#127: Impact Signals #127 — Monday.com's Foundation Runs Quake-Zone Coordination, ETH Zurich Speeds Disaster Forecasting With NASA Data, Canada Bets $13M on National AI Literacy
AI for Impact Daily Briefing, September 12, 2026
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Monday.com's Philanthropic Foundation Became the Field Coordination Layer for the Venezuela and Colombia Earthquakes
Monday.com, the Israeli work-management software company, runs a philanthropic Emergency Response Team that deploys its own staff and its platform's AI tools into disaster zones. Twin earthquakes killed thousands in Venezuela in June 2026, and a magnitude-7.4 quake killed more than 300 people in Colombia on August 10, 2026. In both responses, the foundation's team used the company's work-management platform plus AI services to centralize survivor, needs, and resource information that normally arrives as scattered WhatsApp messages, emails, and paper notes from dozens of relief organizations, with days-long lags before it reaches a shared operating picture. Both governments accepted the assistance. Why it matters: The bottleneck this addresses, manual multi-channel data entry lagging by days during search-and-rescue, recurs across nearly every major disaster response, and the tool doing the job is off-the-shelf enterprise software rather than a bespoke humanitarian system. That makes it a template other commercial software companies could copy without building anything new.
ETH Zurich and the Swiss National Supercomputing Centre Moved 100 Petabytes of NASA Data Next to a Supercomputer to Make Disaster Forecasting Near-Instant
Thomas Schulthess (head of the Swiss National Supercomputing Centre, CSCS) and Reto Knutti (ETH Center for Climate Systems Modeling) have spent roughly a year copying about 100 petabytes, roughly six billion files, of NASA climate and Earth-observation data onto servers physically adjacent to the Alps supercomputer in Lugano, eliminating the transfer bottleneck that normally throttles AI weather and climate models. The team points to a concrete precedent: satellite data had flagged the Swiss village of Blatten as at-risk more than a year before its catastrophic glacier collapse, and close monitoring let authorities evacuate the village a week ahead of the collapse with no mass casualties. The stated goal for the new infrastructure is a global disaster-relevant forecast, covering landslides, glacier failures, and extreme weather, generated in about a minute. Why it matters: This is an infrastructure bet, not a finished product: the payoff is faster iteration for anyone building disaster-forecasting AI models against NASA's archive, not a new alert system available today. Blatten is the evidence that satellite monitoring plus modeling, acted on early, already works; the new system is aimed at making that approach fast enough to run globally instead of case by case.
Canada Puts CAD $13 Million Behind a Free National AI-Literacy Program Targeting a Million Students and 50,000 Teachers
Canada's Minister of Artificial Intelligence and Digital Innovation, Evan Solomon, launched the National AI Literacy Initiative with the Alberta Machine Intelligence Institute (Amii), backed by 13 million Canadian dollars in federal funding. The program has three free streams: "Essentials for Educators," whose first chapter opens September 21, 2026 for K-12 teachers, with five more chapters through the fall; a post-secondary student track; and short courses for workers and job seekers routed through Employment and Social Development Canada's Job Bank Training Finder. The government's stated reach targets are up to 1 million post-secondary students and more than 50,000 K-12 educators. Why it matters: This is public money committing to a specific, dated rollout, a named partner, a September 21 start date, a numeric reach target, rather than a general pledge to invest in AI skills. The worker and job-seeker stream routes through an existing public employment-services pipeline instead of standing up a new one, which is the detail that determines whether a literacy program reaches people outside universities.
Seattle's Fire Department Ran AI on Every 911 Medical Call for Two Years Before the City Council Found Out
Denmark-based Corti's AI has been listening to all Seattle 911 medical calls for more than two years, prompting dispatchers to route certain callers to a nurse-staffed call center in Texas instead of sending an ambulance, without public disclosure or formal review. Seattle City Councilmember Bob Kettle called Fire Department officials to a public safety committee meeting after reporting surfaced the program, and said he wants ambulance waits ordered through the nurse line tracked against time standards. The scrutiny follows the case of Pamela Hogan, who in 2022 waited more than 10 hours for an ambulance after being routed to the nurse line, never received care, and was later found dead in her apartment; her estate is now suing. Why it matters: This is the accountability side of the same AI-triage pattern that has worked elsewhere, including Maine's 911 center and Jonesboro's AI dispatcher: the technology can function, but two years of undisclosed AI call-routing alongside a documented bad outcome is the case for why disclosure and oversight need to ship alongside the tool, not surface only after a lawsuit.
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Active Disaster Monitoring (GDACS/OCHA)
- Nepal (Nepal-Tibet border floods):** Ongoing since early September 2026; Nepal's National Disaster Risk Reduction and Management Authority put the death toll at 1,385 as of September 11 (Chitwan 364, Nawalparasi East 228, Nawalparasi West 222, Nuwakot 199, Rasuwa 185, plus Gorkha, Dhading, Tanahun, Kathmandu), with 5,130 still reported missing and 13,676 rescued. 21,022 security personnel are mobilized (Nepal Army, Nepal Police, Armed Police Force); a temporary bridge at Devighat, Nuwakot, has been restored to improve relief access.
Sources: See individual stories above for full attribution.