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Population Biology of Infectious Diseases Research Experiences for Undergraduates (REU) Program.

DATES:
May 18 - July 17, 2020
LOCATION:
University of Georgia, United States
The Population Biology of Infectious Diseases REU Site at the University of Georgia is a nine-week NSF-funded program to provide students from across the country with research experiences at the intersections of quantitative and experimental studies in infectious disease biology.
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Epidemiology’s Summer Institute at Columbia University – episummer@columbia

DATES:
June 1 - June 30, 2020
LOCATION:
New York, NY
Episummer@columbia provides opportunities to gain foundational knowledge and applied skills for advancing population health research. The short courses are offered in both classroom and online learning formats.
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2nd International Workshop on Forecasting for Social Good

DATES:
June 11-12, 2020
LOCATION:
Bordeaux, France
F4SG 2020: The 2nd International Workshop on Forecasting for Social Good follows the success of F4SG 2018 and the International Journal of Forecasting's special issue on Forecasting for Social Good.
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Yale Summer Course in Public Health Modeling

DATES:
June 22-26, 2020
LOCATION:
New Haven, Connecticut, USA
The Yale School of Public Health offers the Summer Course in Public Health Modeling, June 22-26, 2020. This is an exciting opportunity to learn from distinguished faculty and network with an international group of public health researchers.
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Short course: Epidemiological evaluation of vaccines: efficacy, safety and policy

DATES:
July 6-17, 2020
LOCATION:
London, UK
A short course offered by the London School of Hygiene and Tropical Medicine. The course is relevant to public health professionals and field researchers with a strong interest in vaccine efficacy, safety and policy impact.
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Modelling Infectious Disease Risk in a Changing Climate

DATES:
August 25-28, 2020
LOCATION:
London, UK
This 4-day intensive training course offered by the London School of Hygiene and Tropical Medicine aims to introduce several tools to access, collate, visualise and analyse environmental, climatic, health and other ancillary datasets. Participants will learn how such data can be incorporated into early warning prediction models to mitigate the impact of infectious disease epidemics.
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Introduction to Mathematical Models of the Epidemiology & Control of Infectious Diseases

DATES:
September 7-18, 2020
LOCATION:
London, UK
An interactive short course for professionals, organized by the Department of Infectious Disease Epidemiology, Imperial College London.
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