معرفی
Nick Arnosti is an Assistant Professor in the Department of Industrial and Systems Engineering at the University of Minnesota. Prior to joining the University of Minnesota, he was an assistant professor at Columbia Business School. His research focuses on market design, with particular emphasis on giving away social goods such as affordable housing, public school seats, hunting licenses, hiking permits, and discounted tickets to events.
Dr. Arnosti received his PhD in Operations Research from Stanford University in 2016, where he was advised by Ramesh Johari and Paul Milgrom. He graduated from Williams College in 2011 with BAs in Mathematics and Computer Science. A native of Saint Paul, MN, he graduated from Saint Paul Central High School in 2007 and has returned to his hometown to pursue his academic career.
His research primarily centers around the allocation of public goods through lotteries and waitlists. He studies systems for allocating affordable housing, procedures used by school districts to assign students to public schools, and similar mechanisms for organ donation waitlists, immigration visas, and less weighty applications like recreational resource allocation. His work combines theoretical analysis with practical applications to improve the efficiency and fairness of these allocation systems. Dr. Arnosti maintains an active research blog called "A Model World" where he shares insights on translating real-world scenarios into mathematical models, covering topics from market design to sports analytics.
Analysis of Dr. Arnosti's publications reveals a consistent focus on market design and resource allocation problems. His work spans theoretical contributions to matching theory and practical applications in housing policy, school choice, and recreational resource management. A notable trend is his examination of lottery systems and their properties, as well as the development of mathematical models to understand and improve allocation mechanisms. His research often bridges economics, operations research, and computer science to address real-world policy questions.
Dr. Arnosti has published in top journals including Operations Research, Management Science, American Economic Review, and Manufacturing and Services Operations Management. His work has been presented at leading conferences such as the ACM Conference on Economics and Computation (EC), Match Up, and WINE. His research on housing lotteries, school choice mechanisms, and recreational resource allocation demonstrates both theoretical rigor and practical relevance to public policy.
His teaching appears to focus on market design and resource allocation, with course materials covering topics like Pareto Efficiency, Top Trading Cycles, Deferred Acceptance Algorithm, and affirmative action policies. He has developed comprehensive lecture materials on the engineering of public resource allocation systems, demonstrating his commitment to translating complex theoretical concepts into accessible educational content.
