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The SEED Method: An Evidence-Based Method for Engaging Communities

The SEED Method is a multi-stakeholder approach to engaging communities in research, problem solving, and action planning. Developed at Virginia Commonwealth University, SEED provides a framework for collaborative research and action planning that can be scaled up or down depending on project resources and goals.
Please attend my event! It'll be fun 🙂
I'm writing to invite you to a free two-hour IST (with online and in-person attendance options) on August 8 from 10 AM to 12 PM ET: "Introduction to Community Engagement for Technology Adoption"! All are welcome, from anywhere in the United States.
Purpose and Objectives:
1. To introduce Extension agents and community leaders to community engagement and opportunities associated with the multi-state, NSF-funded Internet of Things for Precision Agriculture (IoT4Ag) Center
2. To ideate a model of best practices (multi-way, stakeholder-centered engagement) for community engagement in regard to AI and precision agriculture
Agenda for Participants:
1st hour - overview of community engagement and the IoT4Ag center goals
2nd hour - help us plan future workshops on community engagement including but not exclusively for the IoT4Ag center
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About the Extension Foundation

The Extension Foundation was formed in 2006 by Extension Directors and Administrators. Today, the Foundation partners with Cooperative Extension through liaison roles and a formal plan of work with the Extension Committee on Organization and Policy (ECOP) to increase system capacity while providing programmatic services, and helping Extension programs scale and investigate new methods and models for implementing programs. The Foundation provides professional development to Cooperative Extension professionals and offers exclusive services to its members. In 2020 and 2021, the Extension Foundation has awarded 85% of its direct funding back to the Cooperative Extension System, 100% of funds are used to support Cooperative Extension initiatives. 

This technology is supported in part by New Technologies for Ag Extension (funding opportunity no. USDA-NIFA-OP-010186), grant no. 2023-41595-41325 from the USDA National Institute of Food and Agriculture. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the view of the U.S. Department of Agriculture or the Extension Foundation. For more information, please visit You can view the terms of useat

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