Scaling USA-NPN Sampling Design using LLM Agents

This project, part of the Global AI Alliance for Climate Action, aims to improve how the USA National Phenology Network (USA-NPN) collects and balances seasonal plant and animal data. By using large language models (LLMs) and AI-driven workflows, the project will help guide citizen scientists toward underrepresented species and locations, addressing gaps in the current dataset. This will make USA-NPN’s data more complete and useful for tracking climate change impacts. For Vector Institute, this collaboration showcases AI’s role in solving real-world environmental challenges, reinforcing its leadership in responsible AI innovation.

Faculty Supervisor:

Graham Taylor

Student:

Partner:

Vector Institute

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Guelph

Program: