💡 Claude-Powered Academic Research: From Ideation to Publication
🎓 Instructor: Jeffrey Dotson, Ph.D.
📅 July 21 – July 24, 2026
💻 Live sessions via Zoom (ET – New York time)
AI tools like Claude are rapidly transforming academic research workflows. This seminar provides a structured, hands-on approach to integrating AI into the research process—without compromising rigor, transparency, or reproducibility.
The focus is not on abstract theory, but on practical, reproducible research workflows that can be directly applied to real projects.
🔍 What you will learn
By the end of the seminar, participants will be able to:
- Refine and develop research questions using AI assistance
- Build replication-ready and well-structured codebases
- Scrape, clean, and organize research data
- Support statistical analysis workflows
- Produce high-quality academic writing with AI support
🧰 Tools & workflow
The course includes practical use of:
- Claude Projects
- Claude Cowork
- Claude Code
- GitHub for reproducible research workflows
📌 A Claude Pro or Team subscription is required for full participation.
🎯 Focus areas
A strong emphasis is placed on:
- Research transparency
- Reproducibility
- Responsible use of AI in academic work
- Maintaining strong scholarly judgment
👨🏫 Instructor: Jeffrey Dotson, Ph.D.
Associate Professor of Marketing, Fisher College of Business, The Ohio State University
Other AI Horizons Seminars?
A strong lineup of upcoming short courses focused on AI, LLMs, and modern research methods is available this year. These seminars are designed for researchers who want to integrate AI tools into rigorous, reproducible workflows across data analysis, experiments, and academic writing.
🧠 AI Horizons Seminar Series (2026)
📊 AI Tools for Data Analysis: From Chatbots to Coworkers
📅 June 15–16
👨🏫 Instructor: Boris Nikolaev
🌍 Using LLMs for Social Science Research
📅 July 7–10
👨🏫 Instructor: Ethan C. Busby
🧪 Using AI to Build Better Experiments
📅 July 14–17
👨🏫 Instructor: Charles Crabtree
🤖 Claude-Powered Academic Research: From Ideation to Publication
📅 July 21–24
👨🏫 Instructor: Jeffrey Dotson
⚙️ AI Agent-Driven Research Workflows
📅 August 4–7
👨🏫 Instructor: Charles Crabtree
📈 Longitudinal Data Analysis Using R and LLMs
📅 August 11–14
👨🏫 Instructor: Stephen Vaisey
🔍 AI-Enhanced Audit and Correspondence Experiments
📅 August 18–21
👨🏫 Instructor: Charles Crabtree
🧩 Automatic Item Generation and Validation
📅 August 20–21
👨🏫 Instructor: Hudson Golino
📄 Turn Documents into Data with AI
📅 September 10–12
👨🏫 Instructor: Karl Rohe
📊 Multilevel and Mixed Models Using R and LLMs
📅 September 16–18
👨🏫 Instructor: Stephen Vaisey
🎓 AI Agents for Teaching
📅 September 24–26
👨🏫 Instructor: Charles Crabtree
📚 Text Classification with LLMs in R
📅 October 7–9
👨🏫 Instructor: Hudson Golino
💡 These seminars collectively focus on:
- AI-assisted research workflows
- Experimental design and causal inference
- Statistical modeling with R and LLMs
- Reproducible and transparent research practices
- Practical applications of generative AI in academia
