The Data Hazards project looks at the problems in applying traditional ethical values to research that uses machine learning and artificial intelligence.
Wiley’s Jay Flynn discusses the impact that paper mills had on Hindawi’s publishing program and how all stakeholders must collaborate to address behaviors that undermine research integrity.
Christos Petrou takes a look at the Guest Editor model for publishing and its recent impact on Hindawi and MDPI, as Clarivate has delisted some of their journals.
Are we still doing the work it takes to make positive and impactful change? Are we continuing the work to break down systems, policies, and unwritten industry rules that are no longer fit for purpose?
Danny Kingsley suggests that research integrity begins with the training researchers receive at university. Achieving Open Research and increasing reproducibility requires systematic research training that focuses specifically on research practice.
The first 2023 issue of Learned Publishing reflects on how to make lasting, meaningful improvements to our industry’s diversity, equity, inclusion, and accessibility (DEIA).
In preparation for a presentation, Curtis Kendrick tried ChatGPT to see what it (they?) had to say. The results at first seemed credible, but where ChatGPT failed miserably was in the non-existent citations it provided.
The STM Integrity Hub will include software to detect image manipulation and duplication. It is important that the effectiveness of the software be evaluated in a transparent process.
A new type of post from us today, offering a smorgasbord of opinions on topics including the ongoing Twitter/Elon Musk saga, just what “equitable access” to the literature means, the ongoing lack of experimental controls in one area of bibliometric analysis, and whether journals are more like a gate or a sewer.