This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1271) Crowdsourcing and Mechanical Turks (90) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1554) Machine Learning (1373) Natural Language Processing (638) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1010) CRISPR and Gene Editing (1)

Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17830, first published .
Assessing Public Opinion on CRISPR-Cas9: Combining Crowdsourcing and Deep Learning

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

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

Authors of this article:

Martin Müller1 Author Orcid Image ;   Manuel Schneider2 Author Orcid Image ;   Marcel Salathé1 Author Orcid Image ;   Effy Vayena2 Author Orcid Image
Article Authors Cited by (11) Tweetations (27) Metrics

Martin Müller   1 * , MSc ;   Manuel Schneider   2 * , MSc ;   Marcel Salathé   1 , PhD ;   Effy Vayena   2 , PhD

1 Digital Epidemiology Lab, School of Life Sciences, School of Computer and Communication Sciences, EPFL, Geneva, Switzerland

2 Health Ethics and Policy Lab, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland

*these authors contributed equally

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