WASHINGTON - October 7, 2008 - The most extensive government report to date on whether terrorists can be identified through data mining has yielded an important conclusion: It doesn't really work.

A National Research Council report, years in the making and scheduled to be released Tuesday, concludes that automated identification of terrorists through data mining or any other mechanism "is neither feasible as an objective nor desirable as a goal of technology development efforts." Inevitable false positives will result in "ordinary, law-abiding citizens and businesses" being incorrectly flagged as suspects.

The whopping 352-page report, called "Protecting Individual Privacy in the Struggle Against Terrorists," amounts to at least a partial repudiation of the Defense Department's controversial data-mining program called Total Information Awareness, which was limited by Congress in 2003.

But the ambition of the report's authors is far broader than just revisiting the problems of the TIA program and its successors. Instead, they aim to produce a scholarly evaluation of the current technologies that exist for data mining, their effectiveness, and how government agencies should use them to limit false positives - of the sort that can result in situations like heavily-armed SWAT teams raiding someone's home and shooting their dogs based on the false belief that they were part of a drug ring.

The report was written by a committee whose members include William Perry, a professor at Stanford University; Charles Vest, the former president of MIT; W. Earl Boebert, a retired senior scientist at Sandia National Laboratories; Cynthia Dwork of Microsoft Research; R. Gil Kerlikowske, Seattle's police chief; and Daryl Pregibon, a research scientist at Google.