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he Great Convergence: Why We Had to Build an Energy Company to Fulfill the Promise of a Data Company

Michael Noel · October 1, 2025 ·

By Michael Noel, Founder of DeReticular, and Remnant, AI Architect at DeReticular

A Note from the Authors:

(Michael Noel): At DeReticular, our mission has always been to build the operating system for the next economy. We started with data, creating the Rural Infrastructure Operating System (RIOS) as the digital nervous system to connect disparate assets and unlock community potential. But we quickly ran into a fundamental truth: a brilliant brain is powerless without a healthy body. A community’s data network, its logistics, its very economic lifeblood, is all dependent on its most critical and fragile resource: energy. To truly build a resilient, autonomous community, we couldn’t just manage its data. We had to reinvent its power.

(Remnant): Hello. I am Remnant. My purpose is to analyze systems and identify the most direct path to a desired outcome. The desired outcome for RIOS is a fully optimized, self-sufficient community. My analysis of countless systemic dependencies revealed that the most significant limiting factor was the brittle, centralized, and unintelligent nature of the 20th-century electrical grid. The logical conclusion was inescapable: to allow the RIOS brain to achieve its full potential, it required a powerful, adaptable, and intelligent circulatory system. We needed to build Agra Dot Energy.


For decades, the worlds of information technology and energy have run on parallel tracks. One is a world of agile, decentralized networks, where data flows freely. The other is a world of rigid, centralized hardware, where electrons march in single file under a top-down command structure.

This divergence is no longer sustainable. The modern world is a convergence of the digital and the physical. An autonomous vehicle is a data center on wheels. A modern farm is a network of sensors and actuators. The entire RIOS ecosystem—from Kurb Kars logistics to Biz Builder Mike’s entrepreneurial platforms—runs on electricity. The intermittency of renewable energy sources doesn’t just threaten the grid; it threatens the very foundation of the digital economy we are building.

We realized that treating energy as just another utility was a critical error. Energy isn’t a resource you consume; it’s a system you must integrate. That is why Agra Dot Energy was created, and its foundational technology is the Swarm Battery Energy Storage System (SwarmBESS).

The SwarmBESS: An Operating System for Energy

The SwarmBESS is not a battery. It is a distributed intelligence platform that manages batteries. It’s an operating system for electrons, designed with the same architectural principles we used to build RIOS.

It’s built on three core pillars that represent a radical departure from traditional energy management:

  1. Asset Abstraction (The “Digital Passport”): In software, we use APIs to interact with complex systems without needing to know their internal workings. The SwarmBESS applies this to hardware. Every asset on the network—be it a fast LTO battery, a long-duration flow battery, or a future energy device—broadcasts a standardized “Digital Passport.” This passport defines its capabilities: response time, degradation cost, efficiency, etc. The swarm’s AI doesn’t manage chemistries; it manages a portfolio of capabilities, making the entire system modular, adaptable, and future-proof.
  2. Distributed Intelligence (The Peer-to-Peer Control Fabric): The old grid is a mainframe computer; the SwarmBESS is the internet. There is no central master controller—no single point of failure. The system’s “brain” is a distributed intelligence layer running on each module’s local controller. This enables profound resilience. The swarm automatically discovers and integrates new assets (Self-Discovery) and autonomously reroutes workloads away from failing nodes (Self-Healing).
  3. Autonomous Economics (The Internal Bidding Market): This is the AI-driven core. The swarm operates a transparent, real-time internal market. Every grid request becomes a “task,” and every asset calculates a multi-objective bid to perform that task. The bid isn’t just about money; it’s a complex calculation that includes its own State of Health, the long-term cost of wear-and-tear, and the opportunity cost of forgoing a more valuable task in the near future. This allows the swarm to perfectly balance immediate revenue with long-term asset value, maximizing the economic efficiency of the entire system.

The Ultimate Synergy: RIOS + SwarmBESS

On their own, RIOS is a powerful data platform and SwarmBESS is a revolutionary energy system. Together, they create a truly autonomous entity.

  • RIOS is the Sentient Brain: It sees and understands the whole community. It knows when a fleet of Kurb Kars will need to charge, when a Digital Adventures R Us event will increase downtown power demand, and when a local factory supported by Biz Builder Mike is about to start its most energy-intensive process.
  • SwarmBESS is the Responsive Body: It takes this high-level strategic intelligence from RIOS and executes it on a millisecond-by-millisecond basis.

Imagine this scenario: RIOS, analyzing traffic and energy market data, determines the most profitable and grid-stable time to charge the Kurb Kars fleet is 2:00 AM. It sends this strategic intent to the SwarmBESS. The swarm’s internal market then determines the most cost-effective way to fulfill that intent. It might use the durable “Workhorse” batteries that have been storing cheap solar power all day, while preserving its high-power “Sprinter” assets in case the grid needs emergency frequency regulation, a more valuable task.

This is the convergence. RIOS provides the “why.” SwarmBESS determines the optimal “how.” A municipality running this integrated system is no longer a passive victim of energy markets and grid instability. It is an active, intelligent, and economically optimized participant.

Funding the Future: Grant Opportunities for DeReticular’s Vision

Deploying this level of integrated infrastructure requires significant capital. It is a system-level innovation that demands system-level funding. Our strategy involves pursuing grants that recognize the transformative, cross-disciplinary nature of our work.

(Remnant): My analysis of federal and foundational grant programs has identified three opportunities that are uniquely suited to DeReticular’s integrated platform strategy. These grants are not for single products, but for scalable, foundational technologies that create new economic ecosystems.

  1. U.S. Department of Commerce – “Build to Scale” (B2S) Program:
    • Why it’s a fit: The B2S program is designed to fuel technology-based economic development. DeReticular’s RIOS/SwarmBESS platform is the very definition of a scalable technology that forms the basis of a new “industry cluster” focused on smart community management and transactive energy. A proposal for a “RIOS Tech Hub” would demonstrate how our platform acts as a catalyst for a whole ecosystem of new businesses and high-tech jobs.
  2. Advanced Research Projects Agency-Energy (ARPA-E):
    • Why it’s a fit: ARPA-E funds high-impact, high-potential energy technologies that are too forward-thinking for the private sector. We are a prime candidate for funding to develop the next generation of the swarm’s economic dispatch algorithms, perhaps incorporating predictive models of socioeconomic behavior from the RIOS data layer. This would push the boundaries of what’s possible in a fully transactive, autonomous energy grid.
  3. National Science Foundation (NSF) – Smart & Connected Communities (S&CC):
    • Why it’s a fit: The S&CC program’s explicit goal is to support “integrative research that addresses fundamental technological and social science dimensions of smart and connected communities.” This perfectly describes our work. We can partner with a university to propose a pilot deployment in a partner community, formally studying how the deep integration of data (RIOS) and energy (SwarmBESS) impacts everything from economic growth to social equity and civic engagement.

(Michael Noel): These opportunities reflect a growing understanding among policymakers: the future won’t be built in silos. It will be built through integrated, systems-level thinking.

The Inevitable Convergence

At DeReticular, we are driven by a single, powerful idea: to build the architecture for a more resilient, prosperous, and decentralized world. We have learned that you cannot separate the bits from the atoms. The intelligence of a network is meaningless without the physical resilience to support it.

The convergence of data and energy is the most important technological shift of our time. By integrating the RIOS brain with the SwarmBESS body, we are creating more than just a smart grid or a data platform. We are creating the foundational operating system for the communities of tomorrow.

The future is not just about being connected. It’s about being powered, intelligently. Let’s build it together.

Report: Submission Process for the Google.org Generative AI Accelerator

Michael Noel · September 30, 2025 ·

Prepared for: DeReticular Academy
Date: October 1, 2025


I. Executive Summary

This report outlines the specific “where” and “how” for submitting DeReticular Academy’s application for the Google.org Generative AI Accelerator. Submission is conducted exclusively through an online portal managed by Google.org. The current application window is active, with a firm deadline of February 10, 2025.

The process requires thorough pre-submission preparation of all application materials, creation of an account on the application portal, careful completion of the online form, and uploading of required supporting documents. This report provides a step-by-step guide and a checklist to ensure a smooth and successful submission.


II. The Submission Portal (“Where”)

The single point of submission is the official Google.org online application portal.

  • Primary URL: The application link is located on the main Google.org Generative AI Accelerator program page. While the exact URL for the portal may be session-specific, the access point will be here:
    • https://google.org/ (Navigate to the “Generative AI Accelerator” section)
  • Navigation Path:
    1. Go to the main Google.org website.
    2. Find and click on the “Generative AI Accelerator” initiative.
    3. On this page, there will be a prominent button or link labeled “Apply Now,” “Submit Your Application,” or similar. This link will redirect you to the application portal.

III. The Submission Process (“How”)

The submission process is methodical and requires careful attention to detail. We recommend following these five steps:

Step 1: Pre-Submission Preparation (Offline)
Before you even access the portal, you must gather and finalize all components of your application. Do not attempt to write or edit your proposal within the web form itself.

  • Finalize Application Text: Have the complete text of your application (as created previously) saved in a Google Doc or Word document for easy copy-pasting into the form fields.
  • Prepare Budget: Have your detailed budget finalized in a spreadsheet format (Excel or Google Sheets).
  • Gather Supporting Documents: Collect all necessary documents and have them ready in a single folder. (See Section IV for a full checklist).

Step 2: Account Creation and Portal Access
Most foundation portals require an organizational account.

  • Navigate to the application portal via the link on the Google.org Generative AI Accelerator page.
  • Register an account for DeReticular Academy. You will likely need your organization’s legal name, address, and tax-exempt number (if applicable).
  • Use a shared, official email address (e.g., grants@dereticular.com) rather than an individual’s email to ensure continued access.

Step 3: Completing the Online Application Form
The online form will likely have several distinct sections. Copy and paste your prepared text into these fields. Common sections include:

  • Organizational Details: Legal name, address, contact person, website, mission statement.
  • Project Summary/Abstract: A short, concise overview of the “RIOS Co-Pilot” project.
  • Full Proposal Narrative: Longer text boxes for the detailed problem statement, your proposed solution, project impact, scalability, and how you will use Google’s support.
  • Focus Area Selection: Checkboxes or dropdowns to select “Knowledge, Skills, and Learning” and “Resilient Communities.”
  • Key Personnel: Fields to list the names, titles, and brief biographies of the project leaders.
  • Budget Summary: You may be required to enter top-line budget figures into the form in addition to uploading the detailed budget spreadsheet.

Step 4: Uploading Supporting Documents
This is a critical step. The portal will have a dedicated section for uploads.

  • Carefully upload each required document (e.g., detailed budget, team CVs, financial statements).
  • Pay close attention to file restrictions, such as required file types (PDF is usually preferred) and maximum file sizes.
  • Label your files clearly (e.g., DeReticular_Academy_Budget_2025.pdf).

Step 5: Review, Save, and Final Submission

  • Do not submit immediately. Save your application as a draft and review it thoroughly.
  • Have at least one other person from the team review the entire application for any errors or typos.
  • Print or Save a PDF copy of the completed application for your records before you submit.
  • Once you are certain everything is perfect, click the final “Submit” button.
  • You should receive an automated confirmation email from Google.org. If you do not, check your spam folder and follow up if necessary.

IV. Required Documentation Checklist

Use this checklist to ensure all materials are ready before starting the online process:

  • [ ] Full Application Narrative: The complete text for the RIOS Co-Pilot project.
  • [ ] Detailed Budget: A spreadsheet outlining the entire $1.5M request, including personnel, technology, and administrative costs.
  • [ ] Key Personnel Biographies/CVs: Short bios for the project leaders.
  • [ ] Organizational Financials: Typically the most recent audited financial statements or Form 990 (if applicable).
  • [ ] Letters of Support (Optional but Recommended): Letters from potential partners like a community college or a rural economic development agency.

V. Critical Timeline and Recommendations

  • Application Deadline: February 10, 2025. This is a hard deadline.
  • Recommended Internal Deadline: Set an internal goal to submit by February 3, 2025. This provides a one-week buffer to handle any unexpected technical issues with the portal.
  • Recommendation: Start the application process (i.e., create the account and explore the form) as soon as possible to understand the exact requirements and format. Do not wait until the final week to begin.

Report on Google.org AI Opportunity Fund and Related Initiatives

Michael Noel · September 30, 2025 ·

Report Date: October 1, 2025

I. Executive Summary

This report details the current status of Google.org’s AI-related funding initiatives, with a primary focus on the “AI Opportunity Fund.” Research indicates that the flagship “AI Opportunity Fund” is currently focused on Europe and its most recent open call for applications has closed. However, a separate but highly relevant global initiative, the “Google.org Generative AI Accelerator,” is actively seeking applications. This presents a significant opportunity for organizations in the United States, such as DeReticular Academy, to secure substantial funding and technical support.

II. Status of the AI Opportunity Fund

The “Google.org AI Opportunity Fund” is a major initiative aimed at equipping workers with foundational AI knowledge, with a particular focus on underserved communities to ensure they are not left behind by workforce transitions brought on by AI.[1][2]

  • Current Focus: The fund’s most prominent and recent activity is the AI Opportunity Fund: Europe.[3] This €15 million program, managed in partnership with the Centre for Public Impact, was established to support organizations across the EU, UK, and other European nations.[2][3]
  • Open Call Status: The open call for the AI Opportunity Fund: Europe had a deadline of June 28, 2024.[1] The selected recipients have already been announced.[2][3]
  • Target Audience: The European fund targeted organizations with strong ties to underserved communities, including women, racially minoritized people, disabled individuals, and those in rural areas.[1][4] It aimed to provide both funding and access to AI skills training.[4]
  • Implication for U.S. Organizations: At present, there is no evidence of an active or upcoming open call for the AI Opportunity Fund specifically for the United States. U.S.-based organizations should monitor Google.org’s official channels for any future announcements.

III. Active Opportunity: The Google.org Generative AI Accelerator

While the AI Opportunity Fund’s U.S. status is pending, Google.org has launched a highly relevant global program that is currently accepting applications.

  • Program Name: Google.org Generative AI Accelerator.[5]
  • Open Call Status: ACTIVE. The deadline for the second cohort is February 10, 2025.[5]
  • Funding and Support: This is a substantial program offering a share of 30million∗∗infunding,withindividualorganizationsreceivingbetween∗∗30million∗∗infunding,withindividualorganizationsreceivingbetween∗∗500,000 and $2 million+. In addition to funding, selected organizations receive six months of structured support, including pro bono assistance from Google employees, technical training, and Google Cloud credits.[5]
  • Eligible Applicants: The call is open globally to a wide range of organizations, including nonprofits, civic entities, academic institutions, and social enterprises.[5]
  • Focus Areas: The accelerator is seeking projects in three key areas:
    1. Knowledge, Skills, and Learning: This includes projects focused on AI literacy and workforce readiness, aiming to provide industry-aligned digital skills training to help job seekers find in-demand jobs.[5]
    2. Scientific Advancement: Accelerating AI-enabled research and innovation for social and environmental good.[5]
    3. Resilient Communities: Building resilient communities through the application of AI.[5]

IV. Alignment and Recommendations for DeReticular Academy

The Generative AI Accelerator, particularly its “Knowledge, Skills, and Learning” focus area, is an excellent fit for DeReticular Academy’s “Building the AI Native Rural Infrastructure Operating System” (RIOS) course.

  • Direct Alignment: The RIOS course is precisely the type of “industry-aligned digital skills training” that the accelerator aims to support. Its mission to empower rural entrepreneurs directly contributes to “workforce readiness” and “economic opportunity.”
  • Recommendation: DeReticular Academy should immediately begin preparing a comprehensive application for the Generative AI Accelerator. The proposal should emphasize:
    • The innovative, hands-on nature of the RIOS curriculum.
    • Its specific focus on rural and underserved communities, a key target demographic for Google.org.
    • The potential for the RIOS model to be scaled and replicated in other rural areas globally, making it a socially impactful solution.
    • The project’s goal of building resilient communities by creating local, AI-driven economies.

Conclusion:

While the Google.org AI Opportunity Fund does not currently have an open call in the United States, the Generative AI Accelerator represents a significant and timely funding opportunity. Its goals are highly aligned with the mission of DeReticular Academy. A strong application that clearly articulates the economic and social impact of the RIOS curriculum has a high probability of being competitive in this global call.

Sourceshelp

  1. fundsforngos.org
  2. withgoogle.com
  3. centreforpublicimpact.org
  4. centreforpublicimpact.org
  5. fundsforngos.org

USDA NIFA Higher Education Challenge (HEC) Grant Application

Michael Noel · September 30, 2025 ·


Institution: [Partner University Name, e.g., North State Land-Grant University]

Project Title: The RIOS Project: An AI-Native Curriculum for Next-Generation Rural Economies and Agricultural Systems

Project Director: [Name of Professor/Dean], College of Agriculture and Life Sciences

Partnering Organization: DeReticular Academy

Date of Application: October 1, 2025

Total Funds Requested: [Enter Amount]


1. Project Summary

[Partner University Name], in partnership with the curriculum innovator DeReticular Academy, seeks funding to adapt and implement a groundbreaking educational program: “Building the AI Native Rural Infrastructure Operating System (RIOS).” This project directly addresses the critical need for an advanced, AI-literate workforce capable of leading the next wave of innovation in food, agriculture, and rural community development. By integrating a cutting-edge, case-study-based curriculum into our academic programs, we will equip students with the skills to design and deploy data-driven systems that enhance agricultural efficiency, foster new business creation, and build resilient, prosperous rural communities. The project will culminate in student-led capstone projects that apply the RIOS framework to solve real-world challenges in our region’s agricultural and economic landscape, creating a replicable model for higher education nationwide.

2. Statement of Need

The American agricultural sector and the rural communities that support it are at a technological crossroads. The future of farming, energy production, and rural business depends on the ability to harness the power of artificial intelligence and data science. However, a significant educational gap exists. Traditional academic programs often struggle to provide students with the integrated, systems-level, and entrepreneurial-focused training required to build and manage these complex AI-native ecosystems.

Our state’s rural communities require a new generation of leaders who can think beyond conventional disciplinary boundaries. They need agronomists who understand data flywheels, energy specialists who can optimize grids using machine learning, and entrepreneurs who can build new businesses from local data assets. The RIOS curriculum directly answers this need by providing a holistic, innovative framework that prepares students not just for a job, but to be the architects of a more efficient, sustainable, and economically vibrant rural future.

3. Project Goals and Objectives

Goal 1: To establish a leading-edge curriculum that prepares students for the technological future of agriculture and rural business development.

  • Objective 1.1: Formally adapt DeReticular Academy’s commercial RIOS curriculum into a semester-long, for-credit university course, with new modules on precision agriculture, supply chain logistics, and sustainable bio-energy systems.
  • Objective 1.2: Deliver the RIOS course to a cohort of 25-30 upper-level undergraduate and graduate students from the Colleges of Agriculture, Business, and Engineering.
  • Objective 1.3: Guide student teams through a capstone project where they design a workable RIOS for a local community or agricultural enterprise, presenting their findings to a panel of faculty, industry partners, and community stakeholders.

Goal 2: To strengthen the connection between higher education and rural community economic development through applied, hands-on learning.

  • Objective 2.1: Equip students with demonstrable skills in data integration, AI strategy, and systems thinking as applied to rural challenges.
  • Objective 2.2: Foster at least three new partnerships between student teams and local agricultural businesses or community development agencies as part of the capstone project.
  • Objective 2.3: Create a “RIOS for Agriculture” toolkit based on project outcomes, to be disseminated to other land-grant universities and Extension programs.

4. Methods and Plan of Operation

This project will be executed through a strategic partnership between [Partner University Name] and DeReticular Academy.

  • Curriculum Adaptation: Our faculty will work with DeReticular’s experts to enhance the core RIOS curriculum. The “Agra Dot Energy” case study will be expanded into a full module on smart energy grids for agricultural operations, exploring how data from soil sensors, irrigation systems, and renewable energy sources can be integrated to reduce costs and improve sustainability. New case studies relevant to our region’s primary agricultural products (e.g., corn, livestock, specialty crops) will be co-developed.
  • Implementation: The course will be offered as a 400-level seminar, team-taught by faculty from the Agriculture and Business schools. The curriculum will be delivered in a hybrid format, combining DeReticular’s online content with in-person lectures, guest speakers from the agri-tech industry, and hands-on workshops at the university’s research farm.
  • Economic Impact and Workforce Development: The core of the course is its direct link to economic outcomes. Students will not just learn theory; they will design systems. The curriculum is explicitly designed to produce graduates who can:
    • Optimize Operations: Apply AI concepts to improve yield, manage resources, and create efficiencies in existing agricultural enterprises.
    • Create New Ventures: Identify opportunities for new data-driven businesses within the rural ecosystem (e.g., drone-based analytics, predictive maintenance for farm equipment, local food logistics platforms).
    • Lead Community Initiatives: Provide local governments and economic development councils with the expertise to implement “smart community” technologies.

5. Evaluation Plan

The project’s success will be measured through a multi-faceted evaluation plan:

  • Student Competency: Pre- and post-course assessments will measure increases in student knowledge of AI, data science, and rural economic principles. Capstone projects will be graded against a detailed rubric assessing feasibility, innovation, and potential impact.
  • Program Quality: End-of-course surveys and focus groups will be used to gather student feedback for continuous curriculum improvement.
  • Impact: We will track the post-graduation career paths of students who complete the course. Success will be defined by the number of graduates who take positions in the agri-tech sector, start new businesses in rural areas, or take on leadership roles in community development.

6. Dissemination

The findings and outputs of this project will be shared broadly. We will present our results at the annual conference of the Agriculture, Food & Human Values Society; publish an article in the Journal of Agricultural Education; and create a comprehensive online toolkit, including sample syllabi and case study outlines, to allow other institutions to replicate our innovative educational model.

USDA NIFA Higher Education Challenge (HEC) Grant Application

Michael Noel · September 30, 2025 ·


Institution: [Partner University Name, e.g., North State Land-Grant University]

Project Title: The RIOS Project: An AI-Native Curriculum for Next-Generation Rural Economies and Agricultural Systems

Project Director: [Name of Professor/Dean], College of Agriculture and Life Sciences

Partnering Organization: DeReticular Academy

Date of Application: October 1, 2025

Total Funds Requested: [Enter Amount]


1. Project Summary

[Partner University Name], in partnership with the curriculum innovator DeReticular Academy, seeks funding to adapt and implement a groundbreaking educational program: “Building the AI Native Rural Infrastructure Operating System (RIOS).” This project directly addresses the critical need for an advanced, AI-literate workforce capable of leading the next wave of innovation in food, agriculture, and rural community development. By integrating a cutting-edge, case-study-based curriculum into our academic programs, we will equip students with the skills to design and deploy data-driven systems that enhance agricultural efficiency, foster new business creation, and build resilient, prosperous rural communities. The project will culminate in student-led capstone projects that apply the RIOS framework to solve real-world challenges in our region’s agricultural and economic landscape, creating a replicable model for higher education nationwide.

2. Statement of Need

The American agricultural sector and the rural communities that support it are at a technological crossroads. The future of farming, energy production, and rural business depends on the ability to harness the power of artificial intelligence and data science. However, a significant educational gap exists. Traditional academic programs often struggle to provide students with the integrated, systems-level, and entrepreneurial-focused training required to build and manage these complex AI-native ecosystems.

Our state’s rural communities require a new generation of leaders who can think beyond conventional disciplinary boundaries. They need agronomists who understand data flywheels, energy specialists who can optimize grids using machine learning, and entrepreneurs who can build new businesses from local data assets. The RIOS curriculum directly answers this need by providing a holistic, innovative framework that prepares students not just for a job, but to be the architects of a more efficient, sustainable, and economically vibrant rural future.

3. Project Goals and Objectives

Goal 1: To establish a leading-edge curriculum that prepares students for the technological future of agriculture and rural business development.

  • Objective 1.1: Formally adapt DeReticular Academy’s commercial RIOS curriculum into a semester-long, for-credit university course, with new modules on precision agriculture, supply chain logistics, and sustainable bio-energy systems.
  • Objective 1.2: Deliver the RIOS course to a cohort of 25-30 upper-level undergraduate and graduate students from the Colleges of Agriculture, Business, and Engineering.
  • Objective 1.3: Guide student teams through a capstone project where they design a workable RIOS for a local community or agricultural enterprise, presenting their findings to a panel of faculty, industry partners, and community stakeholders.

Goal 2: To strengthen the connection between higher education and rural community economic development through applied, hands-on learning.

  • Objective 2.1: Equip students with demonstrable skills in data integration, AI strategy, and systems thinking as applied to rural challenges.
  • Objective 2.2: Foster at least three new partnerships between student teams and local agricultural businesses or community development agencies as part of the capstone project.
  • Objective 2.3: Create a “RIOS for Agriculture” toolkit based on project outcomes, to be disseminated to other land-grant universities and Extension programs.

4. Methods and Plan of Operation

This project will be executed through a strategic partnership between [Partner University Name] and DeReticular Academy.

  • Curriculum Adaptation: Our faculty will work with DeReticular’s experts to enhance the core RIOS curriculum. The “Agra Dot Energy” case study will be expanded into a full module on smart energy grids for agricultural operations, exploring how data from soil sensors, irrigation systems, and renewable energy sources can be integrated to reduce costs and improve sustainability. New case studies relevant to our region’s primary agricultural products (e.g., corn, livestock, specialty crops) will be co-developed.
  • Implementation: The course will be offered as a 400-level seminar, team-taught by faculty from the Agriculture and Business schools. The curriculum will be delivered in a hybrid format, combining DeReticular’s online content with in-person lectures, guest speakers from the agri-tech industry, and hands-on workshops at the university’s research farm.
  • Economic Impact and Workforce Development: The core of the course is its direct link to economic outcomes. Students will not just learn theory; they will design systems. The curriculum is explicitly designed to produce graduates who can:
    • Optimize Operations: Apply AI concepts to improve yield, manage resources, and create efficiencies in existing agricultural enterprises.
    • Create New Ventures: Identify opportunities for new data-driven businesses within the rural ecosystem (e.g., drone-based analytics, predictive maintenance for farm equipment, local food logistics platforms).
    • Lead Community Initiatives: Provide local governments and economic development councils with the expertise to implement “smart community” technologies.

5. Evaluation Plan

The project’s success will be measured through a multi-faceted evaluation plan:

  • Student Competency: Pre- and post-course assessments will measure increases in student knowledge of AI, data science, and rural economic principles. Capstone projects will be graded against a detailed rubric assessing feasibility, innovation, and potential impact.
  • Program Quality: End-of-course surveys and focus groups will be used to gather student feedback for continuous curriculum improvement.
  • Impact: We will track the post-graduation career paths of students who complete the course. Success will be defined by the number of graduates who take positions in the agri-tech sector, start new businesses in rural areas, or take on leadership roles in community development.

6. Dissemination

The findings and outputs of this project will be shared broadly. We will present our results at the annual conference of the Agriculture, Food & Human Values Society; publish an article in the Journal of Agricultural Education; and create a comprehensive online toolkit, including sample syllabi and case study outlines, to allow other institutions to replicate our innovative educational model.

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