Laboratory for Forensic Technology Development & Integration
Lauren Alfonse, Jennifer Sheehan and Catherine Grgicak will present our most recent work at the upcoming NEAFS 2017 conference.
Lauren presents her work on CleanIt: An automated artifact filtering macro; Jennifer delves into double-back stutter; and Catherine introduces ReSOLVIt.
On October 26th, 2017 we will speak at a conference hosted by the Legal Aid Society. See our calendar of events for location and other details.
Dr. Desmond Lun will be speaking on our research pertaining to the development of computational methods in forensic science.
Dr. Catherine Grgicak speaks about signal quality and effects on continuous Likelihood Ratios.
Producing an empirical data set large enough to efficiently compare, contrast, and validate forensic DNA computational systems is costly, labor-intensive, and requires the amplification of many samples that may not be readily available. In an effort to provide continued support to the forensic science community and to foster growth in both forensic research and operations, we announce the PROVEDIt initiative: Project Research Openness for Validation with Empirical Data.
First announced at the 2016 International Symposium on Human Identification, PROVEDIt comprises 25,000 .fsa and .hid profiles as well as a suite of analysis, interpretation, and in silico software systems/procedures and models developed in a variety of environments by a multi-disciplinary, inter- institutional team.