Achieving food security in a changing climate requires integrating diverse data sources, models, and stakeholder knowledge. This session will explore recent advances that leverage data integration, stochastic techniques, citizen science, and system interoperability to enhance food security assessments and responses. Topics include the fusion of remote sensing, agricultural, socio-economic data, and probabilistic modeling for food production or household food security monitoring and forecasting. Approaches through Google Earth Engine, citizen science, and interoperable platforms for real-time decision support are particularly invited to submit to this session. We also invite contributions that address technological, methodological, and policy innovations linking data and society, with an emphasis on interdisciplinary frameworks that improve the speed, reliability, and equity of food security interventions. Case studies at local, regional, and global scales are welcome.

• GC - Global Environmental Change
• H - Hydrology