The researchers developed a computerized algorithm to estimate construction costs more accurately using historical data. Traditional methods were not effective because they relied on fixed data. By analyzing trends in cost data, statistical models can provide quicker and more reliable estimates. The algorithm uses a method called Monte Carlo simulation to generate a range of possible total costs based on past cost distributions.