Global Research Collaboration

Areas for collaboration

Science and computational research: the role of human function as an organizing principle, UOHF semantics, HFWM multiscale representation, coordination of domain models, and temporal state updates. Professional use-case evaluation: functional assessment, rehabilitation and movement tasks, longitudinal records, feedback from interventions, and comparative study design. Education and professional development: shared human-function methods, courses, case assessments, and instruction. Products and interoperability: exploration of authorized connections to health records, rehabilitation workflows, movement data, wearables, and personal AI systems under explicit governance.

Why interdisciplinary collaboration is essential

A person does not become a different individual when moving between specialties, locations, or software products. Each institution contributes useful domain knowledge and has its own evidence and practice boundaries. Productive collaboration does not require replacing those models. It asks how verifiable functional relations can make the results of different models intelligible and actionable for the same person over time.

A clear starting point for each project

A good proposal identifies the research question or use case, intended population, available data and authorizations, comparison methods, measurable outcomes, responsibilities, intellectual-property arrangements, privacy and ethical governance, and expected milestones. Work involving clinical care or patient information requires appropriate organizational review and safeguards. In the absence of independent results, a proposed application must not be described as proven effective.

Exploring a future human-function protocol

One long-term research direction is a reusable whole-person computational specification and a human-function interoperability protocol. Candidate components include person and task identifiers, typed semantic relations and versions, longitudinal states, demands and capacities, actual engagement, observed consequences, provenance, consent, and cross-system mappings. The goal welcomes open discussion and reproducible interoperability experiments. This is not an already released, internationally adopted, or mandatory global standard.

Official contact and research materials

Global research, technology, product, and education inquiries: movetips@qq.com. Research inquiries may also refer to the publicly accessible HFWM Collaboration document. Please briefly identify your organization, question, proposed scope, and verification pathway. Do not send private member health data, login credentials, or unauthorized materials by ordinary email.

We welcome supporting evidence, competing models, and reproducible challenges to human function as a computational organizing principle. Research collaboration starts with open questions, clear boundaries, and concrete tests.