Enrolling now · Live online workshop
A 3-hour hands-on workshop on using AI agents across the research pipeline — literature discovery, code generation, experiment iteration, and modular paper writing — while keeping every claim and citation verifiable.
Curriculum
3 Hours of live teaching, in the order you'll use it on a real project.
What AI agents can and can't be trusted with across the research pipeline, and where a human checkpoint is non-negotiable.
Building an agentic search-and-summarise pipeline over arXiv, Semantic Scholar, and PubMed with citation verification.
Using Claude Code and GitHub Copilot to write, test, and debug experiment code faster.
Agentic loops for hyperparameter sweeps, logging, and result triage.
Drafting each IMRaD section with AI assistance, then assembling and voice-checking the full paper.
Catching hallucinated citations, fabricated numbers, and overclaimed results before they reach a reviewer.
Prompt patterns, MCP tools, and connecting agents to your own data and code safely.
What top journals and conferences require you to disclose about AI use, and how to stay compliant.
Outcomes
01
A working literature-discovery and summarisation pipeline you can reuse.
02
A checklist for catching hallucinated citations and claims before submission.
03
A drafted paper section produced and verified with an agentic workflow.
04
A compliant AI-use disclosure for your target venue.
Tools & frameworks you'll use
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