Just Handwriting Statistics

Just Handwriting Statistics

Just Handwriting Statistics

In episode eight of the IPTES season, Just Science interviews Cami Fuglsby, from South Dakota State University, to discuss Sufficiency and Complexity Factors in Handwriting Examination. Did you know that increasing the size of the document improves the sufficiency of the document? Or that the likelihood of chance matches decrease as complexity increases? Follow along as we discuss Flash ID, shape-codes, and flipping algorithms on their heads.

This episode of Just Science is funded by the National Institute of Justice’s Forensic Technology Center of Excellence [Award 2016-MU-BX-K110].

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Ms. Cami Fuglsby is in her first year of the Computational Science and Statistics PhD program in the Department of Mathematics and Statistics at South Dakota State University. Recently a graduate of the Master’s program in the same department, her thesis focused on the sufficiency of an automated handwriting verification system using various comparison methodologies. Ms. Fuglsby had the opportunity to present on her research at the Joint Statistical Meetings and the International Conference on Forensic Inference and Statistics; at the latter, she was a recipient of a Stephen E. Fienberg Center for Statistics and Applications in Forensic Evidence (CSAFE) Young Investigator Travel Award. Ms. Fuglsby has supported researchers and developments within the questioned document community and is collaborating with researchers at the FBI over analysis of trace evidence


Additional Resources:

2018 IPTES Archives