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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

A. Haro-Sarango

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Open access Aug 2026

Open Hydroclimatic Data and Iterative Machine Learning for River Discharge Forecasting in Babahoyo, Ecuador: Benchmarking, Uncertainty, and Operational Limits Without In Situ Validation

This study evaluates the potential and limitations of open/model-derived hydroclimatic data for multi-horizon river discharge forecasting in Babahoyo, Ecuador. A quantitative, applied, retrospective longitudinal design used daily data for 2017–2026. The discharge target is the GloFAS v4 seamless product—reanalysis unti...

Rolando Licapa-Redolfo, A. Haro-Sarango, Persi Vera-Zelada et al. · 0 citations
Review Open access Aug 2026

Generative AI in education: A Human–AI pedagogical agency framework for learning, cognition, and ethics

This article proposes the Human–AI Pedagogical Agency Framework (HAPAF), composed of five interacting layers: epistemic positioning, learner agency, interaction design, verification, and governance, which reframes effective GenAI integration as an agency-preserving pedagogical design problem rather than a tool-adoption...

A. Haro-Sarango · 0 citations

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