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

This dataset supports a manuscript in progress applying AWARE (Adaptive Human-Centred AI for Relational Ecosystem Assessment), 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.Intellectual Property and RightsAWARE 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.Reuse ConditionsReuse, 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.Contact📧 [e-mail]📧 [e-mail]📧 [e-mail] CitationPiñero de Plaza, M. A. (2025). AWARE: Adaptive Human-Centred AI for Relational Ecosystem Assessment — Synthetic Dataset and Annotated Pseudocode (Version 1.0). Flinders University. Dataset and code repository. https://doi.org/10.25451/flinders.30412363本数据集支撑一篇正在撰写的手稿，该手稿应用了AWARE（Adaptive Human-Centred AI for Relational Ecosystem Assessment，自适应以人为中心的关系生态系统评估人工智能框架）——这一人工智能框架可对复杂医疗照护、社会技术及组织生态系统内的人际互动动态进行建模。本仓库包含复现AWARE分析流程的合成数据与带注释的Python伪代码，涵盖数据预处理、路径估计、RidgeCV正则化以及网络可视化环节。上述材料可支持概念复现与同行评审，同时兼顾专有算法组件的保密性。 知识产权与权属 AWARE由玛丽亚·亚历杭德拉·皮涅罗·德·普拉萨博士（https://orcid.org/0000-0001-5421-9604）独立构思、设计与开发，属于独立智力成果。该框架的分析架构与计算逻辑受弗林德斯大学知识产权与版权政策保护，在未行使机构权利的情况下，著作权归作者所有。本次发布提供了带注释的Python伪代码形式的分析流程，以提升透明度并支持学术验证。专有算法语法、功能序列与参数配置仍处于保密状态，以保护作者的知识产权，同时确保方法学可复现性。 重用条件 未经玛丽亚·亚历杭德拉·皮涅罗·德·普拉萨博士事先书面许可，不得对本材料进行重用、再分发或修改。本次发布的伪代码与合成数据可支持AWARE框架方法学结构的概念复现与分析验证。若需获取完整可执行文件（包括完整算法实现、超参数配置或专有计算逻辑的访问权限），可通过作者批准的正式材料转让协议（Material Transfer Agreement, MTA）或保密协议（Non-Disclosure Agreement, NDA）提出申请。 联系方式 📧 [e-mail] 📧 [e-mail] 📧 [e-mail] 推荐引用格式 皮涅罗·德·普拉萨, M. A. (2025). AWARE：自适应以人为中心的关系生态系统评估人工智能框架 — 合成数据集与带注释伪代码（版本1.0）. 弗林德斯大学. 数据集与代码仓库. https://doi.org/10.25451/flinders.30412363