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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.
A eureka moment is a two-step process: discovering something new and surprising, and establishing that it is correct. Drawing on her work at Axiom, Carina will discuss the transition from solving mathematical benchmarks to contributing to research, and from proving individual theorems to formalizing mathematical theories in Lean.
A eureka moment is a two-step process: discovering something new and surprising, and establishing that it is correct. Drawing on her work at Axiom, Carina will discuss the transition from solving mathematical benchmarks to contributing to research, and from proving individual theorems to formalizing mathematical theories in Lean.
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.
| Time | Session | |
|---|---|---|
| 9:00 - 9:30 AM | Registration and Breakfast | |
| 9:30 - 9:40 AM | Opening Remarks | |
9:40 - 10:40 AM | Session 1 | |
| Rajanie Prabha | DeepSolar-3M: An AI-Enabled Solar PV Database Documenting 3 Million Systems Across the US | |
| Alexandra DiGiacomo | Computer vision techniques facilitate rapid insights into marine megafauna ecology | |
| Hikari Murayama | Using untapped aerial photography archives to quantify historical forest cover changes in Africa | |
| Emma Krasovich Southworth | Green Growth or Toxic Trade-Off? The health impacts of monoculture expansion in Costa Rica | |
| Ellianna Abrahams | A Concise Tiling Strategy for Preserving Spatial Context in Earth Observation Imagery | |
| Romain Lacombe | ClimateX: Do LLMs Accurately Assess Human Expert Confidence in Climate Statements? | |
| 10:40 - 11:00 AM | Break | |
| 11:00 AM - 12:10 PM | Session 2 | |
| Nanzhe Wang | Deep Learning Framework for History Matching CO2 Storage with 4D Seismic and Monitoring Well Data | |
| Rebecca Grekin | University Campus District Energy Consumption Survey (UCDECS): drivers for heating and cooling needs in thirty North American Universities | |
| Aldís Elfarsdóttir and Chase Hikida | Corporate carbon accountability | |
| Max Langtry | How much data do we need to plan decarbonizaton? Introducing Value of Information analysis | |
| Emily Gordon | Identifying and predicting large-scale drivers of extreme summer warming | |
| Chloe Cheng | Storm-driven heat entrainment over the winter Southern Ocean sea ice zone | |
| Elena Sierra | Know Where You (Don't) Grow: Contrastive Learning with ContextPair for Biodiversity Monitoring | |
| 12:10 - 1:00 PM | Lunch | |
| 1:00 - 2:00 PM | Session 3 | |
| Enrica Archetti | How Much Sustainability is Really in Stock Prices? | |
| Siddharth Sachdeva | Causal Forest Cooling | |
| Wylie Kau | Data driven design of polymer materials for critical mineral recovery from alternative feedstocks | |
| Frances Reuland | New Collection of Large-Scale Controlled Methane Releases for Satellite-Based Detection and Emission Quantification of Methane Point-Sources | |
| Yuchen Li | On the Design, Merits, and Limitations of Machine Learning Models for Seasonal Sea Ice Forecasting | |
| Paul Dingus | Using satellite imagery to monitor remote rural economies at high frequency | |
| 2:00 - 2:10 PM | Closing Remarks |