Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
Sustainability Data Science Conference | Stanford HAI

Stay Up To Date

Get the latest news, advances in research, policy work, and education program updates from HAI in your inbox weekly.

Sign Up For Latest News

Skip to content
  • About

    • About
    • People
    • Get Involved with HAI
    • Support HAI
    • Subscribe to Email
  • Research

    • Research
    • Research Programs
    • Grants
    • Marlowe (opens in new tab)
    • Student Affinity Groups
    • Centers & Labs
    • Research Publications
    • Research Partners
  • Education

    • Education
    • Executive and Professional Education
    • Government and Policymakers
    • K-12
    • Stanford Students
  • Policy

    • Policy
    • Policy Publications
    • Policymaker Education
    • Student Opportunities
  • AI Index

    • AI Index
    • AI Index Report
    • Global Vibrancy Tool
    • People
  • News
  • Events
  • Industry
  • Centers & Labs
Navigate
  • About
  • Events
  • AI Glossary
  • Careers
  • Search
Participate
  • Get Involved
  • Support HAI
  • Contact Us
Your browser does not support the video tag.
eventConference

Sustainability Data Science Conference

Status
Past
Date
Thursday, April 10, 2025 9:00 AM - 2:10 PM PST/PDT
Location
Simonyi Conference Center, CoDa, 389 Jane Stanford Way, Stanford, CA 94305
Attend Virtually
Share
Link copied to clipboard!
Event Contact
datascience@stanford.edu

Related Events

Confronting Our AI Future: Hope, Fear, and the Choices Ahead
ConferenceOct 28, 20269:00 AM - 6:45 PM
October
28
2026

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.

Conference

Confronting Our AI Future: Hope, Fear, and the Choices Ahead

Oct 28, 20269:00 AM - 6:45 PM

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.

Marlowe | AI + Data for Science with Dan Yamins
SeminarOct 28, 2026
October
28
2026

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.

Event

Marlowe | AI + Data for Science with Dan Yamins

Oct 28, 2026

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.

Olawale (Wale) Salaudeen | On Construct Validity in AI: The Scientific Work We Have Yet to Do
SeminarOct 30, 20261:00 PM - 2:15 PM
October
30
2026

An AI Measurement Science (AIMS) Seminar Series

Event

Olawale (Wale) Salaudeen | On Construct Validity in AI: The Scientific Work We Have Yet to Do

Oct 30, 20261:00 PM - 2:15 PM

An AI Measurement Science (AIMS) Seminar Series

NOTE: This event is open to Stanford affiliates only.

Join us for the third Sustainability Data Science Conference, hosted by Stanford Data Science and the Stanford Doerr School of Sustainability, on April 10, 2025! This event unites data and sustainability scientists to tackle pressing environmental challenges using innovative datasets, methods, and algorithms.

Students and postdocs will give 8–10-minute presentations, sharing novel datasets, data-driven analyses, or key research questions requiring data science. 

Agenda

TimeSession 
9:00 - 9:30 AMRegistration and Breakfast 
9:30 - 9:40 AMOpening Remarks 

9:40 - 10:40 AM

Session 1 
 Rajanie PrabhaDeepSolar-3M: An AI-Enabled Solar PV Database Documenting 3 Million Systems Across the US
 Alexandra DiGiacomoComputer vision techniques facilitate rapid insights into marine megafauna ecology
 Hikari MurayamaUsing untapped aerial photography archives to quantify historical forest cover changes in Africa
 Emma Krasovich SouthworthGreen Growth or Toxic Trade-Off? The health impacts of monoculture expansion in Costa Rica
 Ellianna AbrahamsA Concise Tiling Strategy for Preserving Spatial Context in Earth Observation Imagery
 Romain LacombeClimateX: Do LLMs Accurately Assess Human Expert Confidence in Climate Statements?
10:40 - 11:00 AMBreak 
11:00 AM - 12:10 PMSession 2 
 Nanzhe WangDeep Learning Framework for History Matching CO2 Storage with 4D Seismic and Monitoring Well Data
 Rebecca GrekinUniversity Campus District Energy Consumption Survey (UCDECS): drivers for heating and cooling needs in thirty North American Universities
 Aldís Elfarsdóttir and Chase HikidaCorporate carbon accountability
 Max LangtryHow much data do we need to plan decarbonizaton? Introducing Value of Information analysis
 Emily GordonIdentifying and predicting large-scale drivers of extreme summer warming
 Chloe ChengStorm-driven heat entrainment over the winter Southern Ocean sea ice zone
 Elena SierraKnow Where You (Don't) Grow: Contrastive Learning with ContextPair for Biodiversity Monitoring
12:10 - 1:00 PMLunch 
1:00 - 2:00 PMSession 3 
 Enrica ArchettiHow Much Sustainability is Really in Stock Prices?
 Siddharth SachdevaCausal Forest Cooling
 Wylie KauData driven design of polymer materials for critical mineral recovery from alternative feedstocks
 Frances ReulandNew Collection of Large-Scale Controlled Methane Releases for Satellite-Based Detection and Emission Quantification of Methane Point-Sources
 Yuchen LiOn the Design, Merits, and Limitations of Machine Learning Models for Seasonal Sea Ice Forecasting
 Paul DingusUsing satellite imagery to monitor remote rural economies at high frequency
2:00 - 2:10 PMClosing Remarks