- H51M: From Data to Decisions: Water-Energy-Food-Environment (WEFE) Nexus Modeling Under Changing Climate II Poster
-
NOLA CC
Primary Convener:Generic 'disconnected' Message
Mohsin Hafeez, International Water Management Institute
Convener:
Bassel Daher, Texas A&M University College Station
Afreen Siddiqi, Massachusetts Institute of Technology, and Harvard Kennedy School
Alok Sikka, International Water Management Institute
Naga Manohar Velpuri, International Water Management Institute (IWMI)
Chair:
Mohsin Hafeez, International Water Management Institute
Afreen Siddiqi, Massachusetts Institute of Technology, and Harvard Kennedy School
Alok Sikka, International Water Management Institute
Bassel Daher, Texas A&M University College Station
Transforming data into actionable insights is crucial for building resilient and sustainable water, energy, food, and environmental systems. However, the accelerating impacts of climate change are reshaping the dynamics of WEFE systems, intensifying resource interdependencies, and challenging conventional resource planning approaches. To navigate this complexity, decision-makers increasingly need integrated modeling frameworks that reflect cross-sectoral linkages and support data-driven decisions and policy formulation. This session will explore how cutting-edge technologies—such as earth observation, data analytics, artificial intelligence, and integrated modeling—are being leveraged to monitor, predict, and manage WEFE systems for a water and food secure world under a changing climate. It aims to unite researchers, policymakers, and practitioners working to operationalize nexus thinking through quantitative tools and cross-sectoral collaboration for a sustainable agri-food system.
Index Terms
1807 Climate impacts
1847 Modeling
1855 Remote sensing
1878 Water|energy interactions
Cross-Listed:
IN - Informatics
B - Biogeosciences
EP - Earth and Planetary Surface Processes
GC - Global Environmental Change
Suggested Itineraries:
Climate Change and Global Policy
Machine Learning and AI
Open Science and Open Data
Neighborhoods:
3. Earth Covering
Scientific DisciplineSuggested ItinerariesNeighborhoodType
Enter Note
Go to previous page in this tab
Session


