Fall 2026 Workshops
Last modified on September 10, 2026 • 3 min read • 443 words9/21/26 Introduction to Dartmouth Chat (Simon Stone) https://libcal.dartmouth.edu/event/17508652
9/22/26 Introduction to R: Setup, Reading in Your Data, and Functions (Katie Owers Bonner) https://libcal.dartmouth.edu/event/17508686
9/23/26 Researcher Profiles: Google Scholar, Orcid, and More (Abigail Murdy) https://libcal.dartmouth.edu/event/17508817
9/23/26 Technical Project Management (Sukdith Punjasthitkul) https://libcal.dartmouth.edu/event/17508806
9/24/26 What makes a good research question? (Emily Myers) https://libcal.dartmouth.edu/event/17508848
9/25/26 Getting Organized for Research (Lilly Linden) https://libcal.dartmouth.edu/event/17508951
9/28/26 Handwritten Texts to Data: New Developments in Handwritten Text Recognition (with or without AI) (Jeremy Mikecz) https://libcal.dartmouth.edu/event/17509062
9/29/26 Discover Granite: Secure Storage and Analysis for Protected Data (Sukdith Punjasthitkul) https://libcal.dartmouth.edu/event/17509087
9/29/26 Getting Started using the Discovery Cluster (John Hudson & Bill Hamblen) https://libcal.dartmouth.edu/event/17509236
9/30/26 Publishing Research: The Art of Journal Selection (Abigail Murdy) https://libcal.dartmouth.edu/event/17509244
10/1/26 Introduction to Exploring and Cleaning your Data (Katie Owers Bonner) https://libcal.dartmouth.edu/event/17509263
10/5/26 Copyright, AI, and the Future of Research: A Conversation with the Authors Alliance (Authors Alliance) https://libcal.dartmouth.edu/event/17509310
10/6/26 Getting Started with Python (James Adams) https://libcal.dartmouth.edu/event/17509348
10/7/26 Exploratory Data Analysis with R (Emily Myers) https://libcal.dartmouth.edu/event/17509387
10/7/26 Statistics for Research: Basics of Statistical Testing in R (Carly Bobak) https://libcal.dartmouth.edu/event/17509456
10/12/26 Making AI Useful: Skills and Knowledge Base Organization for Agentic Workflows (Simon Stone) https://libcal.dartmouth.edu/event/17509501
10/13/26 Transkribing Texts: Using Transkribus and Machine Learning to Transcribe Handwritten Texts (Jeremy Mikecz) https://libcal.dartmouth.edu/event/17509529
10/14/26 Publishing Research: The Art of Working with Publishers (Abigail Murdy) https://libcal.dartmouth.edu/event/17509549
10/15/26 Automating Workflows with n8n (Tim Meehan) https://libcal.dartmouth.edu/event/17509699
10/15/26 Introduction to Data Analysis and Google Sheets (Steve Solberg) https://libcal.dartmouth.edu/event/17509782
10/19/26 From Texts to Data: Building an AI-Assisted Handwritten Text Recognition Pipeline (Jeremy Mikecz) https://libcal.dartmouth.edu/event/17509833
10/20/26 Working with Data in Python (Katie Owers Bonner) https://libcal.dartmouth.edu/event/17509862
10/21/26 Introduction to Dartmouth’s Institutional Repository: Digital Commons (Abigail Murdy) https://libcal.dartmouth.edu/event/17509964
10/22/26 Hallucinations, misinformation, and bias: Understanding and evaluating AI outputs (Kelsey Sheaffer) https://libcal.dartmouth.edu/event/17510117
10/26/26 Bringing AI to your Workspace: An introduction to Desktop AI Agents (Tivon Luker) https://libcal.dartmouth.edu/event/17510126
10/27/26 File Transfer Workflows in Granite (Sukdith Punjasthitkul) https://libcal.dartmouth.edu/event/17510139
10/27/26 Introduction to Dartmouth Chat: Models, Settings, and Practical Workflows (James Adams) https://libcal.dartmouth.edu/event/17510150
10/28/26 Turning Documents into Data with R and LLMs (Emily Myers) https://libcal.dartmouth.edu/event/17510248
10/28/26 AI-assisted Data Exploration and Coding in Positron (Jing Qi) https://libcal.dartmouth.edu/event/17510336
10/28/26 Publishing Research: The Art of Dissemination (Abigail Murdy) https://libcal.dartmouth.edu/event/17510183
10/28/26 Statistics for Research: Correlation Analysis in R (Carly Bobak) https://libcal.dartmouth.edu/event/17512786
11/3/26 Data Visualization in Python (James Adams) https://libcal.dartmouth.edu/event/17512498
11/3/26 Linux & Networking Basics: From the Command Line to Troubleshooting (Ayuk Bakia & John Hudson) https://libcal.dartmouth.edu/event/17512510
11/4/26 Introduction to Exploratory Data Analysis with Python (Matt Rogers) https://libcal.dartmouth.edu/event/17512551
11/4/26 Statistics for Research: Introduction to Regression in R (Carly Bobak) https://libcal.dartmouth.edu/event/17512576
11/10/26 AI News Feed: Recent technical and ethical developments (Kelsey Sheaffer) https://libcal.dartmouth.edu/event/17512606
11/11/26 Parsing Publisher AI Policies (Abigail Murdy) https://libcal.dartmouth.edu/event/17512626
11/12/26 Voice-enabled AI Agent using Open Weight Models (Jonathan Crossett) https://libcal.dartmouth.edu/event/17512649