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-19
  • Known Financial Commitments (USD)

    $85,644
  • Funder

    Luxembourg National Research Fund
  • Principal Investigator

    Jacques Klein
  • Research Location

    Luxembourg
  • Lead Research Institution

    University of Luxembourg
  • Research 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.