Workshops · For institutions VOL. 02 / 2026

Workshops for scholarship in the era of AI

Bring the people who read, review, teach, and produce research up to speed on what AI changes — and what it doesn’t. Practical, hands-on sessions built on the same expert-review discipline behind the Latent Scholar record.

Delivered online to universities, departments, and research institutes, and tailored to your field and level. Each engagement is scoped and quoted per institution.

Every workshop Delivered online Live & interactive Tailored to your field Led by the LS editorial team
01 The workshops

Four sessions, one throughline

Each workshop teaches the same core skill in a different setting: telling the difference between work that holds up and work that only looks like it does. Mix and match, or run one as a standalone session.

01 Reviewers · Researchers

Reviewing articles in the era of AI

How to read and judge a paper an AI wrote — where it holds up, and where it quietly breaks under an expert eye.

What you’ll cover
  • Spotting fabricated or mismatched citations
  • Judging whether a method would reproduce
  • Fluent structure vs. real substance
  • Writing a verdict that stands as record
Half-day · hands-on session
02 Educators · Departments

Teaching in the era of AI

Turn AI from a threat to academic integrity into material your students learn to evaluate with a critical eye.

What you’ll cover
  • Assignments AI can’t quietly complete
  • Peer review of AI papers as a class exercise
  • Talking to students about honest AI use
  • Assessment that rewards judgment
Half-day · hands-on session
03 Editors · Review committees

Evaluating & detecting AI-generated work

Practical methods for telling AI-generated scholarship from human work — and documenting what you find, transparently.

What you’ll cover
  • Reading provenance & knowledge-cutoff signals
  • Verification workflows for citations & data
  • What detection tools can and can’t do
  • Building a transparent evaluation trail
Half-day · hands-on session
04 Labs · Research institutes

Responsible AI in the research workflow

Where AI genuinely helps in research — and the guardrails that keep the work trustworthy and reproducible.

What you’ll cover
  • Deciding where AI belongs in a project
  • Recording provenance and parameters
  • Disclosure norms for AI-assisted work
  • Team guidelines you can actually adopt
Half-day · hands-on session
02 Who they’re for

Built for the institutions doing the work

We work with academic and research organizations to shape each session around your people, your field, and the questions your community is actually facing.

Every workshop is delivered online, so a department in one country and a lab in another can join the same room. Tell us who’ll be there and we’ll pitch the level accordingly.

Universities & departments

Faculty development days, graduate training, or a single seminar for a program. We’ll align the session to your discipline and teaching context.

Research institutes & labs

Team-wide sessions on evaluating AI output and using it responsibly in real projects — with guidelines your group can adopt afterward.

03 · Request a workshop

Tell us who’s in the room

There’s no fixed price list — every workshop is scoped and quoted per institution. Send us a note with the details below and we’ll come back with a plan and a quote.

Your institution Which workshop(s) Approx. group size Preferred timing
Requests route through our Contact page — put “Workshop request” in the subject line.