Behavior Analysis in Practice provides science-based, best-practice information relevant to service delivery in behavior analysis.
Large Language Models (LLMs), such as ChatGPT, do not currently satisfy our authorship criteria. Notably an attribution of authorship carries with it accountability for the work, which cannot be effectively applied to LLMs. Use of an LLM should be properly documented in the Methods section (and if a Methods section is not available, in a suitable alternative part) of the manuscript. The best guidance for use of a LLM or AI is to document any contributions to your work in an upfront manner.
A special issue of a journal is a collection of papers that are organized around a topic or theme of research within the scope of mission in the journal. Special issues require substantial support from Guest Editors, including identifying a topical area of interest, recruiting manuscripts, supporting the peer-review process, editing manuscripts, organizing the collection of papers into meaningful structures, and writing an introductory editorial piece to introduce and frame the special issue.
In an effort to increase inclusivity and diversity in the review process, the Editor and Associate Editors of Behavior Analysis in Practice invite individuals who wish to serve in the role of Guest Associate Editor and Guest Reviewer to please self-nominate here: https://forms.gle/hZsXX5QMGDRgf5iK9 Individuals should be prepared to list their name, credentials, affiliation, and areas of expertise. Individuals will also be asked to upload their vitae to document their areas of expertise. The Editor and Associate Editors will draw from this list when selecting guest participation in the review process. We encourage you to self-nominate if you would like to gain experience in the review process.