In order for data to be equitable, the processes involved in the data life cycle must consider the ethical nuances of each step in the process. Researchers need to pay careful consideration to the way that we collect, analyze, interpret, and distribute
data to ensure that we do not integrate bias (consciously or unconsciously) into the process.
Today information barrages us, couched as fact, that is misleading, potentially harmful, and is replete with biases. These miscommunications can lead to the reinforcement negative of stereotypes, poor decision making, social upheaval, and mistrust of vetted, factual information. Social Media is often a “mixed bag” of facts and fiction, and many have difficulty navigating and drawing the line between them.
Data Day 2022 will take aim at data miscommunication and bias and discuss ways in which we can re-examine data through an equity lens.