Call for Collaboration
Advancing Multimodal Clinical Biofeedback Through Interdisciplinary Partnership
The Digital Mirror has matured from an initial engineering prototype into a comprehensive, clinician-governed multimodal research suite. As the platform prepares for Institutional Review Board (IRB) evaluation, clinical spatial EEG array expansion, and controlled human validation studies, we are seeking partnerships with academic institutions, clinical researchers, and ethical review committees to evaluate the system's clinical efficacy and hardware safety.
We are specifically looking to collaborate with domain experts in the following areas:
1. Clinical Psychology, ACT Practitioners, and Psychometric Researchers
To ensure the system strictly adheres to therapeutic boundaries, we invite licensed clinicians and psychotherapy researchers to evaluate our "Cold Path / Hot Path" (Therapist-in-Control) governance workbench and "Session Zero" psychometric intake ecosystem. Collaborators will assist in evaluating pre-session concealment and disclosure readiness routing, stress-testing localized Acceptance and Commitment Therapy (ACT) cognitive defusion protocols, and refining algorithmic clinical grounding mechanisms for high-neuroticism profiles.
2. Computational Neuroscience, Spectral Parameterization, and EEG Spatial Mapping
As the project scales toward an 8-channel clinical spatial EEG array, we welcome collaboration from neuroscientists specializing in real-time craniofacial artifact rejection, topographical modeling, aperiodic (1/f) spectral parameterization, and spatial mapping of Frontal Alpha Asymmetry (FAA) and cortical phase synchrony. Expertise in these areas will help further validate our compiled microsecond digital signal processing (DSP) kernels and linear mixed-effects statistical pipelines.
3. Affective Computing and Multimodal Biometric Integration
Because the Digital Mirror unifies cortical neurotelemetry with non-invasive Facial Action Coding System (FACS) micro-expression tracking, eye-state and blink monitoring, vocal prosody analytics, Heart Rate Variability (HRV), and procedural visual biofeedback, we welcome partnerships with affective computing researchers studying cross-modal concordance between explicit self-report and implicit somatic–autonomic states.
4. Institutional Review Boards (IRB), Clinical AI Safety, and Ethics Committees
We are seeking institutional sponsors and ethics researchers to review the project's stringent clinical governance and data privacy architecture. We aim to rigorously demonstrate how our air-gapped local execution, automated clinical safety red-teaming benchmarks, local Named Entity Recognition (NER) transcript de-identification, and client-side AES-GCM / PGP encrypted vaults establish a robust standard for participant safety and privacy in AI-augmented clinical research.
Contact and Collaboration Inquiry
If your research or clinical practice aligns with the intersection of real-time multimodal biofeedback, cybernetics, and psychotherapeutic intervention, please submit an inquiry below to discuss potential collaboration, infrastructure review, or academic partnership opportunities with Paul Cockburn.