The Diverse Variables To Consider When Planning and Assessing Public Research Portfolios
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Objectives of the Office of Energy Efficiency and Renewable Energy (EERE) 2009-2010 Studies (Solar, Wind, Geothermal, & Combustion Engine R&D) are to: (1) Demonstrate to investors that EERE research and technology development (R&D) programs & subprograms are 'Worth It'; (2) Develop an improved Benefit-Cost methodology for determining realized economic and other benefits of EERE R&D programs - (a) Model government additionality more thoroughly and on a case-by-case basis; (b) Move beyond economic benefits; and (c) Have each study calculate returns to a whole EERE program/subprogram; and (3) Develop a consistent, workable Methods Guide for independent contractors who will perform the evaluation studies.
There has been a concerted effort since 2007 to establish a dashboard of metrics for the Science, Technology, and Engineering (ST&E) work at Sandia National Laboratories. These metrics are to provide a self assessment mechanism for the ST&E Strategic Management Unit (SMU) to complement external expert review and advice and various internal self assessment processes. The data and analysis will help ST&E Managers plan, implement, and track strategies and work in order to support the critical success factors of nurturing core science and enabling laboratory missions. The purpose of this SAND report is to provide a guide for those who want to understand the ST&E SMU metrics process. This report provides an overview of why the ST&E SMU wants a dashboard of metrics, some background on metrics for ST&E programs from existing literature and past Sandia metrics efforts, a summary of work completed to date, specifics on the portfolio of metrics that have been chosen and the implementation process that has been followed, and plans for the coming year to improve the ST&E SMU metrics process.
Current policy and program rationale, objectives, and evaluation use a fragmented picture of the innovation process. This presents a challenge since in the United States officials in both the executive and legislative branches of government see innovation, whether that be new products or processes or business models, as the solution to many of the problems the country faces. The logic model is a popular tool for developing and describing the rationale for a policy or program and its context. This article sets out to describe generic logic models of both the R&D process and the diffusion process, building on existing theory-based frameworks. Then a combined, theory-based logic model for the innovation process is presented. Examples of the elements of the logic, each a possible leverage point or intervention, are provided, along with a discussion of how this comprehensive but simple model might be useful for both evaluation and policy development.
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Proposed for publication in the Academy of Management Review.
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Proposed for publication in Research Technology Management.
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