11---
22title : " Memo 1: On Study Design in Computational Humanities"
3- author : Dennis Yi Tenen
4- date : 2025-05-10
3+ author : " Dennis Yi Tenen"
4+ date : " May 10, 2025"
5+ documentclass : texMemo
6+ mainfont : " fbb"
7+ header-includes : |
8+ \usepackage{graphicx}
9+ \memoto{Recipient Name}
10+ \memofrom{Dennis Yi Tenen}
11+ \memosubject{Memo 1: On Study Design in Computational Humanities}
12+ \memodate{\today}
13+ \memologo{\includegraphics[width=0.3\textwidth]{cunil-logo.png}}
514---
615
716Reading Thad Dunning's * Natural Experiments in the Social Science* (Cambridge, 2012) I am
@@ -15,7 +24,7 @@ This approach seems particularly well-suited for computational study in the huma
1524"the veracity of causal and statistical assumptions that are often difficult to explicate
1625and defend — let alone validate." The natural experiment approach seeks to shift reasoning
1726about such assumptions from the statistical modeling part of the research process, expressed
18- mathematically, to the design process, expressed in the logic of the world observed. "With
27+ mathematically, to the design process, expressed in the logic of the world observed: "With
1928natural experiments, it is the research design, rather than the statistical modeling, that
2029compels conviction."
2130
@@ -44,10 +53,12 @@ about the process that gives rise to observed data (106)." For me, here finally
4453subtle but crucial point of his argument: all of the above remains true not just for natural
4554experiments, but for strong research study design in computational humanities and social
4655sciences more generally. Christopher H. Achen makes a similar point in his wonderful paper on
47- "Garbage-Can Regressions," arguing for a more a "sophisticated simplicity" in study design and
48- a more "creative engagement with the data."
56+ "Garbage-Can Regressions," arguing for "sophisticated simplicity" in study design, engaging
57+ more "creatively" with the data.
4958
50- The "study-design" mindset fits well with my organic inclinations as a humanist. I don't
51- normally reason by data manipulation. The vagrancies of culture force me to think contextually:
52- in terms of processes, timelines, relationships, narratives. And I would like to remain in that
53- realm as long as possible when doing computational research.
59+ The study-design mindset fits well with my organic inclinations as a humanist. I don't
60+ normally reason by data manipulation. Reasoning by data manipulation alone risks "cooking the
61+ books" in losing sight of the underlying social or linguistic dynamics. The vagrancies of
62+ culture force me to think contextually: in terms of processes, timelines, customs, genres,
63+ relationships, narratives, etc. And I would like to remain firmly grounded in that realm when
64+ doing computational research.
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