The Hidden Biases in Big Data

April 3, 2013 — Leave a comment

“…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

Advertisements

No Comments

Be the first to start the conversation!

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s