Sustainability Data Science Conference

Event Details:

Friday, April 17, 2026
9:00am - 2:30pm PDT

Location

Simonyi Conference Center, CoDa, 389 Jane Stanford Way, Stanford, CA 94305
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This event is open to:

Faculty/Staff
Postdocs
Students
Register to Attend

Please note: Attendance is limited to Stanford affiliates only. 

Please email datascience@stanford.edu to receive the registration passcode. We kindly ask that you register using your Stanford email. 

Hosted by Stanford Data Science and the Stanford Doerr School of Sustainability, the fourth Sustainability Data Science Conference (April 17) 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 and AI.

Agenda

TimeSession TitleSpeaker(s)
9:00 – 9:30 AMRegistration & Breakfast 
9:30 – 9:40 AMOpening RemarksDavid Lobell
9:40 – 10:40 AMSession 1: Remote Sensing & Large-Scale Modeling 
 Smoke on the Water: Wildfire Impact on Cyanobacterial Bloom ProliferationTeso Coker
 Towards Precision Environmental Health: Estimating Individual Air Pollution Exposure with AIZiv Lautman
 Governing Generative Landscape Design: Spatial AI and Indigenous Protocols for Heritage Reconstruction in Morocco’s High AtlasHamza Woodson
 The Child Health Burden of Stagnant WaterSteve Berggreen
 The Urban Infill Paradox: Integrating Community, Code, and CarbonEunice Jung
 Agent-Based Modeling of Food Market Dynamics Under Climate Variability in KarnatakaAarabhi Achanta
10:40 – 10:45 AMHow the SDSS Center for Computation Can Support Your Data Science ResearchEllianna Abrahams, Brian Chivers
10:45 – 11:00 AMBreak 
11:00 AM – 12:00 PMSession 2: Machine Learning & Energy Systems 
 On the Adversarial Robustness of Hydrological ModelsJoseph Janssen
 Adaptive energy planning unlocks diverse decarbonization pathways and mitigates lock in risksMofan Zhang
 3D Scene Reconstruction and Plant Segmentation using Density Based Clustering and Gaussian SplattingRudraksh Mohapatra
 Probing the Mechanistic Understanding of an AI Foundation Model Fine-tuned for Air Quality ForecastingJason Hu
 Transfer Learning for Battery State-of-Health Estimation via Electrochemical Impedance SpectroscopySai Thatipamula
 A New Intelligence Layer for LFP Batteries: Reliable State of Charge Estimation for Optimal Energy DispatchAndrea Lanubile
12:00 – 1:00 PMLunch  
1:00 – 2:10 PMSession 3: Statistics, Causal Inference & LLMs 
 Rice methane emission prediction using minimal empirical samplingZhenglin Zhang
 Tropical Cyclone Intensity Drives Nonlinear Increases in Dengue BurdenEmma Krasovich Southworth
 Corporate Carbon Accountability: Searching for Credible Signals in Public/Private ReportsAldis Elfarsdottir
 Climate attribution in local news coverage of natural hazardsEkaterina Landgren
 The socio-economic impacts of sand mining in IndiaSuraj R Nair
 Can the past predict the future? Climate risks, sovereign debt, and a data driven "storylines" approachJune Choi
 The Hidden Energy Costs Of "Set It and Forget It" Parameters In Heating, Ventilation, and Air Conditioning OperationsRebecca Grekin
2:10 – 2:20 PMClosing Remarks 

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