The Politics of Data

“However objective data may be, interpretation is subjective, and so is our choice about which data to record in the first place. ... data, no matter how “big,” cannot perfectly represent life in all its complexity”

The Problem with Our Data Obsession, by Brian Bergstein writing in the MIT Technology Review

Privacy vs. transparency

There's been a flurry of news about openness and data.

Cartoon by Rayma.

David Brooks' New York Times pieces on The Philosophy of Data and What Data Can’t Do explore whether data can overcome human bias and what biases get introduced in the process, where to draw the line between data-driven decisions and organic judgment, when values, context and causation trump mere correlation. Flawed models helped bring about the 2008 financial crisis, but the underlying causes had more to do with deeply flawed incentives.

On one hand, data from social networks are making social science more scientific. On the other, do we want Facebook to make us more open and transparent to advertisers? I'm dreading 5 or 10 years from now when pictures of my kids will be used to advertise to me. The masters of click-data keep are sure to keep getting better at pushing our buttons.

The collection and exploitation of personal data remains a largely unregulated open frontier. But, on some fronts, policy is moving in a positive direction. The public was able to effect the demise of SOPA, but the special interests expect us to give up. The government is looking out for its own pocketbook when it mandates Open Access.

Open access in science

White House says government-funded research should be more public and has moved to expand public access to the results of federally funded research by directing that published results be made freely available to the public within one year of publication and requiring researchers to better manage digital data.

Open questions

What's needed is, a “rethinking [of] how our legal system affects technology, and how it allows crony capitalism to stifle innovation”.

There are trade-offs to be made: privacy against transparency; open access against proprietary business models. Can we trust what the data is telling us and how that knowledge will be used? Will the benefits will be gated and captured or open and distributed?