Evidence analysis and processing

Forensic science research and development plays a key role in the advancement of the practice of forensic science, as noted by the 2009 National Academies of Science report “Strengthening Forensic Sciences in the United States: A Path Forward.” The Emerging Forensic Research Webinar Series provides a platform for researchers to present their novel NIJ-supported research to the forensic community.

Forensic science research and development plays a key role in the advancement of the practice of forensic science, as noted by the 2009 National Academies of Science report “Strengthening Forensic Sciences in the United States: A Path Forward.”

This webinar was presented by the NIJ Forensic Technology Center of Excellence on February 26, 2019.

Forensic science research and development plays a key role in the advancement of the practice of forensic science, as noted by the 2009 National Academies of Science report “Strengthening Forensic Sciences in the United States: A Path Forward.”

This webinar was presented by the NIJ Forensic Technology Center of Excellence on March 14, 2019.

Forensic science research and development plays a key role in the advancement of the practice of forensic science, as noted by the 2009 National Academies of Science report “Strengthening Forensic Sciences in the United States: A Path Forward."

This webinar was presented by the NIJ Forensic Technology Center of Excellence on April 4, 2019.

Forensic science research and development plays a key role in the advancement of the practice of forensic science, as noted by the 2009 National Academies of Science report “Strengthening Forensic Sciences in the United States: A Path Forward.”

This webinar was presented by the NIJ Forensic Technology Center of Excellence on April 9, 2019.

SWGDAM recently issued recommendations on genotyping results reported as likelihood ratios, designed to promote consistency among laboratories. Members of the committee will discuss the recommendations and their foundations.

This webinar was presented by the NIJ Forensic Technology Center of Excellence on October 18, 22018.

This webinar will demonstrate the use of the open source 3D Slicer software platform (https://www.slicer.org/) for visualizing 3D medical imaging datasets and collecting quantitative data from those images, including linear/angular, landmark-based, and volumetric data.

This webinar was presented by the NIJ Forensic Technology Center of Excellence on October 28, 2020.

In the third webinar, participants will learn about the image data included in the New Mexico Decedent Image Database, including how to open and view an image series, the different viewing functions, and how to access detailed information about the images.

This webinar was presented by the NIJ Forensic Technology Center of Excellence on October 21, 2020. 
 

Based on the review of various forms of STR typing results and factors that impact the presence or condition of DNA on evidence, instructors in this installment of Probabilistic Genotyping of Evidentiary DNA Typing Results lay a foundation for the interpretation of forensic DNA typing results. The session will begin with background information on forensic DNA analysis, including terminology and mechanisms, to help all participants comprehend the material covered in this series.

This first webinar is an introduction to NMDID. Attendees will learn about the history of the database and the team that developed it. There will be a tour of the website, including data use agreement, “how to use” videos, descriptions of basic data types, and an introduction to the data dictionary.

This webinar was presented by the NIJ Forensic Technology Center of Excellence on October 7, 2020. 

This webinar will provide an evaluation of the DEPArray™, a system that enables the identification, separation, and recovery of single cells or groups of cells from heterogeneous mixtures. The workflow described in this webinar will highlight the impact this instrument, with standard forensic processes, will have on processing sexual assault evidence and improving the success of single cell analyses.

Many working with genomic DNA can afford to lose large portions of it during its extraction without negatively impacting downstream analysis.  However, with work targeting highly degraded DNA sources, retention of every molecule can be key to successful analyses.   This webinar addressed the insufficient documentation of absolute efficiencies of extraction methods and the nature of DNA loss associated with the study of low copy number and degraded DNA samples.

This webinar introduced the importance of network forensics, which included capturing network traffic and reconstructing digital artifacts. Presenters discussed big data challenges, open-source tools, and the new toolkit FileTSAR.

This webinar was presented by the NIJ Forensic Technology Center of Excellence on August 12, 2020.

This webinar focused on the use of PACE™, a method developed by Syracuse University, to perform artifact management and probabilistically predict the number of contributors (NOC) in forensic DNA samples. This is performed using a combination of biological modeling and machine learning, permitting high accuracy NOC calls (greater than 90%) of complex mixtures. It does so rapidly (seconds to minutes) without the need for high performance computing resources.

This webinar discussed intact low explosives analysis with a focus on microscopical methods. It covered terminology for explosives, the rationale of low explosives analysis for most crime laboratories, six categories of low explosives, and examples of three analyses using microscopical methods.

This webinar was presented by the NIJ Forensic Technology Center of Excellence on July 16, 2020.

Residential structure fires are predominantly fueled by synthetic contents and commonly become ventilation-limited.  Therefore accounting for the impact of ventilation on fire is important. Examining flow paths within the structure can aide in fire pattern analysis.

This webinar was presented by the NIJ Forensic Technology Center of Excellence on June 10, 2020.