The Potential for Artificial Intelligence Assistance in Funding Research

Hamad Al-Ibrahim

ResearchPublished Jun 4, 2024

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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Al-Ibrahim, Hamad, The Potential for Artificial Intelligence Assistance in Funding Research. Santa Monica, CA: RAND Corporation, 2024. https://www.rand.org/pubs/rgs_dissertations/RGSDA3387-1.html.
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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. Dissertations are written by Ph.D. candidates at the RAND School of Public Policy and supervised, reviewed, and approved by a RAND School faculty committee overseeing each dissertation. The RAND School is the world's leading producer of Ph.D.'s in policy analysis.

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.