Model Perspective
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Model Perspective

Insights, knowledge, and enjoyment from a mathematical modeling researcher and educator. Hosted by Haihua Wang, a modeling instructor and author of "Clever Use of Chat for Mathematical Modeling", "Modeling: The Mathematics of Thinking", "Mathematical Modeling Practice: A Hands‑On Guide to Competitions", and co‑author of "Mathematical Modeling: Teaching Design and Cases".

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Latest from Model Perspective

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Model Perspective
Model Perspective
Jan 28, 2026 · Mobile Development

Master HarmonyOS App Development: From Zero to Your First Hello World

This guide walks you through the complete HarmonyOS mobile development workflow—from understanding the platform’s layered architecture and core ArkTS/ArkUI concepts, to setting up DevEco Studio, creating a Hello World app, managing UI, state, routing, data, and finally packaging and publishing the app.

ArkTSArkUIDevEco Studio
0 likes · 12 min read
Master HarmonyOS App Development: From Zero to Your First Hello World
Model Perspective
Model Perspective
Jan 19, 2026 · Fundamentals

Can Poisson Modeling Predict China U23’s Chances Against Vietnam?

Using a Poisson‑based statistical model, the article quantifies China U23’s and Vietnam U23’s probabilities of reaching the final of the 2025 Asian Cup by analyzing past match data, estimating attack and defence strengths, adjusting for opponent quality and penalty‑shootout skill, and performing sensitivity analysis on key variables.

Poisson distributionU23 Asian Cupfootball analytics
0 likes · 11 min read
Can Poisson Modeling Predict China U23’s Chances Against Vietnam?
Model Perspective
Model Perspective
Jan 14, 2026 · Fundamentals

Why Some Celebrity Gaffes Explode: An SIR Model of Social Media Virality

The article applies the epidemiological SIR model to explain how a celebrity's comment about household income sparked a massive online controversy, analyzing the high transmission rate, low recovery rate, and resulting risk factors that kept the story alive far beyond a typical news cycle.

SIR modelinformation diffusionrisk assessment
0 likes · 7 min read
Why Some Celebrity Gaffes Explode: An SIR Model of Social Media Virality
Model Perspective
Model Perspective
Jan 13, 2026 · Fundamentals

When Is Quitting Your Tech Job Rational? A Simple 2.8% Success Threshold

The article builds a quantitative decision model to evaluate whether leaving a high‑pay tech job at age 30 is impulsive or rational, showing that a success probability above 2.8% makes the move mathematically favorable, while highlighting risk perception, age effects, and personal circumstances.

careerdecision makingjob transition
0 likes · 11 min read
When Is Quitting Your Tech Job Rational? A Simple 2.8% Success Threshold
Model Perspective
Model Perspective
Jan 8, 2026 · Information Security

Why Scammers Make Their Scripts Deliberately Stupid – The Hidden Economics of Phone Fraud

The article explains how telecom scammers deliberately use low‑quality, obvious scams because economic modeling shows that such “stupid” scripts maximize profit by filtering victims, leveraging the law of large numbers, behavioral economics, and AI deep‑fakes to sustain a mathematically optimal fraud system.

AI deepfakeGame TheoryInformation Security
0 likes · 11 min read
Why Scammers Make Their Scripts Deliberately Stupid – The Hidden Economics of Phone Fraud
Model Perspective
Model Perspective
Jan 5, 2026 · Fundamentals

How to Turn Gut Feelings into Precise Decisions Using Boolean Algebra

The article explains how everyday intuition can be formalized with Boolean algebra by breaking down vague judgments into binary variables, applying logical operations and laws, and using a step‑by‑step methodology to create transparent, repeatable decision models for jobs, medical diagnosis, risk assessment, and product selection.

boolean algebradecision makingformalization
0 likes · 9 min read
How to Turn Gut Feelings into Precise Decisions Using Boolean Algebra
Model Perspective
Model Perspective
Dec 28, 2025 · Fundamentals

Mastering PID Control: Theory, Tuning, and MATLAB/Simulink Implementation

Explore the core principles of PID control—from proportional, integral, and derivative actions that eliminate error—to practical parameter tuning methods and step-by-step MATLAB/Simulink simulations, including code snippets and block diagrams that illustrate how to model, discretize, and validate a PID controller for real‑world systems.

AutomationMATLABPID
0 likes · 11 min read
Mastering PID Control: Theory, Tuning, and MATLAB/Simulink Implementation