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Activity Number: 216 - Contributed Poster Presentations: Section on Statistics and Data Science Education
Type: Contributed
Date/Time: Tuesday, August 4, 2020 : 10:00 AM to 2:00 PM
Sponsor: Section on Statistics and Data Science Education
Abstract #312777
Title: Assessing the Resources and Requirements of Statistics Education in Forensic Science
Author(s): Xiaoyi Yang* and Robin Mejia
Companies: Carnegie Mellon Univ and Statistics and Human Rights Program Manager and Special Faculty
Keywords: Statistics Education; Forensic Science; Assessment and Evaluation

With the increasing ability to easily collect and analyze data, statistics plays a more critical role in scientific research activities, such as designing experiments, controlling processes, and understanding or validating lab results. As a result, incorporating statistics training into the curriculum is becoming a trend in STEM education across a range of fields. However, assessing the level and focus of statistical skills that each discipline requires is complicated and subjective. Situations vary based on the subject, program level and expectation, and university resources. As part of the Center for Statistics and Applications in Forensic Evidence (CSAFE), we assess the statistics requirements in accredited university programs in forensic science, through reviewing accreditation requirements and analyzing program admission requirements and curricula. We present results for this pilot project characterizing the expectation of the American Academy of Forensic Sciences for statistics skills and their alignment with tasks performed by forensic scientists, statistics teaching resources available to forensics programs, and possible solutions for reducing any identified gaps.

Authors who are presenting talks have a * after their name.

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