An open-source AI reasoning framework that uses dialectics, semantic graphs, and polarity management to drive LLMs toward objective synthesis and advanced human-AI collaborative decision-making.
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Updated
Oct 13, 2026 - Python
An open-source AI reasoning framework that uses dialectics, semantic graphs, and polarity management to drive LLMs toward objective synthesis and advanced human-AI collaborative decision-making.
A decision support tool for greenhouse design. Created as a part of the 4th year capstone design course at the University of Toronto Engineering Science Energy Systems specialization.
Machine learning classification on visa application data to predict approval likelihood. Supports immigration consultancies to streamline review and decision processes.
Using Agent-Based Modeling to compare corrective actions for Listeria contamination in produce packinghouses
MIDAS (Minimax-based Interactive Dynamic Assessment Simulation): A professional intelligence suite for strategic conflict and resilience modeling.
A framework for standardizing correspondence-driven account identification through signal normalization, intelligent search generation, confidence scoring, and auditable decision support.
Replication code and data for Arouna, A., J.D. Michler, W.G. Yergo, and K. Saito. 2021. “One Size Fits All? Experimental Evidence on the Digital Delivery of Personalized Extension Advice in Nigeria.” American Journal of Agricultural Economics 103 (2): 596-619.
A modeling framework to optimize resource allocation in Arctic oil spills
Voluntary contribution scenarios with pay-equity analysis — modeling alternatives to hospital workforce reductions.
Examining patterns of persistent Listeria contamination in packinghouses using Agent-Based Models
Makes judgment structure in code visible so humans can maintain it over time.
This repo contains the Qualitative Network Model analysis for a UW EarthLab/Nature Conservancy Water 100 collaboration project.
Route Awakening designed an executive‑grade Supply Chain Forecast Confidence Platform that shifts forecasting from a black‑box prediction exercise to confidence‑led decision support. Their work focuses on explaining why forecasts change, quantifying confidence and risk, and guiding Programme Directors and CFOs towards clear, defensible act...
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