Get the latest news, advances in research, policy work, and education program updates from HAI in your inbox weekly.
Sign Up For Latest News
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
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.
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 Aljubran | Thermal Earth Model for the Continental United States Using an Interpolative Physics-Informed Graph Neural Network (InterPIGNN) | |
| Dapeng Feng | Unifying deep learning and physical models for large-scale water modeling and geoscientific knowledge discovery | |
| Jaehong Chung | Generating Multiphase Fluid Configurations in Fractures using Diffusion Models | |
| Catherine Spurin | Pore-scale fluid dynamics resolved in pressure fluctuations at the Darcy scale | |
| Zhenlin Chen | Using A LLM Framework for Extracting Critical Oil and Gas Field Data from Literature | |
| Xueying Yu | Quantify the global methane budget based on satellite measurements | |
10:40 - 11:00 | Break: Snacks & Refreshments | |
11:00 - 12:00 | Session 2 | |
| Aldis Elfarsdottir | Strategic non-disclosure: incentives for stopping voluntary reporting when toxic emissions rise | |
| Anna Lukkarinen | Investor Reactions to Firm Sustainability: Evidence from a Randomized Field Experiment | |
| Sai Thatipamula | On-Board Diagnostics for Li-ion Batteries Using Electrochemical Impedance Spectroscopy (EIS)-based Health Estimation Models | |
| Minkyung Han | Machine Learning Study of Metastable Perovskites under Pressure and Strain | |
| Fletcher Chapin | Multi-objective optimization of energy costs and emissions at wastewater resource recovery facilities | |
| Oskar Triebe | Towards Accurate Load Forecasting for Sustainable Power Grids | |
12:00 - 1:00 | Lunch | |
1:00 - 1:50 | Session 3 | |
| Janina Troper | Elucidating Large Scale Density-Driven Pollination Dynamics in Delphinium barbeyi through Remote Sensing | |
| Andy Viet Huynh | Contrastive ground-level image and remote sensing pre-training improves representation learning for natural world imagery | |
| Maurice Goodman | Ecological impacts of climate-driven species range shifts: Inference from multiple methods in the Bering Sea | |
| Kaitlyn Mitchell | Multi-dimensional drivers of schistosomiasis transmission after reintroduction of a native predator | |
| Shi Chen | China's long-term data demonstrates synergies between cleaner air and solar energy | |
1:50 - 2:00 | Closing Remarks |
