Master's Project Directory

This project harnesses high-resolution satellite data to uncover the greenhouse gas emissions of global fisheries, a major yet understudied contributor to climate change. By building an open-source data pipeline and interactive dashboard, it provides actionable insights for research, policy, and market-based strategies to reduce emissions at scale.

This project analyzed the willingness of small-scale fisheries to participate in a vessel tracking program that is incentive-compatible to their preferences. The team conducted a dual response choice experiment to evaluate fisheries' preference data from surveys conducted in Indonesia and Mexico, then utilized a contingent valuation to gauge both fishers’ willingness to pay for a tracking program and the effects of fishers’ characteristics on their willingness to pay.

Pathway to Self-Funding: A Case Study on the California Commercial Spiny Lobster Fishery

Reducing Greenhouse Gas Emissions with Hybrid-Electric Vehicles: An Environmental and Economics Analysis