Introduction

ASCLD Webinar Series: Firearms

ASCLD Webinar Series: Firearms

Overview

This course serves as an overview of the field of firearms examination for the crime laboratory administration. This webinar will provide non-firearms examiners, who supervise members within this field, a basic overview of the analysis performed, discipline specific administrative challenges, and address the limitations of report writing and testimony.

Presenters

  • Dep. Chief Timothy P. Scanlan, Ph. D.
  • Jene D. Rauch, M.S.

Funding for this Forensic Technology Center of Excellence webinar has been provided by the National Institute of Justice, Office of Justice Programs, U.S. Department of Justice.

The opinions, findings, and conclusions or recommendations expressed in this webinar are those of the presenter(s) and do not necessarily reflect those of the U.S. Department of Justice.

Contact us at ForensicCOE@rti.org with any questions and subscribe to our newsletter for notifications.


Related Content

What FSSP Leaders Should Know about Artificial Intelligence and its Application to Forensic Science In-Brief

Date December 2023 Overview Artificial intelligence (AI), which leverages computers to perform tasks that enhance decision-making, problem-solving capabilities, and technology-driven innovativeness,” is a rapidly growing area of interest for both industry and the federal research and development (R&D) community.1 For forensic science service…

FLN-TWG: A Roadmap to Improve Research and Technology Transition in Forensic Science

← Back to FLN-TWG Main Page  Forensic Laboratory Needs Technology Working Group (FLN-TWG) The National Institute of Justice (NIJ), in partnership with the Forensic Technology Center of Excellence (FTCOE) at RTI International, formed the Forensic Laboratory Needs Technology Working Group…

Evaluation of Purdue University’s 3D Imaging Prototype for Footwear and Tire Impressions

Date September 2022 Overview Supported by two National Institute of Justice (NIJ) awards (2016-DN-BX-0189 and 2019-R2-CX-0069), Dr. Song Zhang and his research team at Purdue University led the development of a fully automated 3D imaging system for footwear and tire…