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Search Publications by: Julia Sharp (Fed)

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Displaying 1 - 4 of 4

Expanding the AI Evaluation Toolbox with Statistical Models

February 17, 2026
Author(s)
Andrew Keller, Kweku Kwegyir-Aggrey, Ryan Steed, Anita Rao, Julia Sharp, Amanda Bergman
Benchmarks are widely used to evaluate and compare the performance of artificial intelligence systems. However, some approaches to computing benchmark metrics produce invalid uncertainty estimates or make unrecognized assumptions about the evaluation

Do good: strategies for leading an inclusive data science or statistics consulting team

May 12, 2024
Author(s)
Christina Maimone, Julia Sharp, Ofira Schwartz-Soicher, Jeffrey Oliver, Lencia Beltran
Leading a data science or statistical consulting team in an academic environment can have many challenges including institutional infrastructure, funding, and technical expertise. Even in the most challenging environment, however, leading such a team with

Peering into the Phish Bowl: An Analysis of Real-World Phishing Cues

August 7, 2023
Author(s)
Lorenzo Neil, Shanee Dawkins, Jody Jacobs, Julia Sharp
Organizations use simulated phishing awareness train-ing exercises to help users identify, detect, and defend against the ever-changing phishing threat landscape. Realistic phishing emails are used to test users' ability to spot a phish from visible cues
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