Episode Details

Impact Signals #98: Gujarat Flags 167,000 At-Risk Students, Ahmedabad's AI Command Centre Counts Lives, WHO's Climate-Migration Health Agenda Gujarat's Education Department, working with Wadhwani AI and UNICEF India, is using an AI early-warning system inside the state's own school census to flag students likely to drop out, 167,000 in its first year and another 118,000 for 2026-27. In Ahmedabad, Marengo CIMS Hospital published a two-and-a-half-year tally from its 24/7 AI monitoring command centre: 836 deteriorations caught early and 115 code blue emergencies avoided across 6,551 high-risk patients. And the World Health Organization released its first global research agenda on health, migration and climate change, the document funders will cite when they decide which studies at that intersection get money. Today's signal: AI is moving into the institutions that already hold the data (a school census, a cardiac ward, a health system's follow-up calls), and the results are being counted in students kept and emergencies avoided, not in demos. --- Top Stories **1. Gujarat's Dropout Early-Warning System Flags 167,000 At-Risk Students Before They Disappear** Gujarat's Education Department, with Wadhwani AI and UNICEF India, has built an AI early-warning system into the state's existing Child Tracking System that predicts which primary-school students (Classes 1 to 8) are likely to drop out, using data the state already collects: attendance, assessment scores, age, gender, disabili…