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Take part in COVID-19 Research

Volunteer your time

The Global fight against COVID-19 requires all communities to work together. To greater our knowledge of this novel virus, the data needs to be analysed fast and efficiently. You could help. Links below are categorised into:

  • Datasets
  • Research opportunities



Centre for the Mathematical Modelling of Infectious Diseases/COVID-19, London School of Hygiene & Tropical Medicine, UK

Data sets and latest research and interactive applications

Four streams of work at CMMID:

  1. Current patterns of transmission
  2. Severity of COVID-19
  3. Control measures
  4. Early outbreak dynamics


Coronavirus Disease (COVID-19) – Statistics and Research, Our World Data, University of Oxford, UK

Analysis and visualisation of data, particularly deaths, testing, cases and mortality.


CoVID 19 Worldwide Growth Rates, Professor Mark Handley, UCL, UK

Graphical presentation of the spread of SARS-CoV-2 coronavirus infection worldwide.


CSSEGISandData/COVID-19, Johns Hopkins University, USA

Data repository

This is the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE).

Links to raw data sources are provided (WHO, public health organisations, international bodies etc.).


MIDAS Online Portal for COVID-19 Modeling Research

Data repository

This repository serves as a central platform to share computable information (in CSV format) relevant for modeling of the COVID-19 outbreak.



Research opportunities

The Royal Society is coordinating a call for Rapid Assistance in Modelling the Pandemic (RAMP).

Deadline Thursday 2 April, 5pm

Full details of the scheme, with an online form to volunteer on behalf of your research group.

This urgent call to action is addressed to the scientific modelling community, and is a scheme to allow those with modelling skills (including data science) to contribute to current UK efforts in modelling the COVID-19 pandemic.

A willingness to work on specified tasks, and to deadlines, is needed. However, no previous experience in epidemic modelling, as such, is required of RAMP participants.


Volunteer Data Science against COVID-19

Join the initiative here

"Data Science Tinder" -- a place for clinicians / virologists / immunologists and others with data to find fast and free help from data science experts to crunch numbers.


Crowdfight COVID-19

Join the initiative here

An initiative from the scientific community to put all available resources at the service of the fight against COVID-19.


Initiatives on Kaggle

Join the initiative here

There is a large body of data and research continuously evolving around COVID-19. Help the global community and health organizations better understand the pandemic by contributing to this ecosystem of knowledge today.


The Crowdhelix Network: Call for Expert Collaborators: COVID-19 Response

Join the initiative here

Crowdhelix is seeking researchers & innovators worldwide with a strong track record of excellence in fields relevant to the global effort to tackle the novel coronavirus (COVID-19) pandemic.


COVIDathon: Decentralised AI against COVID-19 (starts 1st April 2020)

Join the hackathon here and their poster is attached at the bottom of the page

The DAIA Foundation (Decentralized AI Alliance), a not-for-profit global decentralized AI community, is launching its first-ever online global hackathon, COVIDathon, starting 1st April, 2020. The primary objective of COVIDathon is to bring together the decentralized AI community to find solutions to combat COVID-19 and its various consequences. The mission of the hackathon is to develop and launch open-source code using AI and/or blockchain to find solutions to fight COVID-19, reduce risk from future infectious outbreaks, and cope with the current pandemic situation.