February 14 (Mon) at 13:00 - 17:30, 2022 (JST)
  • Hybrid Format (RIKEN R-CCS room 107 and Zoom)

This workshop aims to present recent investigations related to mathematical modeling of COVID-19 spread and impacts, and to foster the use of data assimilation techniques in future studies. It also aims to facilitate interactions and discussions among researchers from different fields such as epidemiology, economics, and mathematics. This workshop is jointly hosted by RIKEN Data Assimilation Research Team and by Nagoya University Graduate School of Mathematics, and supported by FY2021 RIKEN President's Discretionary Funds for COVID-19. A hybrid meeting is planned, but depending on the situation, an online version will be organized. Young researchers and students are encouraged to attend.

13:00 - 13:10 Opening
13:10 - 14:00 Hiroshi Nishiura (Kyoto University)
(35 min + 15 min Q&A) TBD

14:00 - 14:50 Catherine Beauchemin (RIKEN iTHEMS)
(35 min + 15 min Q&A) The straight line: simple and effective

14:50 - 15:10 Break

15:10 - 16:00 Taisuke Nakata (The University of Tokyo)
(35 min + 15 min Q&A) Balancing NPIs and Economic Activities

16:00 - 16:50 Qiwen Sun (RIKEN Data Assimilation Research Team, Nagoya University)
(35 min + 15 min Q&A) Analysis of COVID-19 in Japan with Extended SEIR model and ensemble Kalman filter

16:50 - 17:30 Discussion

Related Link