#  \[DSG Workshop\] Understanding AI: A Practical Workshop for Humanities and Social Science Researchers, Part 2 

 



####  calendar\_today Date and Time 

 **April 3, 2026** 

 09:30AM - 02:00PM EDT 

####  pin\_drop Location 

 **Lamont B30**  



 

 [ Register Here arrow\_circle\_right ](https://libcal.library.harvard.edu/event/16244803) 

 



 

   ![AI workshop logo, with a stack of books, a globe, and a computer in front of a spherical network graph](/sites/g/files/omnuum11326/files/styles/hwp_1_1__360x360_scale/public/2026-03/understanding-ai-a-practical-workshop-for-humanities-and-social-science-researchers-day-1-2-2026-03-13.jpg?itok=hbtzmnAA) 

 

Artificial intelligence, large language models (LLMs), and machine learning (ML) are reshaping research across disciplines. This two-day workshop offers humanities and social science researchers a clear, accessible introduction to contemporary AI systems: what they are, how they differ from traditional computing, what they can—and cannot—do, and how to critically assess their outputs. Through guided demonstrations and hands-on exercises participants will gain a grounded understanding of the concepts behind today’s AI tools.

Day 1 focuses on conceptual foundations and hands-on exploration with off-the-shelf tools. Participants will see how training data, model limitations, and evaluation methods shape AI behavior, and will practice identifying common failure modes. Day 1 also introduces practical ways to use LLMs to support programming and technical work as a bridge to the more hands-on workflows of Day 2.

Day 2 shifts toward programming and applied workflows using open-source Python tools and pre-trained models (e.g., via Hugging Face), with an emphasis on choosing appropriate tasks, understanding what a model is doing, and evaluating results.

A self-paced online introduction to Python will be available for participants who want to learn or brush up on programming basics between the two workshop days.



 

 



 

 

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