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Waving through a window: Agricultural research faculty perspectives on science communication challenges.

Jamie Alexander GreigShelli RampoldEmily A PaskewitzTaylor Ruth
Published in: PloS one (2024)
This qualitative study explores agriculture research faculty's challenges with participating in Science Communication. To explore the challenges shared by faculty, we utilized the proposed Faculty Science Communication Engagement Framework, which identifies three dimensions that may cause challenges for faculty Science Communication work: personal, professional, and institutional. During interviews with 11 research faculty, we identified Science Communication challenges within these dimensions. Participant challenges within the personal dimension include allocation of time, the learning curve, audience familiarity, and mass-media concern. Professional dimension challenges were "it's not my job" and disciplinary norms, while challenges within the institutional dimension included a lack of support and resources. Across these dimensions, faculty challenges revolved around the time required to invest in Science Communication activities, the needed resources (personnel, technology, and financial), the value placed on efforts by their academic institution, and the lack of knowledge regarding Science Communication techniques and audience. These findings are described through rich data, and practical recommendations are provided for fostering future Science Communication engagement and interest among faculty. These include Science Communication training focused on specific content areas, hands-on training and support with Science Communication technologies, including Extension and non-Extension faculty in training sessions, creating structured and strategically implemented shared Science Communication resources at the institutional level, including Science Communication efforts in university strategic planning, and awarding and recognizing faculty who utilize Science Communication successfully.
Keyphrases
  • public health
  • medical students
  • medical education
  • healthcare
  • dna methylation
  • young adults
  • machine learning
  • social media
  • depressive symptoms
  • big data
  • quality improvement