Machine Learning To The Rescue: From Health Recovery To Economic Revival (REBORN)
- Funded by Luxembourg National Research Fund
- Total publications:0 publications
Grant number: unknown
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Key facts
Disease
COVID-19Known Financial Commitments (USD)
$85,644Funder
Luxembourg National Research FundPrincipal Investigator
Jacques KleinResearch Location
LuxembourgLead Research Institution
University of LuxembourgResearch Priority Alignment
N/A
Research Category
Secondary impacts of disease, response & control measures
Research Subcategory
Economic impacts
Special Interest Tags
N/A
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Not Applicable
Vulnerable Population
Not applicable
Occupations of Interest
Not applicable
Abstract
REBORN is a data science project that focuses on the challenge of ensuring sustainable economic recovery in the face of COVID-19. The project team will apply advanced Machine Learning, business ecosystem modelling (i.e., expert knowledge) and simulation techniques to yield recommendations of economic actions given different scenarios in which the lockdown is relaxed, partially or totally lifted. By interacting with other teams of the Luxembourg Task Force, this project targets high impact for the various sectors of the Luxembourg economy, by providing appropriate data-driven recommendations for political decision-makers. We expect that REBORN could answer important questions such as: What are the industrial sectors to help in priority? What are the sectors that should be restarted first? What are the possible changes in consumer habits and the impact of neighboring country decisions on commuters?, etc. Ultimately, REBORN contributes towards reflections on initiatives to limit the spread of the future economic crisis due to COVID-19 as well as avoid worsening future waves of coronaviruses.