Co-authorship on Data Science Project

Dear colleagues, 

  - Interested in how analytic choices affect research results? 

  - Interested in the role of gender in scientific debates? 

  - Do you know how to analyse data using R? 

Join us as an analyst and co-author for the second phase of our project crowdsourcing the analysis of a dataset on gender, status, and science. To participate, please email both Martin Schweinsberg (martin.schweinsberg@esmt.org) and Michael Feldman (feldman@ifi.uzh.ch). For a more detailed project description, check out the description at : https://goo.gl/bnVVfS

 Who can participate?
 Everyone who is interested in this topic and knows basic R can participate

 What will I get?
 We can offer you a co-authorship of the resulting paper and experience of participating in unique crowdsourced data analysis research with many other participants.

 What will I need to do?
 You will receive two hypotheses regarding the gender and status in science and a dataset of collected scientific dialogue from Edge.org. Then we will ask you to analyse the data to answer the hypotheses using online Rstudio.

If we picked your interest please do not hesitate to see the full description of this very interesting research: https://goo.gl/bnVVfS


Thanks and best,


Abraham Bernstein
Michael Feldman
Eric Uhlmann
Martin Schweinsberg
Nicola Staub
Carolin Strobl
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|  Professor Abraham Bernstein, PhD
|  University of Zürich, Department of Informatics
|  web: http://www.ifi.uzh.ch/ddis/bernstein.html