Abstract Science Projects

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    • Ten times more people will read your abstract than your full paper, according to Science Buddies, and that's why the section is so important. Making your abstract engaging can get more people interested in your full paper or project display. This means you need to convey, in very few words, why the project is interesting and worth reading more about. Everything you say has to be important, so you should spend time thinking about your choice of words. It's worth redrafting your abstract to ensure you have really conveyed why the reader should be interested in your project.

    Word Count

    • Abstracts should generally be between 100 and 250 words. The very short word count of the abstract means you have to be very economical with what you choose to include, and how you convey the information. Summarize your project on your first draft without worrying too much about meeting the word count. Once you have your information organized, focus on cutting unnecessary words or phrases, and rewording sections to make them more concise.


    • Generally, all science project abstracts should contain five clear parts: introduction, purpose, procedure, results and conclusion. Structure your abstract according to these sections. In the introduction, explain what the general reasons are for doing your project and why people should be interested. For example, if you were doing a project relating to possible sources of greener energy, you could mention how greener energy would benefit society. For the purpose section, state the hypothesis of your experiment, or what specifically you were testing. Summarize how you investigated the hypothesis in your "procedure" section and detail the most important in the results section. Finally, add a conclusion explaining what can be inferred from your results.


    • Don't include graphs or tables of data in your abstract, this is too much information for what is essentially a brief run-through of your project. However, you should also avoid using words like "most" or "some" in your description of the results; include a few figures, but just the most important ones. Avoid any technical terms, abbreviations or acronyms in your abstract, and don't cite any other research or include a bibliography.

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