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<font style="color:#2454FF">Designing Syllabi in the age of AI</font>
![[DALL·E 2023-03-14 11.22.51 - A university course poster in the style of synthwave.png]] <font style="color:#2454FF"> With and against a note on approaches to A.I.</font> ![[Screenshot 2023-04-05 152941.png]] shifts (scale, speed, access) hard to ignore critical AI established research field and ethical issues with the use of corporate generative AI teachers and pedagogy still at the core
Apr 5, 2023Acknowledgements
The NEH CARES DH workshop sessions and accompanying materials have been made possible in part by a major grant from the National Endowment for the Humanities: NEH CARES. Any views, findings, conclusions, or recommendations expressed in this workshop do not necessarily represent those of the National Endowment for the Humanities. Certain materials and resources in the workshop and in this companion have been inspired by the work (definitions of terms, code, tutorials, projects) of several scholars and developers working in the field of text analysis and publishing in digital humanities. A full list can be found in "References" and in each section of this document. Here are some key projects that turned out to be a great source of information and inspiration: Multilingual NLP Resources by Quinn Dombrowski: https://github.com/multilingual-dh/nlp-resources The GO:DH Minimal Computing group
Dec 9, 2020Text (as) data: digital tools and methods for text analysis
This document is a companion to the NEH CARES DH Workshops "Text (as) Data: Digital Tools and Methods for Text Analysis". It is meant as a live, collaborative, notes document that will provide context, present examples, and key concepts in digital tools and methods for creating, compiling, and analyzing texts. Instructor: Dimitris C. Papadopoulos, NEH CARES DH Instructional Technologist, Division of Humanities and the Arts, the City College of New York *The NEH CARES DH workshop sessions and accompanying materials have been made possible in part by a major grant from the National Endowment for the Humanities: NEH CARES Any views, findings, conclusions, or recommendations expressed in this workshop do not necessarily represent those of the National Endowment for the Humanities.
Nov 10, 2020References
Creating and compiling textual data “Data Prep and Cleaning | Digital Humanities.” Accessed October 27, 2020. https://digitalhumanities.berkeley.edu/data-prep-and-cleaning. McGinnis, Scott Paul. “All Mimsy Were the Borogoves: A Brief Introduction to the Unicode Standard | Townsend Center for the Humanities.” Accessed October 27, 2020. https://townsendcenter.berkeley.edu/blog/all-mimsy-were-borogoves-brief-introduction-unicode-standard. Padilla, Thomas. “Getting Started with OpenRefine.” Accessed October 27, 2020. http://thomaspadilla.org/dataprep/. “TextCleanr - Text Cleaner Tool.” Accessed October 27, 2020. http://www.textcleanr.com/#. “Bookworm HathiTrust.” Accessed October 27, 2020. https://bookworm.htrc.illinois.edu/develop/#.
Nov 10, 2020
HackMD