"The powers that be" began to learn all about our...

Read the full article by Vivek Wadhwa here:

Over the centuries, we gathered a lot of data on things such as climate, demographics, and business and government transactions. Our farmers kept track of the weather so that they would know when to grow their crops; we had land records so that we could own property; and we developed phone books so that we could find people. Web 1.0 made it possible to make this information globally available and searchable.

This rapidly evolved into Web 2.0. Now data were being captured on what news we read, where we shopped, what sites we surfed, what music we listened to, what movies we watched, and where we travelled. And “the powers that be” started gathering information about our age, health, education, and socioeconomic status.

With the advent of LinkedIn, Myspace, Facebook, Twitter, and the many other social-media tools, the Web became “social” and “the powers that be” began to learn all about our work history, social and business contacts, and what we like—our food, entertainment, sexual preferences, etc. This is what Reid Hoffman calls Web 3.0.

In 2009, President Obama launched an ambitious program to modernize our healthcare system by making all health records standardized and electronic. The goal is to have all paper medical records—for the entire U.S. population—digitized and available online. This way, an emergency room will have immediate access to a patient’s medical history, the effectiveness of medicines can be researched over large populations, and general practitioners and specialists can coordinate their treatments. Click "Read more" ===>

The government is also opening up its massive datasets of information with the Data.gov initiative. Four hundred thousand datasets are already available, and more are being added every week. They include regional data on the efficiency of government services, on poverty and wealth, education, on federal government spending, on transportation, etc. We can, for example, build applications that challenge schools or health-care providers to perform better by comparing various localities’ performance. And we can hold the government more accountable by analyzing its spending and wastage.

There are more than 24 hours of video uploaded to YouTube every minute, and far more video is being collected world wide through the surveillance cameras that you see everywhere. Whether we realize it or not, our mobile phones are able to keep track of our every movement—everywhere we go; how fast we move; what time we wake. Various mobile applications are beginning to record these data.

And then there is the human genome. We only learned how to sequence this a decade ago at a cost of billions of dollars. The price of sequencing an individual’s genome is dropping at a double exponential rate, from millions to about $10,000 per sequence in 2011. More than one million individuals are projected to be sequenced in 2013. It won’t be long before genome sequencing costs $100—or is free—with services that you purchase (as with cell phones).

Now imagine the possibilities that could derive from access to an integration of these data collections: being able to match your DNA to another’s and to learn what diseases the other person has had and how effective different medications were in curing them; learning the other person’s abilities, allergies, likes, and dislikes; who knows, maybe being able to find a DNA soul mate. We are entering an era of crowd-sourced, data-driven, participatory, genomic-based medicine. (If you’re interested, Dr. Daniel Kraft, a physician–scientist who chairs the Medicine track for Singularity University, is hosting a program called FutureMed, next month, which brings together clinicians, AI experts, bioinformaticists, medical-device and pharma executives, entrepreneurs, and investors to discuss these technologies.)

You may think that the U.S. leads in information collection. But the most ambitious project in the world is happening in India. Its government is gathering demographic data, fingerprints, and iris scans from of all its 1.2 billion residents. This will lead to the creation of the largest, most complex identity database in the world. I’ll cover this subject in a future piece.

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