Data Science in the Government

The Promise of Big Data

Mobile devices and smart sensors, cloud-based storage, social media and Internet traffic – all these developments and more are creating new opportunities in big data analytics.

Government data scientists are nonetheless needed to:

To do this, they sort through a mix of information management, storage and security systems. They collect, process and analyze a large amount of data from a variety of sources.

“I think the government is awakening to the idea that data science can provide models that have great utility for a variety of missions.” – Robert Hummel, from 3rd Annual Government Big Data forum

Governments have forever been poking their noses into the lives of their citizens:

But until the 19th century, collecting and recording government data was manual and extremely labor-intensive. It would take a minor revolution to shake things up.

In the late 1880s, Herman Hollerith submitted his Ph.D. at New York’s Columbia University, An Electric Tabulating System..

Hollerith’s invention – an electromechanical tabulating machine that employed electrical circuits to count and sort punch cards – was used to complete the 1890 U.S. census. A task that had been predicted to take more than ten years took less than three. The U.S. government saved $5 million.

Hollerith capitalized on his success by forming the Tabulating Machine Company, one of four companies that merged and eventually became International Business Machines Corporation (IBM).

During the Great Depression, IBM would be contracted by the U.S. government to keep employment records on 26 million working Americans and 3 million employers

When World War II arrived, the Western powers threw their might behind data intelligence projects:

War work had significant post-war applications. By the end of March 1950, ENIAC was able to generate the first models to forecast the weather.

During the Cold War, the government desperately wanted to know what the Soviets were up to. And to do that, it needed data.

Formed in 1952, the National Security Agency (NSA) was a successor to the Armed Forces Security Agency. Its mission was to monitor, collect, decode and analyze foreign intelligence and counterintelligence data.

Giant supercomputers like the IBM 7950 (Harvest), a customized version of IBM’s Stretch, were installed to handle the flood.

SAS, one of the world’s large advanced analytics companies, began its life as a university research project for the U.S. Department of Agriculture. Its purpose was to analyze crop data and make recommendations to increase output.

But researchers were tired of rounding up information from scattered sources. From 1965-1966, the federal government began looking at the possibility of a national data center that could centrally store information collected by various statistical agencies.

The outcry from citizens was loud and long. There were shouts of Orwell’s 1984. Congress stepped in, holding a series of sessions to discuss the effect of computerized databases on individual’s privacy rights. Bills were presented. On New Year’s Eve, President Ford signed the Privacy Act of 1974 into law.

As the days of free love gave way to the wrath of punk, the government continued to gobble up data for research and defense. It was helped along in its work by the development of a new channel of communication.

The Internet, which had its roots in a Defense Advanced Research Projects Agency (DARPA) project called ARPANET, quickly became entrenched in universities and government research institutions.

In 1985, the U.S. National Science Foundation established the National Science Foundation Network (NSFNET), a hub that connected five supercomputing centers to the National Center for Atmospheric Research.

Then Tim Berners-Lee came up with the idea of setting information free in a World Wide Web. This democratic concept quickly took hold in the collective imagination. By the mid 1990s, there were hundreds, thousands, millions of new data streams crisscrossing the globe.

Which, of course, the government wanted to track:

“We are developing a supercomputer that will do more calculating in a second than a person with a hand-held calculator can do in 30,000 years,” President Clinton boasted in 1996.

In the wake of 9/11, the Defense Department – which had already been experimenting with large-scale data mining and analysis – stepped up its efforts.

In 2002, DARPA started to develop the Total Information Awareness System. This project would use biometrics, language processing, predictive modeling and database technologies to analyze government data sets. It would examine everything from communications to medical and travel records to identify suspicious individuals. Though the project was shuttered in 2003, many aspects of it migrated to other agencies.

The government was also quickly realizing that counterterrorism agencies needed – as a preschool teacher might put it politely – to learn how to share. In 2004, the 9/11 Commission suggested a “network-based information sharing system that transcends traditional government boundaries.”

Agencies were aided in these efforts by an escalating interest in the potential of big data applications – from e-commerce to search engines to science. The lines between commerce, research and government became increasingly blurred.

The government made this clear in March 2012 when it announced the $200 million Big Data Research and Development Initiative. This wake-up call detailed the need for each agency to have a big data strategy and improve their analytic tools and techniques.

Though $200 million may seem like small change in government circles, it can yield big results. According to McKinsey, the government could gain as much as a trillion dollars with the use of data analytics.

But you don’t have to be IBM to get a glimpse of government data. As we’ve seen, Obama’s administration has been particularly interested in encouraging data research. As part of the first U.S. National Action Plan (September 2011), the government made over 390,000 agency data sets available for public consumption.

Breakthroughs in the delivery of care create large amounts of data. Recent health care reforms and ongoing changes to regulations may have further increased the workload. Thanks to HealthData.gov, there is a plethora of data available to the public for use in research, policy making, and business.

One particularly controversial 21st century federal data initiative concerned the National Security Agency:

In May 2013, the Guardian and the Washington Post broke a story on a top-secret program called Prism. According to information contained in an NSA PowerPoint presentation supplied by whistleblower Edward Snowden, the NSA has direct access to data in the systems of Google, Apple, Microsoft, Skype and other giant Internet companies.

Examples of these data include:

And more.

Prism allowed for extensive, in-depth monitoring of live communications and stored information, including data from overseas. Privacy advocates described it as a big step toward a police state.

In response, the U.S. government denied the charge that Prism could be used on domestic targets without a warrant. Officials also noted that it received independent oversight from all three branches of the federal government.

Revelations about other surveillance and big data security projects – Boundless Informant, Bullrun, the British black-ops surveillance program Tempora – continued throughout the summer and fall of 2013.

Which brings us back to President Ford’s 1974 Privacy Act. For although the law asserts that agencies must follow certain principles – “fair information practices” – when gathering and handling personal data, it also allows law enforcement agencies to excuse themselves from the Act.

What’s more, the 2001 U.S.A. Patriot Act significantly increased the government’s powers of surveillance and investigation. Sweeping amendments were made to the:

These amendments included changes to voice mail communications, secret searches, surveillance orders, search warrants and a host of other law enforcement tools.

Amidst the debate about the NSA, the federal government is also responsible for legislation such as the:

Many of these laws are explicitly concerned with protecting the privacy of U.S. citizens and preventing businesses from misusing personal information. Industries including retail and manufacturing are already testing the limits on the uses of individual data for predictive and behavioral analytics.

As data gets bigger and boundaries grow blurrier, arguments in Congress may become much louder.

Last updated: June 2020