Software Sprint - Single project: OpenResearch - Open Research on COVID19

  • Funded by Bundesministerium für Bildung und Forschung [German Federal Ministry of Education and Research] (BMBF)
  • Total publications:0 publications

Grant number: 01IS20S28

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2020
    2020
  • Known Financial Commitments (USD)

    $52,119.1
  • Funder

    Bundesministerium für Bildung und Forschung [German Federal Ministry of Education and Research] (BMBF)
  • Principal Investigator

    N/A

  • Research Location

    Germany
  • Lead Research Institution

    OpenResearchCOVID19 - Leonardo de Araújo, Nina Hentschel & Hanna Blonska GbR
  • Research Priority Alignment

    N/A
  • Research Category

    Health Systems Research

  • Research Subcategory

    Health information systems

  • Special Interest Tags

    Data Management and Data Sharing

  • 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

The plan is to develop a modular, extensible & open API platform that will provide AI services to extract insights & information from the large number of scientific writings on COVID-19. During the grant period, 3 AI services based on Topic Modeling, Doc2Vec & Q&A with SQuAD+Bert will be developed. The combination of these provides a summary & enables semantically rich queries on the scientific content. The API platform integrates with dashboards, websites & 3rd party platforms. The goal is not only to offer insight into the data, but also to allow users to train their own data models. Although COVID-19 is a new disease, already more than 52,000 wiss. Publications have been written on this & more are being added daily. Doctors, physicians & researchers do not have the time to read all the scientific publications, especially if they are in front of a scientific meeting. Publications, especially when they are faced with solving a specific problem, which is not the main topic of the essays, but the solution is contained in them. Helping healthcare professionals cope with the complexity of large volumes of scientific material & enabling them to perform user-friendly data retrieval using NLP techniques are critical attributes for increasing response effectiveness to current & future challenges.