Cover: The Potential for Artificial Intelligence Assistance in Funding Research

The Potential for Artificial Intelligence Assistance in Funding Research

Published Jun 4, 2024

by Hamad Al-Ibrahim

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This dissertation investigates the potential of Artificial Intelligence (AI) in transforming decision-making processes within funding agencies, which include governmental, quasi-governmental, and private organizations that finance research and innovation. These agencies are crucial in directing scientific inquiry and innovation by funding projects that meet their strategic and societal goals. The study seeks to determine how AI can improve the efficiency, transparency, and objectivity of funding allocations, posing the question: "How can AI be effectively integrated into the decision-making frameworks of funding agencies to optimize outcomes?"

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This document was submitted as a dissertation in March 2024 in partial fulfillment of the requirements of the doctoral degree in Public Policy Analysis at the Pardee RAND Graduate School. The faculty committee that supervised and approved the dissertation consisted of Steven Popper (chair), Osonde Osoba and Luke Matthews. The external reader was Jonathan Grant.

This publication is part of the RAND dissertation series. Pardee RAND dissertations are produced by graduate fellows of the Pardee RAND Graduate School, the world's leading producer of Ph.D.'s in policy analysis. The dissertations are supervised, reviewed, and approved by a Pardee RAND faculty committee overseeing each dissertation.

RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.