Notes on historical project knowledge, missing scope, and the questions behind more useful bid review.
PUBLISHED RELATED WORK · CONFERENCE PAPER
Identifying Missing Bid Items in Transportation Construction Projects Using K-Nearest Neighbor Model
Amir Hossein Oliaee, Ashrant Aryal, and David Jeong · Computing in Civil Engineering 2025 · Published January 2026
The study
The researchers used similar historical projects to identify potentially missing bid items. The publisher’s abstract describes 19,865 TxDOT construction and maintenance projects from 2013–2023. A Jaccard-based nearest-neighbor approach performed best among the tested similarity methods.
Why it matters to subcontractors
It suggests a useful question: can previous work help an estimator notice scope worth checking in a new package? Applying that idea to trade-specific documents requires separate evaluation.
What it does not establish
This study concerns transportation projects. Its findings do not establish performance for MEP trade packages or validate AwardEL. This note summarizes the publisher’s abstract, not a full-text evaluation.
Learning from Past Change Orders: Precedent-Grounded Scope-Gap Detection in Subcontractor Bid Packages
Jawad Bin Rashid · Working title · Unpublished study design
The research question
Can relevant historical change-order evidence help an AI reviewer identify actionable omissions and trade-scope conflicts in a subcontractor’s bid package, compared with reviewing the same package without that history?
The proposed comparison
Compare the same AI reviewer with and without relevant historical cases, alongside simpler retrieval methods. Independent reviewers would assess whether warnings are supported by the bid-date documents and useful for pricing or clarification.
Current status
The study is being developed with a subcontractor focus. The saved protocol is a research design, not a completed experiment. Results, novelty, and applicability to MEP packages remain open questions. No findings or peer-review status are claimed.