning Foundation) –Today, The Geneva Learning Foundation (TGLF) announces the launch of “Learning to lead change on the frontline of climate change and health,” the inaugural course in a new certificate programme designed by and for professionals facing climate change impacts on health. Enrollment is now open. The course will launch on 11 August 2025. Two years ago today, nearly 5,000 health professionals from across the developing world gathered online for an unprecedented conversation. They shared something most climate scientists had never heard: detailed, firsthand accounts of how rising temperatures, extreme weather, and environmental changes were already devastating the health of their communities. The stories were urgent and specific. A nurse in Ghana described managing surges of malaria after unprecedented flooding. A community health worker in Bangladesh explained how cholera outbreaks followed every major storm. A pharmacist in Nigeria watched children suffer malnutrition …

WHO Global Conference on Climate and Health: New pathways to overcome structural barriers blocking effective climate and health action

Reda SadkiGlobal health

After the World Health Assembly’s adoption of ambitious global plan of action for climate and health, global and country stakeholders are meeting in Brasilia for the Global Conference on Climate and Health, ahead of COP30. Three critical observations emerged that illuminate why conventional global health approaches may be structurally inadequate for the challenges resulting from climate change impacts on health. These observations carry particular significance for global health leaders who now possess a WHA-approved strategy and action plan, but lack proven mechanisms for rapid, community-led implementation in the face of an unprecedented set of challenges. They also matter for major funders whose substantial investments in policy and research have yet to be matched by commensurate support for the communities and health workers who will be the ones to translate better science and policy into action. Signal 1: When funding disappears and demand explodes Seventy percent of global health funding vanished, …

NIGERIA insights report cover

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 …

20250717.PFA Accelerator article

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 …