Webinar: Modeling And iNventory of Tread Impression System (MANTIS) – The development, deployment and application of an active footwear data collection system

Online Learning

CSAFE invites researchers, collaborators, and members of the broader forensics and statistics communities to participate in our Spring 2022 Webinar Series on Thursday, March 24, 2022, from 11:00am-Noon CST. The presentation will be “Modeling And iNventory of Tread Impression System (MANTIS): The development, deployment and application of an active footwear data collection system.”  Presenters: Dr. […]

Free

Webinar: Shining a Light on Black Box Studies

Online Learning

CSAFE invites researchers, collaborators, and members of the broader forensics and statistics communities to participate in our Spring 2022 Webinar Series on Friday, April 22, 2022, from 11:00am-Noon CST. The […]

Free

Statistical Thinking for Forensic Practitioners Short Course – Session 2

This event is scheduled to take place on June, 10, 2022. A registration form can be found below.  Session 2 Description: Session 2: Sampling, Statistics and the Status Quo is the second session in the three-session short course, Statistical Thinking for Forensic Practitioners.  Statistical ideas such as sampling, point and interval estimation of population quantities, […]

Statistical Thinking for Forensic Practitioners Short Course – Session 3

This event is scheduled to take place on June, 17, 2022. A registration form can be found below.  Session 3 Description: Session 3: Quantitative Tools for Forensic Evidence is the third session in the three-session short course, Statistical Thinking for Forensic Practitioners.  The National Academies report in 2009 and the PCAST report in 2016 encouraged […]

Webinar: Ensemble SLRs for Forensic Evidence Comparison

Online Learning

CSAFE invites researchers, collaborators, and members of the broader forensics and statistics communities to participate in our Summer 2022 Webinar Series on Thursday, August 25, 2022, from 11:00am-Noon CT. The […]

Free