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DTSTART:20251026T030000
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UID:calendar.141761.field_date.0@www.tse-fr.eu
DTSTAMP:20260510T172732Z
CREATED:20260204T071001Z
DESCRIPTION:Amir Jina (University of  Chicago)\, “Human-Centered Forecastin
 g: an AI-led transformation of climate adaptation for smallholder farmers”
 \, Environmental Economics Seminar\, Toulouse: TSE\, March 16\, 2026\, 11:
 00–12:15\, room Auditorium 4.\n\nWe often take high-quality weather foreca
 sts for granted in high-income countries\, but much of the tropics still r
 elies on low-quality forecasts—for both scientific and economic reasons—de
 spite facing high climate risk. Striking recent advances in AI weather mod
 els—some outperforming the physics-based models that have formed the backb
 one of modern weather forecasting for 100 years—offer a path to transform 
 and democratize forecasting in low- and middle-income countries. This talk
  focuses on three connected research papers—an RCT on forecast disseminati
 on that explores the role played by farmer beliefs\; an agricultural decis
 ion-focused approach to benchmarking AI weather models\; and a decision th
 eory-driven creation of weather forecasts for farmers in India. Together t
 hese led to efforts to scale forecast dissemination with the Indian govern
 ment to 40 million farmers in 2025\, the largest targeted AI-based weather
  outreach to date. I will also discuss the ongoing research-based efforts 
 through AIM for Scale to expand reliable weather forecasting and delivery 
 to an additional 100 million farmers globally.
DTSTART;TZID=Europe/Paris:20260316T110000
DTEND;TZID=Europe/Paris:20260316T121500
LAST-MODIFIED:20260303T011001Z
LOCATION:Toulouse: TSE\, March 16\, 2026\, 11:00–12:15\, room Auditorium 4
SUMMARY:Environmental Economics Seminar
URL;TYPE=URI:https://www.tse-fr.eu/seminars/2026-human-centered-forecasting
 -ai-led-transformation-climate-adaptation-smallholder-farmers
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