COMPUTATIONAL STUDYAuditing Predictive Coverage in Automated Property Valuation: A Reproducible Study of 414 Transactions
Amelia Brooks Editorial pseudonym
Automated valuation models are often assessed by point-prediction error, yet valuation oversight also requires checking whether prediction intervals achieve their advertised uncertainty level. This computational study reports a completed secondary analysis of a public residential real-estate dataset containing 414 transactions from Sindian…
READ →CONCEPTUAL RESEARCHRisk-Calibrated Construction Schedule Forecasting
Maksym Tkachenko Editorial pseudonym
Construction schedule forecasting is often expected to do two jobs at once: estimate when work will finish and indicate how much confidence should be placed in that estimate. The construction studies examined here show that schedule risk can be represented through probabilistic dependencies, sequential progress dynamics, and uncertainty explored…
READ →RESEARCH PROTOCOLIncrementality Testing for AI-Assisted Real Estate Advertising: A Conceptual Research Protocol
Anna Belova Editorial pseudonym
AI-assisted real estate advertising is increasingly used to generate targeting, copy, and creative variants, yet the presence of algorithmic assistance does not itself establish incremental value. This protocol defines a bounded causal framework for testing whether AI-assisted advertising produces measurable lift beyond baseline targeting or…
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