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| Created: | Jan 23, 2025 at 8:15 p.m. (UTC) | |
| Last updated: | Feb 18, 2026 at 3:37 a.m. (UTC) | |
| Citation: | See how to cite this resource | |
| Content types: | CSV Content |
| Sharing Status: | Public |
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Abstract
The research utilizes the SD6-CI model, an extension of the original SD6 model using an agent-based model framework of PyCHAMP, to simulate decision-making processes under different policy scenarios, including the effects of LEMA restrictions and crop insurance coverage.
The SD6-CI model was developed using the PyCHAMP v1.0 (Lin et al., 2024), which is freely available on GitHub (https://github.com/philip928lin/PyCHAMP) The repository includes the user manual, and all data utilized in this study.
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Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| Foundation for Food and Agriculture Research | None | FF-NIA19-0000000084 |
| U.S. National Science Foundation | DISES: Toward resilient and adaptive community-driven management of groundwater dependent agricultural systems | RISE-2108196 |
| National Aeronautics and Space Administration | None | 80NSSC22K1276 |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
| Name | Organization | Address | Phone | Author Identifiers |
|---|---|---|---|---|
| Maria Elena Orduña Alegría | Oregon State University | |||
| Jisang Yu | Kansas State University |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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