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4_CWU Tech Transfer Agenda 20260519
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4_CWU Tech Transfer Agenda 20260519
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5/14/2026 12:04:51 PM
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5/14/2026 12:03:42 PM
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Meeting
Date
5/19/2026
Meeting title
Commissioners' Agenda
Location
Commissioners' Auditorium
Address
205 West 5th Room 109 - Ellensburg
Meeting type
Regular
Meeting document type
Supporting documentation
Supplemental fields
Item
Request to Approve a Resolution to Adopt the CWU Technology Transfer Center Feasibility Study, Capital Stacking Plan and Grant Support Documents
Order
10
Placement
Consent Agenda
Row ID
144485
Type
Resolution
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34 | Old Heat CERB Feasibility Study <br />A PRODUCT MARKET ANALYSIS LINKED TO ECONOMIC <br />DEVELOPMENT: OLD HEAT: A MULTIPLICATIVE ENTERPRISE <br />FOR REGIONAL ECONOMIC DEVELOPMENT <br />Each program element within Old Heat is intentionally structured to deliver on the <br />project’s four objectives: 1) creating high-wage employment, 2) commercializing <br />and diffusing technology statewide, 3) reusing state assets efficiently, and 4) <br />demonstrating a model for replicable Eastern–Western Washington economic <br />alignment. <br />The project is a component of a larger/multi government/industry effort to <br />address the region’s lack of growth in high-value industries that is already <br />underway and funded by industry and government agencies for the same <br />purpose. For example, the National Science Foundation is funding this effort for <br />CWU to “increase institutional and regional capacity” for advanced technology <br />and workforce development in the region. These industries targeted are <br />those that typically drive wage increases, career pathways, innovation, and <br />reinvestment into local communities. Also, for example, there is a Congressional <br />Directed Spending Request to launch the “Advanced Competitive Technology <br />Institute” that has passed first approval from the 2025 US Congress. This project <br />is designed to integrate the deployment of general-purpose technology such as <br />AI, blockchain, robotics, within existing regional businesses’ operations to <br />make them more competitive at the national and international levels. Per the <br />Regional Contribution Continuum (RCC) model, it is intended to move existing <br />and new businesses from “Retentive” and “Additive” into the “Accelerative” <br />category where they serve to build base industries in the regional base. <br />The Advanced Competitive Technology Institute (ACTI) will serve as the applied <br />commercialization and technology-diffusion arm of Old Heat. Anchored at Central <br />Washington University’s Business and Community Services division, ACTI is <br />designed to connect research institutions, manufacturers, and rural enterprises <br />through hands-on programs that translate innovation into production. Its core <br />functions include helping firms adopt advanced technologies, training workers in <br />SECTION A high-demand technical skills, and linking Washington’s regional industries with <br />state and federal innovation initiatives. Through ACTI, Old Heat becomes not just <br />a facility, but the mechanism by which the region participates directly in <br />Washington’s statewide innovation ecosystem. <br />Kittitas County, with a population of roughly 44,000, sits between two powerful <br />economic hubs: the Yakima Valley to the south and the Seattle Metro Area to <br />the west. Yet, despite this location, Kittitas County lags significantly behind its <br />neighbors in median wages and industrial composition. As shown in Map A: <br />Median Wages and Wage Growth by County, Kittitas County’s median household <br />income of $69,928 trails far behind King County’s $135,075 and even lags the <br />state median of $94,605. While Yakima County shares similar wage limitations <br />($69,525), it maintains a stronger base industry cluster in agriculture that Kittitas <br />County lacks. <br />Exhibit 3: <br />Data Source: WA State Employment Security Department: https://esd.wa.gov/ <br />jobs-and-training/labor-market-information/employment-and-wages/medi- <br />an-and-hourly-wages <br />Data was aggregated using State Quarterly Wage Data and the LED (Local Em- <br />ployment Dynamics) report from the US Census Bureau and State Databases <br />SECTION A
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