[Statlist] Co-authorship for documenting data analysis in R

[Michael Feldman]

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. If interested, please email both Martin Schweinsberg (martin.schweinsberg using esmt.org <mailto:martin.schweinsberg using esmt.org>) and Michael Feldman (feldman using ifi.uzh.ch <mailto:feldman using ifi.uzh.ch>). For a more detailed project description, click on this link:
https://goo.gl/bnVVfS <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 <http://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 <https://goo.gl/bnVVfS>


Best wishes,

Carolin Strobl
Abraham Bernstein
Eric Uhlmann
Martin Schweinsberg
Michael Feldman
Nicola Staub


	[[alternative HTML version deleted]]