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POSTER PRESENTATIONS

Posters must be no more than 32″ tall x 44″ wide. Posters must be printed prior to the symposium and brought to the symposium on the day of the poster session; there will be no access to poster printing at the symposium. 

AGU OSPA Criteria:

  • The student must be present for the entire poster session — their presentation of the poster is being judged, rather than the poster itself.  Students should place a note at their poster that they had to step away for 1-2 minutes if necessary. Judges will not judge posters without notes or posters with notes but unattended for more than 10 minutes.

  • Students should speak clearly.  They should tell their audiences enough to explain any item, without going into excessive detail (unless it is asked for).  They should explain the poster logically, starting with background and going on to results and conclusions.

  • The figures should be neat and legible.  The poster should be logically arranged, rather than a jumble of figures in disarray.  The title should be easily legible from 10 feet away and there should be an abstract or some short summary for those who just want to read.  Points will be deducted for too much or not enough text.

  • There should be some sort of summary diagram or list of conclusions.

  • The figures should be designed to be informative in a poster context, not just copies of something for publication.

  • Extra credit might be given for eye-catching set-up and use of color.

  • Students should be able to handle the poster presentation by themselves. Points will be deducted if he/she turns to the advisor for help.

  • Arrangement should be logical and should explain the problem to be addressed, describe the methods (briefly), present the results, and draw explicit conclusions.  Points will be deducted for diverging into unnecessary details.

  • The purpose of the study should be clear, not just a description of data.  At least one conclusion should be reached and substantiated by the data.

  • The study should contribute something new to the field, such as useful new data, a new model or a test of an old model.  There should be evidence of familiarity with the literature and work of others.

  • The data should be enough to support conclusions but not overwhelming.

  • A few results that demonstrate the trend are better than trying to show every piece of data.

  • Either verbally or visually, there should be a statement of the problem and of the conclusions.

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