.....utilizing our unique skill sets? I had received my PhD several years ago. My concentration was complex analysis, more specifically, complex dynamics, and I still publish an article or two on the subject. Lately, I have become very interested in causal inference and tangentially econometrics) this is a big leap for me, I hated statistics, I hated uncertainty, I like my math shiny and clean (and pretty, if you're aware of complex dynamics object). If you read my immediate preceding answer to a question, you might understand where my statistics aversion stems from, well, stemmed from. In addition to crazy teaching and administrative duties, I have begun a deep journey into the world of causality, - DAGs, Instrumental Variables, Counterfactuals, Colliders, d-Separation and other aspects of Structural Causal Modeling. As a mathematician I am sold (Thanks, Judea Pearl). Although this methodology has been suggested for social sciences, it still is very rarely used, and I would love the opportunity to use in an actual observation study (non or quasi-experimental at most). If the study related to teaching, learning and cognition, that's a extra. So, if anyone is looking to team with a mathematician to produce a real rigorous quantitatively driven social science research paper, ideas are welcome!.
I am curious and starting M.A. program (Interdisciplinary Studies) February 2016. My thesis and research proposal is epistemological in nature. Influence of new scientific understanding (Chaos, Complexity) and understanding the relationship between needs of capital in 21st century on social relations/institutions. How those needs percolate into classroom pedagogy (project/ team based) and social relations in workplace, family culture. I was thinking of using Natural Language Processing analysis of text content in education, business management to map theme to changes in thinking supported by new science/new economy. [email protected]
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