The Business School Scandal That Just Keeps Getting Bigger
Francesca Gino, a Harvard professor, faces academic fraud allegations, prompting an audit by colleague Juliana Schroeder to restore trust in business psychology amid concerns of widespread research misconduct.
Read original articleThe ongoing scandal in business academia centers around Francesca Gino, a Harvard Business School professor accused of academic fraud. Allegations surfaced in summer 2023 when a blog post highlighted discrepancies in four of her published papers, suggesting that many more could contain fabricated data. Gino was placed on administrative leave as Harvard conducted an internal investigation, which concluded that she had committed research misconduct. Juliana Schroeder, a colleague and research partner of Gino, initiated a project to audit their joint work and verify the integrity of Gino's extensive research portfolio. This effort, known as the Many Co-Authors Project, aimed to restore trust in the field of business psychology, which has been marred by concerns over research quality and integrity. As Schroeder delved deeper, she discovered potential issues in a paper they co-authored, raising further questions about the reliability of their findings. The scandal has broader implications for the field, highlighting systemic flaws in research practices and the potential for widespread misconduct among business school academics. The situation continues to evolve, with increasing evidence suggesting that the issues may be more pervasive than initially thought.
- Francesca Gino, a Harvard professor, faces allegations of academic fraud affecting multiple papers.
- Juliana Schroeder initiated an audit to verify the integrity of Gino's research and their joint work.
- The Many Co-Authors Project aims to restore trust in business psychology amid growing concerns over research misconduct.
- The scandal reveals systemic flaws in research practices within business schools.
- Evidence suggests that the issues of misconduct may be more widespread than previously recognized.
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The original article on this is a really fun read if you've never seen it. They describe how to bust open the excel file and look at the component xml to figure out exactly how the data was manipulated. It's nothing ridiculously sophisticated just a great example of very motivated digging.
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