Author Archives: schrodt735

What if a few grad programs were run for the benefit of the graduate students?

I’ve got a note in my calendar around the beginning of August—I was presumably in a really bad mood at [at least] some point over the past year—to retweet a link to my blog post discussing my fondness for math … Continue reading

Posted in Higher Education, Methodology | Leave a comment

Witnessing a paradigm shift?

The philosopher of science Thomas Kuhn is famous—beyond an apparent penchant for throwing ashtrays [1]—for his vastly over-generalized concept of “paradigm shifts” in scientific understanding, where a set of ideas once thought unreasonable becomes the norm, exchanging this status with … Continue reading

Posted in Methodology | 1 Comment

Should an event coder be more like a baby?

Last evening, as is my wont, I was reading the current issue of Science [1]—nothing like a long article on, say, the latest findings on mantle convection beneath the Hawai’i hotspot to lull one to sleep—when an article titled “Basic … Continue reading

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Entropy, Data Generating Processes and Event Data

Or more precisely, the Santa Fe Institute, Erin Simpson, and, well, event data. With a bit of evolutionary seasoning from Robert Wright, who is my current walking-commute listening. Before we get going, let me make completely clear that there are … Continue reading

Posted in Methodology | 5 Comments

Violence in Charlottesville and what we might gain from the Heather Heyers of this world

As you’ve probably been aware, things have been rather, well, difficult in these parts over the past few days. Living in State College I quickly learned that when you find your town on the front page of the New York … Continue reading

Posted in Politics | 1 Comment

So, punk, think ya can start a data science program??

This is the second part of a two-essay series addressing some of the features one might wish to include in a contemporary “data science” program using resources in existing quantitative “social science” programs. The first, a rather rambling polemic, addressed … Continue reading

Posted in Higher Education, Methodology, Programming | 3 Comments

Yes, Virginia, the social and data sciences are “science”

Dedicated to the memory of Will H. Moore This is the first in a two-part series on leveraging quantitative social science programs to provide training in data science, inspired by a recent invitation to provide input on that topic at … Continue reading

Posted in Uncategorized | 1 Comment