MbShea@PWP@English@UMCP

BEGINNING: Hook audience with a statistic about the percent of colorblind. Put that number into the context of lab meeting. For instance, “imagine you are presenting your lab data to ten of your co-workers, chances are that one of those ten people cannot fully understand your visuals due to their colors.” Introduce the problem and propose the solution.
MIDDLE: Provide information on colorblindness. Include new medical advances that help those who suffer from this disorder. Next, build a colorblind student persona, so the audience can relate to the problem at hand. Provide specific information on how to make color blind-friendly visuals.
END: End with acknowledgment of the limits of the proposed suggestions. I will end by urging the reader to reach out to their color blind colleagues or color blind students to seek their suggestions.
LOGOS: 1) Data on what percent of people suffer from color blindness. 2) Information on how it is a genetic disorder linked to the X chromosome. 3) Evidence on how color blindness can affect students’ performance in school.
PATHOS: Personal experiences that I have with colorblindness. The challenges that I have faced in my STEM classes, both academically and socially, as well as obstacles I faced in my lab as a result of my disorder.
ETHOS: Credibility of the sources I will use. Also, my position as a young colorblind scientist will provide the integrity and trustworthiness of the paper.
STRUCTURE: I will use a carrot-like structure. In the begging, I will include medical information on color blindness. Next, I will build a persona of a colorblind student. Finally, I will list the different methods of making colorblind-friendly visuals. I will use lists and figures.
GOAL: Persuade professors that the issue of colorblindness is important to many people in science. Guide professors and science professionals on how to make colorblind-friendly visuals.

I will really want to use this! Here is an example of a visualization that is really important but would be really difficult for colorblind readers to parse.
http://nsidc.org/arcticseaicenews/files/2018/05/Figure2-350x280.png

What about medical readouts for cardiac clinical data? Some of these would be really hard to interpret.
https://ecglibrary.com/ecghome.php