Scaling Community-Sensing and Recalling of Historical Climate Impact Data

field testing iKON game in colombia

Scaling Community-Sensing and Recalling of Historical Climate Impact Data

2025 YPS Grant Project

A major challenge in finding planetary solutions for climate change is engaging the marginalized communities who are most affected. One striking example is the hundreds of millions of smallholder farmers particularly vulnerable to climate hazards. They make up most of the 768 million people facing hunger, yet 95% of research is irrelevant to them, and few studies include their data or voices. 

Using iKON, a low-cost, scalable tool that harnesses SMS and gamification, this project redefines how climate impact data is generated, positioning smallholder farmers as active contributors to climate intelligence. These data will improve the accuracy of crop modeling, early warning systems, and climate risk tools. 

Beyond scaling and better articulating community and remote sensing sources, the project supports behavioral and institutional shifts, builds climate literacy among marginalized rural groups, and equips policymakers and researchers with more timely, community-informed insights to design local interventions. 

Field Testing the iKON Game in Colombia

Cauca is part of the new coffee axis in Colombia, along with other states in the South. Coffee moved to that region in part due to climate change and the opportunity to produce coffee at higher elevations. Cauca is a fascinating and equally complex state where an enormous natural and social diversity of indigenous, mestizo, and Afro-Colombian populations coexist with complex violence tension and climate risk.

During the “Día del Campesino,” hundreds of farmers engaged and played the iKON game to compare their knowledge and perceptions with data from remote sensing sources. 

Participants

  • J. Nicolas Hernandez-Aguilera

    Associate Research Scientist and Lecturer for the School of Enviroonment

  • Jennifer R. Marlon

    Senior Research Scientist, Lecturer, and Director of Data Science; Executive Director, Yale Center for Geospatial Solutions; Lecturer, Molecular, Cellular, and Developmental B