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Asa Benjamin Palley Associate Professor of Operations and Decision Technologies John Rau Kelley School of Business Faculty Fellow Kelley School of Business, Indiana University Faculty Profile at Kelley |
I am an Associate Professor of Operations and Decision Technologies at the Kelley School of Business at Indiana University. I also serve as an Associate Editor at the journal Management Science. I received a Ph.D. in Decision Sciences from the Fuqua School of Business at Duke University, where I also completed a Certificate in College Teaching. I am honored to have been named one of Poets & Quants 40-Under-40 Best MBA Professors in 2024.
My research uses tools from the fields of decision analysis, operations research, and judgment and decision making to develop prescriptive methods to help individuals and organizations make better decisions. A critical step in many decision problems is the estimation and quantification of uncertainty about key variables in a decision model. Often, decision makers rely on personal or expert judgments (which may be subjective and/or driven by a formal quantitative model) to form such assessments. My primary stream of work thus far aims to improve these estimates by studying how they are obtained, how they can be appropriately adjusted, and how the availability of multiple experts can be leveraged to increase their accuracy. I use analytical mathematical models to derive new methodology for obtaining assessments of uncertainties and use laboratory experiments and archival data to test the effectiveness of these approaches. Secondary research interests include investment in renewable electricity generation and storage capacity, learning in sequential decision problems, and the application of decision analysis to public policy questions. My work has been published in Management Science, Experimental Economics, and Risk Analysis.
Below are illustrations created by ChatGPT based on the titles of some of my recent research papers (clicking on each image will take you to that published article):
My research uses tools from the fields of decision analysis, operations research, and judgment and decision making to develop prescriptive methods to help individuals and organizations make better decisions. A critical step in many decision problems is the estimation and quantification of uncertainty about key variables in a decision model. Often, decision makers rely on personal or expert judgments (which may be subjective and/or driven by a formal quantitative model) to form such assessments. My primary stream of work thus far aims to improve these estimates by studying how they are obtained, how they can be appropriately adjusted, and how the availability of multiple experts can be leveraged to increase their accuracy. I use analytical mathematical models to derive new methodology for obtaining assessments of uncertainties and use laboratory experiments and archival data to test the effectiveness of these approaches. Secondary research interests include investment in renewable electricity generation and storage capacity, learning in sequential decision problems, and the application of decision analysis to public policy questions. My work has been published in Management Science, Experimental Economics, and Risk Analysis.
Below are illustrations created by ChatGPT based on the titles of some of my recent research papers (clicking on each image will take you to that published article):
