报告题目：Some Recent Developments in Phaseless Inverse Scattering Problems

报告人：张波 教授（中国科学院数学与系统科学研究院）

报告时间：2022年08月20日 9:00-10:00

报告地点：腾讯会议709-2783-3435

报告内容摘要：

报告题目：Evolutionary game dynamics with environmental feedback

报告人：Prof.Ming Cao 

报告时间：2022年8月26日（周五）13:30

地点：腾讯会议：661-467-925

报告内容摘要：

报告题目：Solving the boundary value problem of an elliptic equation by Levi function scheme

报告人：刘继军 教授（东南大学数学学院）

报告时间：2022年8月24日 9:00-10:00

报告地点：腾讯会议：709-2783-3435

报告内容摘要：

报告题目：Using Mathematical Models with Google Mobility Data to Predict COVID-19 in Arizona

报告人：Haiyan Wang 教授（Arizona State University）

报告时间：2022年8月25日 10:00-12:00

报告地点：腾讯会议 831-505-373

报告内容摘要：

报告题目：Dynamics of a model on tumor-immune system with regulation of PD-1/PD-L1 and stimulation delay of tumor antigen

报告人：Yuming Chen 教授（Wilfrid Laurier University）

报告时间：2022-08-25 8:00-10:00

报告地点：腾讯会议831-505-373

报告内容摘要：

报告题目：A new perspective on infection forces with demonstration by a DDE infectious disease model

报告人：Xingfu Zou 教授（University of Western Ontario）

报告时间：2022-08-25 14:00-16:00

报告地点：腾讯会议 831-505-373

报告内容摘要：

报告题目：Time Disaggregation in Input-Output Analysis of Embodied Energy and Emissions

报告所属学科：管理科学与工程

报告人：苏斌（新加坡国立大学）

报告时间：2022年9月4日 19:00-21:00

报告地点：腾讯会议671-223-083

报告摘要：

Input-output (I-O) analysis has been widely used in national energy and energy-related emission studies. These studies are generally conducted using annual data. In a growing number of countries, significant variations in renewable energy supply and in final demands of goods and services are observed over time within a year. These temporal variations cannot be captured in I-O analysis using annual data. To investigate such temporal dynamics, we propose an I-O analysis framework that uses monthly data. Further to that, the drivers in embodiments and aggregate embodied intensity (AEI) indicators are studied via Structural Decomposition Analysis (SDA). Additive SDA and multiplicative SDA are applied to reveal the temporal dynamics associated with energy and emission embodiments and AEI indicators, respectively. An application study using China’s 2018 datasets show the importance of temporal dynamics in studying its embodiments and AEI indicators, with drivers of their changes show significant variations over months. It is shown that increased data granularity reveals useful information which would otherwise undetected if annual data are employed. Implications of the findings on future research are discussed.

报告人简介：

苏斌 (Dr. Su Bin) 是新加坡国立大学能源研究所资深研究员，能源与环境研究中心主任，能源系统建模团队负责人，同时担任新加坡节能和低碳路径发展研究项目总负责人。主要研究领域为能源和环境经济与政策、能源与气候变化、能源环境系统建模和分析，在能源和环境相关的国际期刊上已发表SCI/SSCI论文120多篇，其中ESI高被引文章30多篇，研究工作被引用8000多次，入选科睿唯安2018-2021年全球高被引科学家，斯坦福大学研究团队发布的2020-2021年全球能源领域Top 2%科学家，全球知名经济学研究数据库RePEC/IDEAS发布的2021年全球Top 1%经济学家。现任Energy Economics (SSCI) 期刊副主编和客座主编，多个国际期刊的客座主编、副主编和编委，以及100多个国际期刊审稿人。在新加坡主持和参与三十多项能源环境相关的政府研究项目，获得新加坡贸易与工业部、环境与水资源部、外交部、经济发展局、国家环境署、能源市场管理局、海运和港口管理局、气候变化秘书处、国家研究基金会等政府部门资金支持。

报告题目：Dirty skies lower China’s subjective well-being

报告所属学科：应用经济学

报告人：米志付（伦敦大学学院）

报告时间：2022年9月5日 19:00-21:00

报告地点：腾讯会议 743-618-579

报告摘要：

Self-reported life satisfaction of China’s population has not improved as much as expected during the economic boom, which was accompanied by a significant decline in environmental performance. Is environmental pollution the culprit for the lagging subjective well-being? To explore this issue, this paper adopts the sentiment analysis method to construct a real-time daily subjective well-being metric at the city level based on the big data of online search traces. Using daily data from 13 Chinese cities centred on Beijing between August 2014 and December 2019, we look at the correlation between subjective well-being and air pollution and the heterogeneity in this relationship based on two separate identification strategies. We find that air pollutants are negatively correlated with subjective well-being, and well-being tends to decline more from pollution during hot seasons. In addition, residents in wealthier regions tend to be more sensitive to air pollution. This result may be explained by the differences in the subjective perception of air pollution and personal preferences at different levels of income. These findings provide information about the concerns of the public to the central government, thereby helping it take appropriate actions to respond to the dynamics of subjective well-being.

报告人简介：

米志付，伦敦大学学院巴特莱特可持续建设学院教授、博士生导师、副院长，伦敦政治经济学院高级访问学者。致力于气候变化经济与政策研究，成果发表于Lancet、Science子刊、Nature子刊等国际知名期刊。入选科睿唯安“高被引科学家”，荣获世界可持续发展奖、中国百篇最具影响国际学术论文奖、Energy Economics最佳论文奖、Environmental Research Letters最佳青年学者论文奖、 Applied Energy高被引原创论文奖等。担任SSCI期刊Structural Change and Economic Dynamics（IF: 5.059）共同主编。