Stanford Lunch & Learn: Data Fusion Methods for Sustainability Research

​The Stanford Sustainability Accelerator, the Center for Sustainability Data Science, and the Institute for Human-Centered Artificial Intelligence invite you to our inaugural data science for sustainability series event! This session is a Lunch & Learn on Data Fusion for Sustainability, an informal gathering to discuss methodologies for combining heterogeneous data sources and their applications to sustainability challenges.

​This session will cover:

• ​Current data fusion techniques and emerging approaches

• ​Case studies: remote sensing + ground truth validation, ML + physics-based models, multi-sensor integration

• ​Applications across climate, energy, agriculture, and conservation research

• ​Opportunities for cross-disciplinary collaboration

​Why this matters: Many of us work with incomplete datasets or face challenges in model validation. This session will explore how data fusion approaches are addressing these gaps and may offer relevant methods for your own research.

​📅 Jan 22, 2026

​🕛 12 - 1:30 pm

​📍 Press Building, 425 Santa Teresa St

​🍽️ Lunch provided!