Generative AI for Scholarship
Harvard Data Science Initiative (HDSI) & Faculty of Arts and Sciences (FAS)
A guide to all pages and resources on this site.
Course overview, schedule, and links to all three sessions.
Introduction to generative AI tools including Gemini, NotebookLM, and Gems.
AI-assisted Python coding with Google Colab, local Jupyter notebooks, and the Harvard RC cluster.
Agentic AI programming and data analysis from the command line using Claude Code.
Windows setup guide for Claude Code using PowerShell and Git for Windows.
Guided exercises for using AI tools effectively, paired with the Session 1 material.
Use Claude Code to analyze real thermal data from the Vera C. Rubin Observatory.
Reference solutions and walkthrough for the thermal data analysis exercise.
How to obtain and configure your HUIT API key for Claude Code and other Anthropic tools.
Step-by-step configuration of Jupyter AI (Jupyternaut) with Harvard's Bedrock proxy on Mac.
Step-by-step configuration of Jupyter AI (Jupyternaut) with Harvard's Bedrock proxy on Windows.
Install and configure the Claude Code VS Code extension with Harvard's HUIT Bedrock endpoint.
Running Jupyter notebooks with AI integration on Harvard's Research Computing cluster via Open OnDemand.
Detailed lab notebook documenting thermal data analysis of the Rubin Observatory primary mirror.
Machine learning analysis for predicting sunset temperatures from observatory thermal data.
Analytics dashboard, solution links, and other instructor resources.
Run-of-show, demo notes, discussion questions, and teaching tips for The Basics.
Run-of-show, teaching notes, and discussion points for The AI-Empowered Coder.
Run-of-show, installation troubleshooting, teaching notes, and solutions for Claude Code CLI.
PowerPoint slides for Session 1 workshop presentation.