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Julien Lecture 4: Data Assimilation Event1 #718064 2023 AARMS-EIDM Summer School, Lecture 4 "Data Assimilation" by Julien Arino as part of Course 2. Data, models, and decision support.

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EIDM »EIDM EIDM ☜The Emerging Infectious Diseases Modelling Initiative (EIDM) – by the Public Health Agency of Canada and NSERC – aims to establish multi-disciplinary network(s) of specialists across the country in modelling infectious diseases to be applied to public needs associated with emerging infectious diseases and pandemics such as COVID-19. [1]☜F1CEB7

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Networks »NetworksNetworks☜Learn more about the five EIDM networks: CANMOD, MfPH, OMNI, OSN, and SMMEID.☜79B9B9

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CANMOD »CANMOD CANMOD ☜CANadian Network for MODelling infectious Disease / Réseau CANadien de MODélisation des maladies infectieuses☜79B9B9

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CANMOD – Training »CANMOD – TrainingCANMOD – Training☜We are building expertise amongst the next generation of infectious disease modellers, and preparing them for careers in academia, industry, and the public sector.☜AECCD8

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23/08/19 AARMS-EIDM Summer School on Modelling Infectious Diseases »23/08/19 AARMS-EIDM Summer School on Modelling Infectious Diseases23/08/19 AARMS-EIDM Summer School on Modelling Infectious Diseases☜Organizer: Dr. A. Hurford, Dates: August 19-31, 2023, Venue: Bonne Bay Aquarium and Research Station (BBARS), Newfoundland and Labrador (NL).The AARMS-EIDM Short Summer School on Modelling Infectious Diseases aims to fulfil a deliverable listed in the Atlantic Association for Research in the Mathematical Sciences (AARMS) support letter for 3 networks in the Emerging Infectious Disease Modelling Initiative (EIDM) Consortium: to run an AARMS summer school.☜E883B6

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2023 Summer School in EIDM Course 2: Data, models and decision support »2023 Summer School in EIDM Course 2: Data, models and decision support2023 Summer School in EIDM Course 2: Data, models and decision support☜This course teaches the technical skills to parameterize dynamical systems models in ecology and evolution and quantify prediction uncertainty. The course examines case studies to understand the use of models in decision support.☜E883B6

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Julien Lecture 4: Data AssimilationJulien Lecture 4: Data Assimilation☜2023 AARMS-EIDM Summer School, Lecture 4 Data Assimilation by Julien Arino as part of Course 2. Data, models, and decision support.☜E883B6

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Julien Arino »Julien ArinoJulien Arino☜Professor and Faculty of Science Research Chair in Fundamental Science with the Department of Mathematics at the University of Manitoba.☜FFFACD

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Link[1] Julien Lecture 4: Data Assimilation - Slides

Author: Julien Arino
Publication date: 26 August 2023
Cited by: David Price 3:45 PM 18 February 2024 GMT
URL:

https://ahurford.github.io/aarms-summer-school/2023-08-26-AARMS-data-assimilation.html

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Outline:

• Data assimilation

• Using a Kalman filter

• Side note: observers

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Entered by:- David Price
NodeID: #718064
Node type: Event
Entry date (GMT): 2/18/2024 3:41:00 PM
Last edit date (GMT): 2/18/2024 3:46:00 PM
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