Original research published for partner institutions and the broader field. Applied case work documented with measurable outcomes. Authority analysis written to be cited and operationalized.
Two foundational publications anchor the Lab's contribution to the field — the PR 3.0 series naming the structural transformation in public relations, and the reclassification essay that reframes fifty years of behavioral science.
The Lab's foundational analysis of the structural transformation reshaping public relations — naming the shift from publicity (PR 1.0) and platform reputation (PR 2.0) to AI-mediated trust architecture (PR 3.0). Establishes signal architecture, the AI Blind Spot, and the new operating model for working communicators.
Read the Series on SubstackThe Lab's reclassification of the cognitive bias canon — establishing biases as adaptive instincts on calibrated spectra rather than cognitive defects, with operational implications across leadership, training, regulation, and AI ethics.
Read the EssayA featured industry analysis on why most AI-driven persuasion strategies are failing — and what the Lab's research suggests will replace them. Published as a foundational piece on the affective limits of automated influence.
Read on ProgressThe Lab's ongoing public-facing research publication. Weekly essays where new analysis, frameworks, and applied research findings are published — the home of the field as it is being built.
SubscribeEach case below is from a real Lab engagement with measurable outcomes documented at the time. Detailed case studies are available to qualified prospective partners under NDA.
In addition to applied client work, the Lab maintains an ongoing publication program — quarterly briefs, white papers, and field analysis distributed to research partners, member institutions, and the broader profession.
A diagnostic framework for the systematic ways AI systems are mis-representing organizations to their own audiences — and the structured response leadership teams can deploy. Forthcoming Q3 2026.
An applied ethics framework for distinguishing legitimate persuasion from exploitative manipulation — operationally usable for product, marketing, regulatory, and AI governance teams. Forthcoming Q4 2026.
Foundations, research consortia, and academic institutions interested in joint research, citation, or co-publication can begin the conversation here.