Complexity Explorer Santa Fe Institute

This course starts on 01 Jun 2021 8am UTC

Foundations & Applications of Humanities Analytics

Lead instructor: David Kinney & Simon DeDeo

About the Course:

The Foundations & Applications of Humanities Analytics course is aimed at a broad range of humanities scholars. The course aims to empower scholars in the humanities by eliminating the “black box” of computational text analysis. Participants will gain a theoretical and practical understanding of text analysis methods, and will learn how to extract content and derive meaning from digital sources, enabling new humanities scholarship.

This online course will comprise two modules. Foundations will impart conceptual skills and computational thinking through a study of the principles behind contemporary artificial intelligence. Applications will employ those skills to develop meaningful accounts of literary, historical, and cultural artifacts. A supplementary online tutorial will introduce the necessary steps to get started with Python programming and Jupyter notebooks.

The project Foundations and Applications of Cultural Analytics in the Humanities has been made possible in part by a major grant from the National Endowment for the Humanities: Exploring the human endeavor, under Federal Award ID Number HT-272418-20. Any views, findings, conclusions, or recommendations expressed in this course do not necessarily represent those of the National Endowment for the Humanities.

About the Instructor(s):

David Kinney studies epistemology, in particular, the selective acquisition of knowledge. His research applies the principles of probability theory to understand the causal structure of systems in scientific contexts, the formation of group beliefs, and the foundations of scientific reasoning. He has taught logic, philosophy of science, and political philosophy, among other subjects. In the Foundations & Applications of Humanities Analytics course, he will leverage his expertise in probability and information theory, helping students without a mathematics background achieve conceptual mastery.

Simon DeDeo leads the Laboratory for Social Minds at Carnegie Mellon University’s Department of Social and Decision Science, where his research group makes use of text sources—from French Revolutionary records and Enlightenment-era scientific communication to online conspiracy theorists and Harry Potter fan fiction—to define factors that influence how and when novel ideas emerge and become accepted. He has taught courses on cognitive and social science, large-scale social phenomena, and research methods in informatics and computing. He leads the major data science research practicum for students in the humanities, psychology, and economics at CMU. Within the FAHA project, he will provide expertise in the application of information-theoretic and machine learning techniques to case studies in literature and history.

How to use Complexity Explorer
Enrolled students:


Course dates:

01 Jun 2021 8am UTC to
30 Oct 2021 8am UTC


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