Document Type
Presentation Paper
Date of Seminar
10-15-2025
Access Restrictions
Access limited to Washington University campus
Copyright
Materials provided for non-profit, educational use; further reproduction and distribution in any way inconsistent with copyright law (17 U.S. Code) and its “fair use” provisions may result in liability for copyright infringement.
Recommended Citation
Sala-Rabanal, Monica, "SciComm Journal Club: Generative AI in science communication: Fostering scientists’ good working habits for ethical and effective use" (2025). SciComm Journal Club. Paper 3.
Retrieved from https://digitalcommons.wustl.edu/scicomm_jclub/3
COinS
Notes
Generative AI (GenAI) helps scientists communicate more effectively by supporting tasks such as brainstorming, summarizing, and refining language — advancing open science goals of accessibility and knowledge sharing. However, responsible GenAI use requires critical thinking, transparency, and communication skills. In this session, the group reflected on best practices for making the most of GenAI tools and resources available to researchers.
doi:https://doi.org/10.1177/10755470251343486.
APA Article Citation:
Hendriks, F., Barel‑Ben David, Y., Banse, L., Fick, J., Greussing, E., Klein‑Avraham, I., Rakedzon, T., Taddicken, M., & Baram‑Tsabari, A. (2025). Generative AI in science communication: Fostering scientists’ good working habits for ethical and effective use. Science Communication, 1–17. https://doi.org/10.1177/10755470251343486