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.
The Hypothesis Race Model (HRM) proposes an intuitive Bayesian framework that extends Ioannidis's work to reframe research evaluation as a progressive adjustment of hypothesis credibility, aiming to correct NHST misinterpretations and reduce the costs of empirical testing.
This cross-sectional study of 108 children aged 5–9 reveals that excessive screen time is significantly associated with externalizing behavioral problems in typically developing children, whereas this association is absent in children with autism spectrum disorder.
This paper analyzes the credentials of 40 successful biomedical researchers to reveal that developing research independence and a niche, supported by mentorship, are essential for faculty attainment, whereas high-prestige publications and grants are not strictly necessary.
This study documents the widespread use of locally available plants, particularly *Cymbopogon citratus*, *Rosmarinus officinalis*, and *Eucalyptus* spp., as mosquito repellents in the Rwenzori Region of Uganda, highlighting community knowledge and application methods that could inform future malaria prevention strategies.
This study demonstrates that returning individualized gut microbiome results to older women in South Africa and Kenya is feasible, low-cost, and effective in motivating health-promoting behaviors when delivered promptly through culturally grounded, local-language engagement strategies.
This study reveals that despite a 76.5% overall decline in Mexico's equine population since 1970 and a massive 710.8% overestimation in international data, working equids have experienced a paradoxical resurgence driven by economic necessity, underscoring their critical yet statistically invisible role in the country's small-scale agricultural sector.
This study compares NIH intramural and extramural grants from 2009 to 2019, revealing that while extramural funding is more cost-effective for generating academic publications and citations, intramural funding is more efficient at producing research that directly influences future clinical work.
This study by the Pathogen Data Network identifies systemic barriers and specific training priorities among infectious disease stakeholders, revealing that limited funding, data aggregation challenges, and a need for bioinformatics education are the primary impediments to achieving FAIR pathogen data, thereby providing an evidence-based roadmap for community-responsive support and infrastructure development.
The NIH Common Fund Data Ecosystem (CFDE) provides a collaborative, standards-driven infrastructure that integrates heterogeneous datasets from 18 NIH programs to overcome barriers in data discovery and analysis, thereby enabling cross-disciplinary insights through unified tools and community support.
This bibliometric analysis of over 10 million authors reveals that while overall gender differences in retraction rates are minimal, significant field-specific disparities exist, with structural factors such as discipline, career age, country income, and publication volume being stronger predictors of retraction than gender.