Assessing Public Opinion on CRISPR-Cas9: Combining Crowdsourcing and Deep Learning.

Journal: Journal of medical Internet research
PMID: 32865499

Abstract

BACKGROUND: The discovery of the CRISPR-Cas9-based gene editing method has opened unprecedented new potential for biological and medical engineering, sparking a growing public debate on both the potential and dangers of CRISPR applications. Given the speed of technology development and the almost instantaneous global spread of news, it is important to follow evolving debates without much delay and in sufficient detail, as certain events may have a major long-term impact on public opinion and later influence policy decisions.

Authors

  • Martin Müller
    Digital Epidemiology Lab, School of Life Sciences, School of Computer and Communication Sciences, EPFL, Geneva, Switzerland.
  • Manuel Schneider
    Research Group for Pattern Recognition, University of Siegen, 57076 Siegen, Germany. manuel.schneider@student.uni-siegen.de.
  • Marcel Salathe
    Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
  • Effy Vayena
    Health Ethics and Policy Lab, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.

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