23 papers
Scientific communication and education focus on the vital bridge between complex research and the public, ensuring that discoveries are understood, trusted, and applied. This field explores how scientists share their work with students, policymakers, and communities, turning dense data into stories that inspire action and learning. It is about making the scientific process transparent and accessible to everyone, regardless of their background.
At Gist.Science, we process every new preprint in this category from bioRxiv to help you navigate these developments. We provide both plain-language overviews and detailed technical summaries, allowing readers to grasp the core ideas quickly or dive deep into the methodology. Whether you are a teacher looking for classroom materials or a curious learner, our goal is to demystify the latest findings in science outreach.
Below are the latest papers in scientific communication and education, curated directly from the bioRxiv repository with our dual summaries to guide your reading.
This study demonstrates that traditional physical practice participation significantly enhances vision-related quality of life among junior secondary school students through both direct effects and a serial mediation pathway involving increased exercise self-efficacy and reduced visual function anomalies.
This study demonstrates that the *Journal of Neurotrauma*'s mandatory rigor section significantly improved the reporting of specific transparency items compared to *Experimental Neurology*, though it highlighted a need for further improvements in reporting sex as a biological variable and reagent details.
This paper presents a multilingual survey dataset from 105 participants of the 2025 DBCLS BioHackathon in Japan, detailing AI usage patterns, challenges, and demographics across genomics and bioinformatics, accompanied by cleaned data and documentation to support research on AI adoption in science.
This community-driven study demonstrates that co-developing tailored, locally-grounded illustrations through iterative feedback effectively enhances engagement and understanding of abstract genetics concepts among the Orang Asli of Malaysia and the Turkana of Kenya.
This paper describes the Cientifico Latino, Inc. Graduate Student Engagement and Community (CL-GSEC) program, a nationwide group mentorship initiative that successfully supports first-year graduate students from underserved backgrounds by addressing systemic barriers and providing actionable insights for educational leaders to enhance inclusivity in STEM.
This study demonstrates that a domain-specific generative AI tool, Biodesign Buddy, effectively supports interdisciplinary biodesign education by scaffolding scientific literature research and enhancing foundational understanding for students with limited biology backgrounds.
Through a multi-stakeholder Delphi consensus study, this paper identifies actionable, feasible strategies for researchers, funders, publishers, and manufacturers to address the widespread waste and unreliability caused by inadequately validated antibodies, while highlighting systemic barriers and proposing a coordinated roadmap for implementation by 2030.
This study develops and validates an automated L1-regularized logistic regression model using TF-IDF features to detect causal language in scientific abstracts, applying it to a decade of gut microbiome research to reveal significant temporal and thematic heterogeneity in how causal claims are framed.
Carrierwave is an open, blockchain-based infrastructure that replaces traditional journal articles with granular, cryptographically verified research objects and programmable incentives to accelerate scientific communication, particularly for underrepresented research areas and intermediate findings that are currently excluded from the publication cycle.
The `ggrain` R package introduces the `geom_rain` function to the grammar of graphics ecosystem, enabling users to easily generate comprehensive raincloud plots that combine dot, box, and violin plots for transparent and robust data visualization.