DIVERSITY IN TECH
The purpose of this infographic is to present the current gender and race diversity gaps in tech fields.
Elements
Appearance
The final version for the appearance display is different than the final version on the process page. The reason being is after I gained a better understanding of the strategy that best executed the visual language model, I decided to continue to explore the possibilities with the geometric shapes. The use of a low level of realism and a detailed map, including human characters, is a way to strengthen my infographic without overloading or departing too far from my visual language model.
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Numbers
The primary focus on the final version on the number display page was conveying the message. In this case, it is about the magnitude of the gender gap in the tech industry. The number display incorporated on my final infographic is the same design, except for a slight modification. The minor adjustment is the content that will solidify my argument: There are diversity issues in tech.
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Location
The visual potential of location in my infographic relied on the knowledge of the treatment non-white ethnic groups receive across the U.S. according to the region and the political representation. These two factors were kept in mind when picking different universities to investigated the genders and racial groups' degree or certificate completion in this field's data.
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Time
The final version for the time display in the infographic departed far from my visual language model since it does not have a time display. After inspecting different contents with different visual potentials, I decided to merge both the time and number displays. The rationale behind this decision was, "what is the message I am trying to convey here?" and the answer to it is the magnitude of the gender gap in the tech industry. Given that the infographic is intended to convey the information through the element of time, combining both time and number displays was a reasonable decision.
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Relationships
fter reading the data from reports and discussing the mechanisms that contribute to the gap with different people, I realize there is an indirect relationship between these factors. In this specific context, the indirect relationship is about the idea that one factor could be a mechanism of the other. For example, after women witness double standards in the workplace, they might perceive a need to prove themselves in their work environments/organizations to show that they are as competent as others. Hence, using arrows with corresponding colors of one bubble to another is vital to the message I am trying to communicate - a need to prove themselves (women) appears to be a behavior that driven by other factors presented here (i.e., witness(ed) double standards; perceived bias in performance; the pressures of fulfills the stereotypical feminine role; the belief that men are smarter than women).
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