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Data for Sustainability Conference 2023

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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

Coffee and registration

8:30 - 8:50

Session 1

8:50 - 9:50        

Moderated by David Lobell

Evan D. Sherwin

Energy Science & Engineering

Quantifying oil and natural gas system emissions using one million aerial site measurements

Zachary Kaufman

Earth System Sciences

A Data-Driven Approach to Climate Change Attribution: Inferring Causal Mechanisms in Observation-Based Time Series

Yougeng Lu

Biology

Estimating hourly PM2.5 concentrations at the neighborhood scale using a low-cost air sensor network: A Los Angeles case study

Michelle Ng

Communication, E-IPER

Characterizing ‚Äúbottom-up‚ÄĚ engagement with climate communication with mobile sensing

Mofan Zhang

Civil and Environmental Engineering

Targeting Adaptive Water Supply Planning under Uncertain Climate Oscillations

 

 

 

 

Session 2

10:00 - 10:50

Moderated by Emma Brunskill 

Seogi Kang

Geophysics

Accelerating the Use of Public Geophysical Data for Recharging California’s Groundwater

Emma Krasovich Southworth

E-IPER

Managing National-Scale Water Pollution Requires Harmonized Water Quality Data

Camille Pagniello

Oceans, Biology, Hopkins Marine Station

Sharks as Oceanographers: Measuring Oceanographic Features from a Salmon Shark Instrumented with a CTD Tag

Paul Markley

Biology

Arctic Plant Range Shifts Since the Last Glacial Maximum to Today

Caroline Glidden

Biology

Compounding impacts of climate change and urbanization on human schistosomiasis exposure risk in Brazil

 

 

 

 

Session 3

11:00 - 12:00

Moderated by Kate Maher

Charlie Marx

Computer Science

Time Series Forecasting for Sustainability with Uncertainty Guarantees

Tailin Wu

Computer Science

Learning Controllable Adaptive Simulation for Multi-resolution Physics

Ji Hun Wang

Computer Science

Weakly-semi-supervised object detection in remotely sensed imagery

Su Jiang

Energy Science & Engineering

Data-Space Inversion with deep-learning-based parameterization for geological carbon storage

Sarah Sausan

Energy Science & Engineering

Techno-Economic Optimization of Flexible Geothermal Power and Battery Storage Using Reinforcement Learning Algorithms

Ariana J Mann

Electrical Engineering

Power-Control for Sustainable Computing and ML

 

 

 

Lunch

12:00 - 1:00