The Hidden Biases in Big Data

“…with every big data set, we need to ask which people are excluded. Which places are less visible? What happens if you live in the shadow of big data sets?”

“…technologies are always differentially adopted, and “any divide in accessing digital technology is not a one-time event but a constantly moving target as new devices, software and cultural practices emerge…”

“In the near term, data scientists should take a page from social scientists, who have a long history of asking where the data they’re working with comes from, what methods were used to gather and analyze it, and what cognitive biases they might bring to its interpretation (for more, see “Raw Data is an Oxymoron“). Longer term, we must ask how we can bring together big data approaches with small data studies — computational social science with traditional qualitative methods…”

“We get a much richer sense of the world when we ask people the why and the how not just the “how many”…

-The Hidden Biases in Big Data, Harvard Business Review