Data for Sustainability Conference 2023
Data for Sustainability Conference (D4SC)
Date: April 14, 2023
Location: Stanford University, Gates 403B (Fujitsu Lounge)
The earth is facing numerous environmental sustainability issues that require urgent action. Meanwhile, the earth's environment is constantly monitored and simulated, generating tons of data across various scales. Utilizing those data can assist decision-making to preserve our planet's future.
Stanford Data Science is planning a half-day conference focusing on using data to resolve sustainability issues and gather the Data Science and Sustainability communities together on campus.
Congratulations on winners of speaker awards
- Best Student Presentation Awards: Emma Krasovich Southworth (1st place) and Charlie Marx (2nd place)
- Best Postdoc Presentation Awards: Camille Pagniello (1st place) and Zack Kaufman (2nd place)
Agenda
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Coffee and registration |
8:30 - 8:50 |
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Session 1 |
8:50 - 9:50 |
Moderated by David Lobell |
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Evan D. Sherwin |
Energy Science & Engineering |
Quantifying oil and natural gas system emissions using one million aerial site measurements |
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Zachary Kaufman |
Earth System Sciences |
A Data-Driven Approach to Climate Change Attribution: Inferring Causal Mechanisms in Observation-Based Time Series |
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Yougeng Lu |
Biology |
Estimating hourly PM2.5 concentrations at the neighborhood scale using a low-cost air sensor network: A Los Angeles case study |
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Michelle Ng |
Communication, E-IPER |
Characterizing “bottom-up” engagement with climate communication with mobile sensing |
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Mofan Zhang |
Civil and Environmental Engineering |
Targeting Adaptive Water Supply Planning under Uncertain Climate Oscillations |
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Session 2 |
10:00 - 10:50 |
Moderated by Emma Brunskill |
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Seogi Kang |
Geophysics |
Accelerating the Use of Public Geophysical Data for Recharging California’s Groundwater |
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Emma Krasovich Southworth |
E-IPER |
Managing National-Scale Water Pollution Requires Harmonized Water Quality Data |
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Camille Pagniello |
Oceans, Biology, Hopkins Marine Station |
Sharks as Oceanographers: Measuring Oceanographic Features from a Salmon Shark Instrumented with a CTD Tag |
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Paul Markley |
Biology |
Arctic Plant Range Shifts Since the Last Glacial Maximum to Today |
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Caroline Glidden |
Biology |
Compounding impacts of climate change and urbanization on human schistosomiasis exposure risk in Brazil |
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Session 3 |
11:00 - 12:00 |
Moderated by Kate Maher | |
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Charlie Marx |
Computer Science |
Time Series Forecasting for Sustainability with Uncertainty Guarantees |
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Tailin Wu |
Computer Science |
Learning Controllable Adaptive Simulation for Multi-resolution Physics |
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Ji Hun Wang |
Computer Science |
Weakly-semi-supervised object detection in remotely sensed imagery |
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Su Jiang |
Energy Science & Engineering |
Data-Space Inversion with deep-learning-based parameterization for geological carbon storage |
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Sarah Sausan |
Energy Science & Engineering |
Techno-Economic Optimization of Flexible Geothermal Power and Battery Storage Using Reinforcement Learning Algorithms |
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Ariana J Mann |
Electrical Engineering |
Power-Control for Sustainable Computing and ML |
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Lunch |
12:00 - 1:00 |
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