AWARE: Adaptive Human-Centred AI for Relational Ecosystem Assessment — Synthetic and Annotated Pseudocode Repository (Version 1.0)

<p dir="ltr">This dataset supports a manuscript in progress applying AWARE (<i>Adaptive Human-Centred AI for Relational Ecosystem Assessment</i>), an artificial-intelligence framework that models human–relational dynamics within complex care, sociotechnical, and organisational ecosystems. The repository includes synthetic data and annotated Python pseudocode reproducing the analytic workflow used in AWARE—covering data preprocessing, path estimation, RidgeCV regularisation, and network visualisation. These materials enable conceptual replication and peer review while maintaining the confidentiality of proprietary algorithmic components.</p><h3>Intellectual Property and Rights</h3><p dir="ltr">AWARE was conceived, designed, and developed by Dr Maria Alejandra Piñero de Plaza (https://orcid.org/0000-0001-5421-9604) as an independent intellectual creation. The framework’s analytic architecture and computational logic are protected under Flinders University’s intellectual-property and copyright policies, with author ownership retained where institutional rights are not exercised. This release provides an annotated Python-based pseudocode version of the analytic workflow for transparency and scholarly verification. Proprietary algorithmic syntax, functional sequences, and parameter configurations remain confidential to protect the author’s intellectual property while ensuring methodological reproducibility.</p><h3>Reuse Conditions</h3><p dir="ltr">Reuse, redistribution, or modification of these materials is not permitted without prior written consent from Dr Maria Alejandra Piñero de Plaza. The released pseudocode and synthetic data enable conceptual replication and analytic verification of the AWARE framework’s methodological structure. Requests for full executables, involving access to the complete algorithmic implementation, hyperparameter configurations, or proprietary computational logic, may be considered under a formal Material Transfer Agreement (MTA) or Non-Disclosure Agreement (NDA) approved by the author.</p><h3>Contact</h3><p dir="ltr">�� <a href="" rel="noopener" target="_blank">alejandra.pinerodeplaza@adelaide.edu.au</a><br>�� <a href="" rel="noopener" target="_blank">alejandra.pinerodeplaza@flinders.edu.au</a><br>�� <a href="" rel="noopener" target="_blank">alex1pinero@gmail.com</a></p><h3>Recommended Citation</h3><p dir="ltr">Piñero de Plaza, M. A. (2025). <i>AWARE: Adaptive Human-Centred AI for Relational Ecosystem Assessment — Synthetic Dataset and Annotated Pseudocode (Version 1.0).</i> Flinders University. Dataset and code repository. <a href="https://doi.org/10.25451/flinders.30412363" rel="noopener" target="_new">https://doi.org/10.25451/flinders.30412363</a></p>