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Sunday, June 25, 2023

Harvard Business School Professor Francesca Gino Accused of Committing Data Fraud

Rahem D. Hamid
Crimson Staff Writer
Originally published 24 June 23

Here is an excerpt:

But in a post on June 17, Data Colada wrote that they found evidence of additional data fabrication in that study in a separate experiment that Gino was responsible for.

Harvard has also been internally investigating “a series of papers” for more than a year, according to the Chronicle of Higher Education. Data Colada wrote last week that the University’s internal report may be around 1,200 pages.

The professors added that Harvard has requested that three other papers co-authored by Gino — which Data Colada flagged — also be retracted and that the 2012 paper’s retraction be amended to include Gino’s fabrications.

Last week, Bazerman told the Chronicle of Higher Education that he was informed by Harvard that the experiments he co-authored contained additional fraudulent data.

Bazerman called the evidence presented to him by the University “compelling,” but he denied to the Chronicle that he was at all involved with the data manipulation.

According to Data Colada, Gino was “the only author involved in the data collection and analysis” of the experiment in question.

“To the best of our knowledge, none of Gino’s co-authors carried out or assisted with the data collection for the studies in question,” the professors wrote.

In their second post on Tuesday, the investigators wrote that a 2015 study co-authored by Gino also contains manipulations to prove the paper’s hypothesis.

Observations in the paper, the three wrote, “were altered to produce the desired effect.”

“And if these observations were altered, then it is reasonable to suspect that other observations were altered as well,” they added.


Science is a part of a healthy society:
  • Scientific research relies on the integrity of the researchers. When researchers fabricate or falsify data, they undermine the trust that is necessary for scientific progress.
  • Data fraud can have serious consequences. It can lead to the publication of false or misleading findings, which can have a negative impact on public policy, business decisions, and other areas.