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Your certificate is now private

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Certificate of Completion

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THIS ACKNOWLEDGES THAT

HAS COMPLETED THE SPRING 2024 DATA SCIENCE BOOT CAMP

William Davis

Roman Holowinsky, PhD

MAY 01, 2024

DIRECTOR

DATE

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TEAM

Predicting Paper Retractions

William Davis, Jack Kendrick

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As academics, we all know the seriousness of paper retractions. Retractions indicate seriously flawed and unreliable research, errors, fraud, ethical issues, or other serious concerns. But can retractions be predicted? In this project, we will use data from "Retraction Watch" (http://retractiondatabase.org/), a database of academic papers that have been previously retracted, to investigate and develop methods for predicting whether a paper will be retracted or not in the future. An end-goal target is to build a binary classifier for "will be retracted" vs. "will not be retracted". A stretch goal would be to analyze any systemic biases in the classifier.

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