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The rapid acceleration of AI comes with a profound wave of anxiety. Across every sector of society, people are facing unsettling questions about their worth and their place in a shifting world.

The rapid acceleration of AI comes with a profound wave of anxiety. Across every sector of society, people are facing unsettling questions about their worth and their place in a shifting world.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.

Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
An AI Measurement Science (AIMS) Seminar Series

An AI Measurement Science (AIMS) Seminar Series
We're pleased to invite you to the 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. Please register here!
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.
Event details:
Date: January 22, 2026
Time: 12:00 - 1:30 pm
Location: E365 Conference Room, CoDa Building
Lunch provided!