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PNG Image - 789.2 KB - MD5: eac3ea3b6edfb59244bc6b43c2740072
Network Common Data Form - 88.3 MB - MD5: 1af551fc7abad1044df0970cc8699f12
PNG Image - 1.7 MB - MD5: ee97ff4fea3c62e0b628f1c5aab6c23f
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Hierarchical Data Format - 1.5 MB - MD5: df5904e6d3d4394661e061b53cde88bb
Apr 22, 2026 - University of South-Eastern Norway
Barahmand, Zahir, 2026, "Supplementary data for: A systems thinking governance framework for large-scale sustainability synthesis", https://doi.org/10.18710/NZHGW3, DataverseNO, V3
This dataset supports the paper “A Governance-Aware Systems Thinking Architecture for Sustainability at Scale.” The study addresses a key challenge in large-scale sustainability research: how to ensure transparency, consistency, and auditability when integrating heterogeneous evidence and systems thinking approaches. The paper introduces STAI³RS, a...
ZIP Archive - 25.5 KB - MD5: a388c42da67e268fabc874d876aa9f79
This folder contains framework documentation for STAI³RS (Scalable, Transparent, Analytical, Interpretable, Reliable, Reproducible, Robust, and Systematic) governance principles and their derivation from established systems thinking traditions. Materials support the theoretical foundation and governance architecture of the paper "A Governance-Aware...
ZIP Archive - 182.6 KB - MD5: 45b7f300f0966fcd727067a3f94beefe
This folder contains NEW computational transparency materials for the EcoStrategic Index (ESI) feedstock evidence-mapping case study. While the case study was previously documented in narrative form (Table S2 in the main paper), this folder now provides complete calculation workbooks, raw data, methodology documentation, and reproducible formulas d...
Apr 21, 2026 - Western Norway University of Applied Sciences
Venås, Gizem Ateş, 2026, "Replication Data for: Fostering Public Acceptance of Robotics Through Inclusive HRI Experiments: An Empirical Study", https://doi.org/10.18710/DDTVRD, DataverseNO, V1
Study Overview: Human-Robot Interaction (HRI) Methodology: In this study, we used a two-step surveying approach to observe the change in users' opinion about robotics and HRI via a physical experiment. 31 participants completed pre- and post-experiment surveys after a physical collaborative lifting task with a UR5e cobot. User Perception Questionna...
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