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The Things We Do: How Crowd Science Can Help Eliminate Biases

Roxanne Bauer's picture

There is a new and exciting field emerging that combines the insight of analytics and psychology; it’s known as crowd science.  Already, it’s a fairly pervasive industry, involving not just data scientists but also behavioral economists, marketers, and entrepreneurs.
 
Crowd science analyzes data (through mining, algorithms, statistical modeling, and others) and then applies psychological or behavioral theories to make sense of the analyses. It is sometimes referred to as the “guinea pig” economy because it utilizes consumer tests— often without the consumer realizing it— to obtain its data and, therefore, insight.
 
One of the most popular forms of crowd science is A/B testing whereby website visitors are shown different interfaces or versions of the same site. The way in which each visitor navigates through the site is then tracked to determine which version is more appealing or effective. One reason A/B testing is so helpful is that it divides users into a control group and a treatment group, allowing the engineers of the experiment to determine not just what the issues are but how to solve them. It also allows decision-makers to test for biases in project design and implementation.