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Scientists' views about communication objectives.

John C Besley1, Anthony Dudo2, Shupei Yuan1

  • 1Michigan State University, USA.

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|August 27, 2017
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Summary
This summary is machine-generated.

Academic scientists

Keywords:
communication trainingscience communicationstrategic communicationsurveytheory of planned behavior

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Area of Science:

  • Science communication
  • Public engagement with science
  • Social sciences

Background:

  • Effective science communication is crucial for public understanding and trust.
  • Understanding scientists' perspectives on communication objectives is vital for training.
  • Previous research has explored scientist communication behaviors, but less on objective prioritization.

Purpose of the Study:

  • To investigate how US academic scientists prioritize communication objectives.
  • To identify factors predicting scientists' prioritization of public engagement communication goals.
  • To inform the development of targeted science communication training programs.

Main Methods:

  • Survey data from academic scientists across five professional societies in the United States.
  • Statistical modeling (e.g., regression analysis) to predict prioritization of eight communication objectives.
  • Analysis of scientists' attitudes, beliefs (normative, efficacy), demographics, and past communication experiences.

Main Results:

  • Scientists' attitudes, normative beliefs, efficacy beliefs, and past experiences significantly predict their prioritization of communication objectives.
  • Demographic factors and past training also show a predictive relationship with objective prioritization.
  • The identified predictors offer insights into the consistency of scientists' views on communication goals.

Conclusions:

  • Scientist communication training should address underlying attitudes and beliefs to influence objective prioritization.
  • Tailoring training to address specific efficacy and normative concerns can enhance scientists' engagement with public communication.
  • Understanding these predictive factors is key for improving the effectiveness of science communication initiatives.