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Pre-built decision models serving as the base for Marketplace subscription apps.

FAIR cyber risk quantification toolkits, agent-based control simulation (FAIR-CAM), threat event frequency estimator (PyPI), LLM classification validator (PyPI), Monte Carlo risk engine with IRIS benchmarks.

Python SDKs for Nextmv

This article reframes pricing as a negotiation rather than a prediction, showing how price emerges from tensions between product reality, market dynamics, and buyer behavior. It introduces negotiation-aware ML, value decomposition, and equilibrium modeling to build transparent, human-aligned pricing systems.

End-to-end café inventory project: clean transaction data, build daily item-level demand series, backtest strong baseline forecasters, generate next-30-day demand forecasts, convert forecasts into safety stock + reorder points, and validate policies with Monte Carlo stockout-risk simulations, wrapped in a Streamlit dashboard.

A curated list of awesome Operations Research frameworks, solvers, libraries, software, books, courses, papers, datasets, conferences, and learning resources.

A comprehensive ride-pooling simulation engine featuring VRP optimization (OR-Tools), dynamic pricing algorithms and ML-based demand prediction.

Reusable decision-science utilities for security: Monte Carlo, Bayes, Survival, VoI, light causal helpers.

Reproduction code for "Taking Advice from ChatGPT"

Decision Science🔬/决策科学

Holds data documentation

Data Science Case Study: To model the price of cars with the available features to understand the pricing dynamics of the car market and help management in making informed decisions regarding optimal business strategies and car designs.

A simple command line application that continuously exports data from Zendesk

Elite decision intelligence platform — make better decisions with science, not gut feelings

Explainable operational risk intelligence for multi-stage supply chains, combining geopolitical risk signals, D1–D4 risk propagation, counterfactual analysis, and human-in-the-loop decision support.

Professional reference textbook on applied econometrics, causal inference, and decision science for real-world economic decision-making. Authored by an applied economist; companion repository to the full textbook PDF.

Why external signals mislead product calls: across 36 subscription features, 69% that companies kept backing still showed >80% search decay. Separates what the public record shows from what it can prove.

Data Science Case Study: To help X Education select the most promising leads (Hot Leads), i.e. the leads that are most likely to convert into paying customers.

🏙️ 2buyornot2buy: The Parker Luxury Condo Buy Signal Machine Learning and In-Depth Financial Analysis. Turning a rainy day from angst to analytical joy. This is what happens when you approach real-world life decisions analytically, you know, just for fun.