NIST Statistician Urges Greater Transparency in Expert‑Witness Methods Steve Lund, a statistician in NIST's Statistical Engineering Division, said experts should show how methods perform on known cases and explain uncertainties so judges and juries can better assess evidence interpretation.

NIST statistician Steve Lund is calling for transparency in expert-witness methods to prevent wrongful convictions and enhance the reliability of forensic evidence.

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NIST researcher presents model estimates of vanishingly small false-positive rates for a ballistic matching method, urges more testing Dr. Forberger of NIST presented modeling and test-data for the congruent matching cells (CMC) method for comparing breech-face impressions, showing model-based false-positive probabilities as low as “10 to the minus 56” in a constrained dataset while stressing substantial measurement and modeling uncertainties and the need for larger databases and testing before casework deployment.

NIST's Dr. Forberger reveals astonishingly low false-positive rates in forensic ballistics, but warns that significant uncertainties remain before these findings can be applied in court.

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NIST researcher describes ‘‘congruent matching’’ method, reports near‑zero error rates in ballistics tests Dr. Song of NIST presented a method called congruent matching for forensic image correlation and reported validation experiments (including 95 cartridge cases and 4,465 image pairs) he says yield cumulative false positive and false negative error rates of less than 1 in 1,000,000. He described workflows for cartridge-case, firing-pin and bullet‑profile comparisons and said the approach could support federal ballistic identification efforts.

Dr. Song's groundbreaking "congruent matching" method promises to revolutionize forensic ballistics with an astonishing error rate of less than 1 in 1,000,000!

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NIST releases DART MS Data Interpretation Tool and updated Dragonfly spectra library NIST researchers released the DART Mass Spectrometry Data Interpretation Tool (DIT), an open-source, browser-based application that implements the ILSA algorithm and ships with an updated Dragonfly DART mass spectra library (about 895 compounds). The team described contribution, curation and planned features including negative-mode support and a database builder.

NIST just unveiled a groundbreaking DART Mass Spectrometry Data Interpretation Tool that could revolutionize drug analysis with its updated library of 895 compounds!

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