[The first session of the 2022 summer class]

  On the morning of July 5, 2022, Professor Cai Yongyang of Ohio State University was invited to give an academic lecture on "Integrated Assessment Models and Uncertainty" in the summer course of the college. More than 270 teachers and students attended the lecture.

  In the lecture, Professor Cai reviewed the key basic concepts in the field of climate economy and the classic comprehensive assessment model of climate change, and based on the three main research results he has completed, from energy transition policy design (the choice of carbon tax and subsidies), non- Carbon pricing under certainty, key uncertainties in climate-economic comprehensive assessment modeling, etc. are discussed. The course content spans economics, operations research and computational mathematics, climate change and other major disciplines, reflecting problem-oriented interdisciplinary integration research.

  During the Q&A session, Professor Cai gave an explanation on model design, numerical optimization algorithm, uncertainty modeling, model parameter calibration, model expansion, climate policy design, etc., and introduced his research and development process. This lecture provides a good overview of the knowledge system, cutting-edge literature clues and condensed examples of scientific problems for graduate students and senior undergraduates who are about to enter the field, and also provides strong guidance for teachers and students who are engaged in research in this field. It also has a strong inspiration for teachers and students who are engaged in interdisciplinary research such as management science and economic science. The lecture was chaired by Professor Liao Hua from the Energy and Environmental Policy Research Center.

  Prof. Cai Yongyang received his Ph.D. from Stanford University. He is mainly engaged in the research of climate change economics, computational economics, economic and multi-system comprehensive modeling, resource and environmental economics, etc. He has created a number of numerical solutions for dynamic stochastic general equilibrium and dynamic stochastic Methods of non-cooperative games and applications to solve optimization or game problems in dynamic stochastic systems in economics. His results have been published in famous journals such as JPE, JEEA, QE, PNAS, NCC, OR, etc., and have been widely cited and highly evaluated by institutions or scholars including the 2018 Nobel Economics Prize Jury. He has also chaired and participated in a number of major interdisciplinary research projects, and is an outstanding scholar in the modeling of comprehensive assessments of uncertainties in the climate-economic system.