@misc{Gordon2022,
       author = "Gordon, Jeremy",
       title =  {{Cross-Sectoral Climate Change Modeling}},
       howpublished = "\url{https://ir.hamilton.edu/do/feab2766-8179-495d-9326-7a68f235f5aa}",
       institution = {Hamilton College},
       year = 2022,
       month = apr,
       school = {Mathematics},
}

Creator

Date

April 1st, 2022

Description

Although climate data originates from various integrated sectors, it continues to be evaluated in isolation. By using cross-sectoral modeling, climate change modeling can more effectively represent data, and the possible consequences of misjudging future models.

Type of Work

• Poster

Institution

Hamilton College

Area of Study

• Mathematics

Course

• MATH-498: Mathematics in Social Context

Part of Collection

General Scholarship

Rights Statement

The copyright for this work is held by its creators and Hamilton College. More information