About the method & author
DDSRF — Dual-Domain Subjective Reality Formation. A school-neutral language of clinical integrability. Before the intervention — read whether it can land.
Focus of work
For nine years Shiraz Mamedov has taught a university course of his own design — its themes chosen and revised by him each year — that moves from the biology of the brain through depth psychology, symbol and culture, to the formation of subjective reality. The throughline is the bridge between mechanism and meaning: how the brain gives rise to symbol, and how meaning, in turn, builds a person's reality. DDSRF and clinical integrability are where that line of thought reaches its clinical form — one strand of the work, not the whole of it. In the clinic his interest centers on case formulation, sequence, and the conditions under which an intervention becomes usable. The DDSRF model is addressed to clinicians, supervisors, teachers, and researchers across therapeutic orientations.
Why clinical integrability
Clinical integrability addresses a problem every experienced clinician meets: a theoretically correct intervention that still does not land. DDSRF makes that problem readable — what is premature, and what must become possible first.
What DDSRF is for
DDSRF is a shared language that works alongside any method: a way to read, before intervening, whether the next move can become integrable now.
What DDSRF is not for
DDSRF is not a therapy school, not a diagnostic system, not a treatment protocol, and not an AI clinical-formulation engine. It is not for emergency use, diagnosis, treatment prescription, or patient-facing crisis support.
Book, Method Atlas & tool
The book Clinical Integrability — the DDSRF Method and Atlas — is the source text. The site is the public home; the tool is for daily, pre-intervention reading. See the book →
Boundaries
DDSRF supports clinical thinking; it does not replace professional judgment, supervision, diagnosis, or emergency protocols. It is not a diagnosis, not a treatment protocol, and not an AI decision-maker.