Division 1 – PhD/Masters

Division 1. Competition Details

  • Students must belong to a Masters or PhD Program at an accredited university at the time of abstract submission.
  • Students can only compete in ONE division and submissions are restricted to ONE per student.
  • Participating students must be listed as the presenting author. Presenting author substitutions will only be considered if due to extenuating circumstances.
  • Abstracts will be submitted online and can be edited until 11:59PM EST on May 25, 2019
  • Selected abstracts will be notified by June 10, 2019 and will be required to register for the CBIC, with poster presentations occurring between August 13th and 15th, 2019.
  • ALL students that submit an abstract will receive 10% discount off the early bird registration rate (valid until June 15, 2019), regardless of if their abstract is selected. Details on how to receive this discount will be emailed to applicants.
  • Winners will be selected at the CBIC receiving the following prize money: 1stPlace $500; 2nd Place $300; 3rd Place $200

Division 1. Abstract Guidelines

An abstract is a short communication that allows readers to evaluate the contributions of a scientific study, method, industry solution, extension program, or research technique. As such, an abstract must contain clearly stated, simple sentences to ensure clarity.

Abstract Requirements

  • Abstract text (not including title) limit is 250 words.
  • Proposed Title limit is 75 words.
  • Please provided 5 keywords that relate to your abstract content.
  • Include the name(s) and affiliation(s) of authors and the email of the corresponding/presenting author.
  • A clearly stated objective in the first sentence.
  • Experimental methodology (such as population, experimental design, housing, data collection and statistical analysis).
  • Results related to the objective must be stated with the appropriate statistical inferences. One table or figure can be included if this is the most appropriate method for result presentation.
  • A clear conclusion that defines the effectiveness or application of the results.

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