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Sustainability Data Science Conference

Event Details:

Friday, April 5, 2024
9:00am - 2:00pm PDT


353 Serra Mall, Gates Computer Science, 403 (Fujitsu) conference room, Stanford, CA 94305

This event is open to:


Stanford Data Science is planning a conference, bringing together Data Science and Sustainability communities to resolve sustainability challenges. Our planet is under continuous observation and simulation, producing an immense volume of data across multiple scales. Effectively utilizing this wealth of information is key to making informed decisions that will shape the future of our planet.


9:00 - 9:30
Registration and Breakfast 
9:30 - 9:40
Opening Remarks 
9:40 - 10:40
Session 1 
Mohammad AljubranThermal Earth Model for the Continental United States Using an Interpolative Physics-Informed Graph Neural Network (InterPIGNN)
Dapeng FengUnifying deep learning and physical models for large-scale water modeling and geoscientific knowledge discovery
Jaehong ChungGenerating Multiphase Fluid Configurations in Fractures using Diffusion Models
Catherine SpurinPore-scale fluid dynamics resolved in pressure fluctuations at the Darcy scale
Zhenlin ChenUsing A LLM Framework for Extracting Critical Oil and Gas Field Data from Literature
Xueying YuQuantify the global methane budget based on satellite measurements
10:40 - 11:00
Break: Snacks & Refreshments 
11:00 - 12:00
Session 2 
Aldis ElfarsdottirStrategic non-disclosure: incentives for stopping voluntary reporting when toxic emissions rise
Anna LukkarinenInvestor Reactions to Firm Sustainability: Evidence from a Randomized Field Experiment
Sai ThatipamulaOn-Board Diagnostics for Li-ion Batteries Using Electrochemical Impedance Spectroscopy (EIS)-based Health Estimation Models
Minkyung HanMachine Learning Study of Metastable Perovskites under Pressure and Strain
Fletcher ChapinMulti-objective optimization of energy costs and emissions at wastewater resource recovery facilities
Oskar TriebeTowards Accurate Load Forecasting for Sustainable Power Grids
12:00 - 1:00
1:00 - 1:50
Session 3 
Janina TroperElucidating Large Scale Density-Driven Pollination Dynamics in Delphinium barbeyi through Remote Sensing
Andy Viet HuynhContrastive ground-level image and remote sensing pre-training improves representation learning for natural world imagery
Maurice GoodmanEcological impacts of climate-driven species range shifts: Inference from multiple methods in the Bering Sea
Kaitlyn MitchellMulti-dimensional drivers of schistosomiasis transmission after reintroduction of a native predator
Shi ChenChina's long-term data demonstrates synergies between cleaner air and solar energy
1:50 - 2:00
Closing Remarks 

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