Speaker: YANG Beijian, senior lecturer of Microsoft Office series coursesVenue：Library Multi-function Room, 1st Floor, International Campus

Speaker: SHOU Huixia, Professor, college of life science, Zhejiang UniversityVenue：Faculty Club #4, International Campus

Speaker:CHEN Zhenqing, professor, department of mathematics, the University of Washington.Venue: Tencent meeting, meeting ID: 273 754 387

Speaker:Karen Eggleston, Director, The Stanford Asia Health Policy Progrem, Stanford UniversityAlex Jingwei He, Associate Head and Associate Professor, Department of Asian and Policy Studies. The Education University of Hong KongVenue: ZOOM

Speaker: XU FengliXU Fengli is a postdoc fellow in the Knowledge Lab and Mansueto Institute for Urban Innovation in University of Chicago. His research interest lies in computational social science and science of science. He currently focuses on understanding and modeling the collective intelligence of scientific teams.Venue: ZOOMhttps://us02web.zoom.us/j/87125592985?pwd=NW0yb25ycUltUE5iK3ZkeDh4ZENPdz09Meeting ID：871 2559 2985Code：650311Abstract:The advance of science today is characterized by a productivity dilemma—the fast growth in the number of scientists and publications but slow expansion of new concepts and ideas. This diminishing returns of science has triggered concerns on whether science is stagnant. Here we reveal a related social phenomenon—the increasing dominance of “tall teams” working on evaluating existing ideas, as “flat teams” who are more capable of searching for new ideas, diminish in prevalence. We analyze nearly 96,000 author contribution statements from papers published in four reputable journals over 15 years, including Nature, Science, PNAS, and PLOS ONE. We identify two team roles, “brain” and “muscle,” who contribute to idea search—designing research and writing papers, and evaluation—implementing experiments, analyzing data, drawing figures, etc., respectively. As designing and writing activities produce references, we proposed and verified “knowledge exchange index,” a novel measure that identifies “brains” who actively contribute to the collective references based on their individual knowledge. In this way, we infer and analyze the effect of flat and tall teams in 18 million scientific papers published in the past 70 years. 

Speaker: WANG Bo, Assistant professor, Zhejiang Gongshang University International Business SchoolVenue: Tencent meeting, meeting ID: 597 177 763(Please note your name and apartment)Abstract:We introduce a name market into an overlapping generations model to address politician selection and political accountability when office-holders need not stand for re-election. We show that the name market could mitigate both issues. On the one hand, acquiring a good name screens good politicians; on the other hand, earning a good name incentivizes old politicians. The political accountability problem is solvable because of the selection problem. Transparency of a politician's type crowds out the name, aggravating the political accountability problem. We finally derive the optimal information policy and discuss its economic implications.

Speaker: LU Shijie, an Assistant Professor of Marketing in the Bauer College of Business, University of Houston. He received a Ph.D. in business administration from the University of Southern California. His research focuses on online advertising, user-generated content, competitive strategy, and piracy, and has appeared in Marketing Science, Management Science, Journal of Marketing, and Journal of Consumer Research. He currently serves on the editorial review board of the Journal of Marketing Research, and will serve on the editorial review board of the Marketing Science starting in 2022.Venue: Tencent meeting, meeting ID: 875 532 492Abstract:We use data from a large U.S.-based specialty retail brand and a similar control brand before and after an involuntary revelation of the focal brand’s political position to study if and how corporate political advocacy (CPA) affects sales. We find that the total sales dollar amount and quantity of the focal brand increase by 17.1% and 12.7% after the event relative to the control brand. Further, sales increase more in places where the local political preference aligns more with the focal brand’s position. We also find that the change in the customer base rather than basket size drives the effect of CPA, suggesting an informative function of CPA by communicating the brand’s political ideology to potential consumers who share a similar ideology. Lastly, only changes in the sales of conspicuous rather than inconspicuous products vary by the local political preference. This observation is consistent with consumers’ use of consumption as a signaling device to communicate their political ideologies to others.

Speaker: Dr. LIU Jiajia, Principal investigator, Institute of Genetics and Developmental Biology, Chinese Academy of ScienceVenue: Room A203-1, ZJE building

Speaker: Dr. Ruming Zhang （Karlsruhe Institute of Technology）Venue: ZOOM, meeting ID: ID：924 0584 1092, password: 674849Abstract:The main task is to prove that the perfectly matched layers (PML) method converges exponentially with respect to the PML parameter, for scattering problems with periodic surfaces. A linear convergence has already been proved for the PML method for scattering problems with rough surfaces in a paper by S.N. Chandler-Wilder and P. Monk in 2009. At the end of that paper, three important questions are asked, and the third question is if exponential convergence holds locally. In this talk, we answer this question for a special case, which is scattering problems with periodic surfaces. The result can also be easily extended to locally perturbed periodic surfaces or periodic layers. Due to technical reasons, we have to exclude all the half integer valued wavenumbers. The main idea of the proof is to apply the Floquet-Bloch transform to write the problem into an equivalent family of quasi-periodic problems, and then study the analytic extension of the quasi-periodic problems with respect to the Floquet-Bloch parameters. Then the Cauchy integral formula is applied for piecewise analytic functions to avoid linear convergent points. Finally the exponential convergence is proved from the inverse Floquet-Bloch transform.