‘Misleading’ and ‘false’ portrayal of racism-related experiences leads to retraction

A health services journal has retracted a recent commentary about diversity, equity and inclusion (DEI) activities at the University of Minnesota after the authors said they had unintentionally “mischaracterized the authenticity of experiences represented.” 

The four-page commentary, titled “Transactional and transformative diversity, equity, and inclusion activities in health services research departments,” had appeared in the journal Health Services Research for almost three months before its retraction in March. It was co-authored by three employees at the University of Minnesota: professor Janette Dill, lecturer Stuart Grande and Tongtan Chantarat, a research scientist at the institution. 

The article details the DEI-related activities within the school’s Division of Health Policy and Management that were implemented from 2020 onwards amid calls for racial equity. (Minneapolis, where the university’s main campus is based, was the site of George Floyd’s murder in May 2020.) They label some efforts as “performative”, but go on to outline hopes for “transformative change” in the division – referring to attempts to build trust and relationships with students and faculty belonging to racial and ethnic minority groups. 

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Journals dismiss claims that Harvard researcher’s work on race is ‘pseudoscience’

Ryan Enos

Two journals have dismissed allegations of research misconduct leveled against a  political scientist at Harvard in an anonymous memo that labeled his work “pseudoscience.” 

The 2018 memo signed by “Social Scientists for Research Integrity” – which does not have an internet presence that we could find –  makes claims of academic misconduct against Ryan Enos, who denies any wrongdoing. The journals that published two of Enos’ papers singled out in the memo decided to let the articles stand after investigating the charges. A committee at Harvard University, where Enos is a professor of government and director of the Center for American Political Studies, also reviewed the claims and dismissed them. 

The allegations primarily concerned purported manipulation of data in Enos’ 2015 article, “What the Demolition of Public Housing Teaches Us about the Impact of Racial Threat on Political Behavior,” published in the American Journal of Political Science (AJPS). The paper has been cited 120 times, according to Clarivate’s Web of Science

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Former Harvard researchers lose PNAS paper for reusing data

John Blenis

A group of cancer researchers once all based at Harvard have earned a retraction after acknowledging data duplication “errors” in an article published more than eight years ago. 

The paper, “Synthetic lethality of combined glutaminase and Hsp90 inhibition in mTORC1-driven tumor cells,” was published in the Proceedings of the National Academy of Sciences (PNAS) in December 2014. It has been cited 52 times, according to Clarivate’s Web of Science. The study informed a clinical trial from Infinity Pharmaceuticals on a drug for people with lung cancer, according to Dimensions, a scientific research database. 

Starting in November 2020, the paper drew scrutiny from commenters on PubPeer. The posts include claims of duplications in several of the paper’s figures; none of the authors has responded to the 10 comments on the site. 

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Springer Nature retracts chapter on sign language deaf scholars called “extremely offensive”

Springer Nature has retracted a book chapter which critics say was plagued with “extremely offensive and outdated” statements about the deaf community. 

The chapter, “Literature Review on Sign Language Generation,” was published in September 2022 as part of Data Management, Analytics and Innovation: Proceedings of ICDMAI 2022 (International Conference on Data Management, Analytics and Innovation). The authors, five researchers at the Cummins College of Engineering for Women in Pune, India, attempted to review work on sign language translation – specifically with artificial intelligence and machine learning. 

From the abstract: 

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