RIKEN-Nagoya University Joint Workshop: Towards the Use of Data Assimilation for COVID-19 Investigations

Overview

  • Date: 14 February 2022 (Mon), 13:00 - 17:30
  • Place : Online* (Zoom)
  • Language: English

    • * Given the recent sharp increases in positive Covid-19 cases, the organizers have made the decision that the workshop will be held virtually.

Introduction

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.

Program (tentative)

13:00-13:10 Opening
13:10-14:00
(35 min + 15 min Q&A)		 Hiroshi Nishiura (Kyoto University)
Estimating the natural history of COVID-19 from coarse epidemiological datasets
14:00-14:50
(35 min + 15 min Q&A)		 Catherine Beauchemin (RIKEN iTHEMS)
The straight line: simple and effective
14:50-15:10 Break
15:10-16:00
(35 min + 15 min Q&A)		 Taisuke Nakata (The University of Tokyo)
Balancing NPIs and Economic Activities
16:00-16:50
(35 min + 15 min Q&A)		 Qiwen Sun (RIKEN Data Assimilation Research Team, Nagoya University)
Analysis of COVID-19 in Japan with Extended SEIR model and ensemble Kalman filter
16:50-17:30 Discussion

Application

To join the meeting, please contact the following address in advance.

E-mail: daws-staff@ml.riken.jp

Please set the subject of the email as: Register to COVID-19 workshop

Please include the following information in the email: Name, affiliation, title (academic year if student), email, attend in person/online.

Deadline: 31 January 2022 for in-person participants, 7 February 2022 for online participants.

* In case that you do not hear from the organizer within 3 days, please re-send the email.

* You will be notified the Zoom URL for online participation by 10 February 2022.

* The number of in-person participants is limited due to the capacity of the venue. You may be asked to change the attendance style from in-person to online if necessary. We appreciate your understanding.

Organizer

  • Data Assimilation Research Team, RIKEN Center for Computational Science (R-CCS)
  • Prediction Science Laboratory, RIKEN Cluster for Pioneering Research (CPR)
  • RIKEN Interdisciplinary Theoretical and Mathematical Sciences Program (iTHEMS)
  • Graduate School of Mathematics, Nagoya University (NU)

Group photo

Protection of personal data

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