Master's Project Directory

Overview of MEDS Capstone projects Overview of MESM Group projects

Assessing Environmental Justice Implications of US Food Production

Harmonizing the NCEAS global footprint of food systems data with human welfare data to analyze patterns of environmental inequities in livestock, crop, aquaculture, and fishery production in the US.

Group Members: Connor Flynn, Mia Forsline, Scout Leonard, Alex Yousefivand (Vand)

Faculty Advisors: Ben Halpern

Clients: National Center for Ecological Analysis and Synthesis (NCEAS)

Improving Usability of Snow Data Through Web Based Visualizations and Tutorials

Expanding the Snow Today website's spatial domain coverage from the Western United States to all of North America, Greenland, and High Mountain Asia.

Group Members: Ryan Munnikhuis, Julia Parish, Marie Rivers

Faculty Advisors: Samantha Stevenson

Clients: UCSB Earth Research Institute

Visualizing Spatial and Temporal Patterns of Coral Reef Stressors Surrounding Moorea, French Polynesia

Determining how coral reef communities have changed due to anthropogenic and environmental stressors.

Group Members: Ingrid (Allie) Cole, Felicia Cruz, Jake Eisaguirre, Charles Hendrickson

Clients: Moorea Coral Reef Long-Term Ecological Research (National Science Foundation), UCSB Marine Science Institute

Tent perched on cliff overlooking national park

Visualizing Visitor Use Trends at California Campsites to Explore Equitable Access

Producing an interactive web platform that allows National Park managers to easily explore and visualize park-specific patterns such as visitation volume, demand, visitors’ origin, and more.

Group Members: Clarissa Boyajian

Faculty Advisors: Frank Davis

Clients: National Center for Ecological Analysis and Synthesis (NCEAS), University of Montana

Understanding US Wind and Solar Energy Siting

Identifying the historic drivers of wind and solar power plant siting, and generating a predictive model for future siting using machine learning.

Group Members: Paloma Cartwright, Joseph (Joe) DeCesaro, Daniel Kerstan, Desik Somasundaram

Faculty Advisors: Ranjit Deshmukh

Clients: UCSB Environmental Science Department

A Reproducible Machine Learning Approach for Interpreting Ecohydrologic Model Outputs

Developing a machine learning algorithm designed to interpret RHESSys output and extract insights into possible impacts of climate change on forest health.

Group Members: Alex Clippinger, Wylie Hampson, Shale Hunter, Peter Menzies

Faculty Advisors: Christina Tague

Clients: UCSB Bren School

An Open-source Pipeline for Remote Sensing of Crop Yields: a Zambia Case Study

Using the MOSAIKS machine learning approach to make fine-resolution agricultural crop yield predictions over time across all of sub-Saharan Africa.

Group Members: Steven Cognac, Juliet Cohen, Grace Lewin, Cullen Molitor

Clients: UCSB Bren School

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