EA Data Analysis Volunteering Application

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Hey! Interested in doing high-impact data analysis for EA projects? It's a great chance to sharpen your data skills while also helping EA projects run. I've already talked to several EA organizations and we still have far more project ideas than people. This application should take about twenty minutes to complete.

Work can be done remotely from anywhere with an internet connection. While we'd love a volunteer willing to do the work for free to build skills and help the EA movement, we understand the importance of compensation. Therefore, we would be happy to pay for work at good rates upon request (though this money would be money otherwise going to top EA charities).

What is your name?

What is the best email address to contact you at?

How many hours do you think you reliably could contribute to volunteering per week, for a typical week, keeping in mind that people usually over estimate these things? *

1 - 3 hours

4 - 5 hours

5 - 7 hours

8 - 10 hours

10 - 15 hours

16 - 20 hours

More than 20 hours

Which of the following things are true about you? (None of these are requirements; it's just good to know.) *

I have graduated high school

I am currently in college/university (undergraduate)

I have graduated college/university (undergraduate)

I am currently in postgraduate studies (e.g., masters, PhD)

I have taken a class in the social sciences (e.g., political science, economics, psychology)

I have experience analyzing data using R (i.e., you've spent more than two hours analyzing some data set)

I have experience analyzing data using Python (i.e., you've spent more than two hours analyzing some data set)

I have experience analyzing data using SPSS, STATA, or Matlab (i.e., you've spent more than two hours analyzing some data set)

I have experience using GitHub

I have spent more than an hour a week volunteering for an organization in the past (does not have to be an EA organization)

Required

Looking at the above table of data from the EA survey, what conclusions would you draw about gender in the EA movement? *

The table above shows the rate overall and then breaks the data down by our top three referrers to the EA survey. Which is more fair to report, the overall data or the broken data? Why? How could you tell? *

What common pitfalls or misconceptions do you think people may take by looking at the above table? How would you address those misconceptions in your report?

The table above shows a regression of three advertising budgets and their effect on sales at a fictional company. What conclusions can you draw about advertising spending? Is there one form of advertising that is more effective than the other two? Is there one form of advertising that is less effective than the other two? How could you tell? *

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