April 26, 2013 – Andrew Gelman, Professor of Statistics and Political Science at Columbia University, presented his seminar, “Causality and Statistical Learning.” This was the final seminar of the Spring Semester, but Professor Gelman certainly delivered an entertaining and informative talk. If you were not able to attend the talk, be sure to catch it here: https://videostreaming.gc.cuny.edu/videos/video/693/.
In the talk, Professor Gelman spoke about disagreements about methodology between different disciplines. On the one hand, experiments are often seen as the gold standard for establishing causal arguments. Yet, many social scientists opt to use observational or survey data to make causal inferences. How then do we negotiate between different internal and external validity?
If you want to find out more, then be sure to check out the video! One thing to note about this video is that, unlike our previous ones, this video does not offer a separate window to view the presentation slides. Unfortunately, we had a bit of technical difficulty with that. However, some of the slides can be found on Professor Gelman’s website here: https://www.stat.columbia.edu/~gelman/presentations/causaltalk3_handout.pdf.
And lastly, be sure to check back to our website over the summer when we will announce our Fall schedule!