1、HAMAD AL-IBRAHIMThe Potential for Artificial Intelligence Assistance in Funding ResearchThis 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 tha
2、t supervised and approved the dissertation consisted of Steven Popper(chair),Osonde Osoba and Luke Matthews.The external reader was Jonathan Grant.This dissertation was supported financially by the Anne and James Rothenberg Dissertation Award,and by the University of Qatar.DissertationPARDEE RAND GR
3、ADUATE SCHOOLFor more information on this publication,visit www.rand.org/t/RGSDA3387-1.About the Pardee RAND Graduate SchoolThe Pardee RAND Graduate School has specialized in graduate-level policy education since its founding in 1970.It is the original public policy Ph.D.program in the United States
4、 and the only program based at an independent public policy research organization.To learn more about the Pardee RAND Graduate School,visit www.pardeerand.edu.Published in 2024 by the RAND Corporation,Santa Monica,Calif.is a registered trademark.iii Abstract This dissertation investigates the potent
5、ial 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 projec
6、ts 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?The