1/ 🚨 NEW PAPER! “Open Science at the Generative AI Turn”
In a new study just published in Quantitative Science Studies, we explore how GenAI can both enable and challenge Open Science, and why GenAI will benefit from adopting the values of Open Science. 🧵
New Paper!
“Understanding the social and political dimensions of research(er) assessment: evaluative flexibility and hidden criteria in promotion processes at research institutes”, just published in Research Evaluation by me, Noemie Aubert Bonn and Serge Horbach.
Abstract. Debates about appropriate, fair and effective ways of assessing research and researchers have raged through the scientific community for decades,
New publication day! 😀
Our article consolidating the evidence on the societal impact of Open Science is now live at Royal Society Open Science
NEW PREPRINT exploring possible positive and negative impacts of Generative AI (e.g., LLMs) on Open Sciences processes and practices.
Hosseini, M., Horbach, S., Holmes, K. L., & Ross-Hellauer, T. (2024). Open Science at the Generative AI Turn: An Exploratory Analysis of Challenges and Opportunities.
The LSE Impact Blog covering our recent scoping review on evidence regarding the uptake, attitudes and efficacy of Open Peer Review.
Conclusion: many persistent and crucial questions remain poorly explored. We suggest ways to move forward and invite collaboration!
New preprint on the societal impact of Open Science!
As part of the PathOS project, we have scoped the academic, societal and economic impacts of Open Science. The first of three upcoming preprints (each covering one theme) is now available! #openscience
New article, just out in Research Evaluation!
Serge Horbach and I review recent evidence on uptake, attitudes, efficacy of Open Peer Review
https://doi.org/10.1093/reseval/rvae004
The tl;dr is all in Table 4 ;)
