Former president Barack Obama was one of those in charge of the adoption and widespread application of data science in governmental operations. To further advance the cause, he approved spending more than $200 million on Big Data research and developed the data.gov platform. The Government now uses data science and its applications better to provide the general populace with essential services.
Here are some key examples of data science’s application by the Government.
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Health-related Research and Studies
The National Institutes of Health (NIH) launched the Big Data to Knowledge (BD2K) initiative to advance biomedical research. Moreover, BD2K helps to increase civic engagement and promote knowledge discovery. In order to better understand illnesses and human health, it offers the capability to gather, alter, and evaluate big biomedical data.
Under a recently formed Technology Transfer initiative, the Food and Drug Administration (FDA) uses big data technology to analyze and comprehend the patterns of food-borne illnesses. Additionally, it uses data science to react to compromised products in the food chain more successfully. While the Government is supporting research that can identify the early warning signals of suicidal tendencies from social media behaviour, the Center for Disease Control (CDC) scours social media to track the infection spread.
Governmental Control and Education
The U.S. The Department of Education is creating learning analytics and data mining technologies to track and correct a student’s online study habits and instantly identify ennui based on key click patterns.
The Notice and Comment Project uses advanced analytics and natural language processing to follow changes in laws, policies, and regulations and update the more than four million public documents it makes available.
Energy exploration and environmental protection
Using Big Data techniques, the National Center for Atmospheric Research combines data and research from academic institutions, utility providers, and other interested parties to provide more precise weather forecasts and, as a result, identify energy production and requirements.
The U.S. Forest Service and the National Aeronautics and Space Administration (NASA) are collaborating to improve an integrated data strategy that forecasts ground conditions, weather, and the likelihood of forest fires.
Preventing crime
The United States Department of Homeland Security (DHS) is one of the top government organizations utilizing data science. The agency uses big data tactics that include interoperability to combine and evaluate data from numerous security agencies and predict or uncover potential dangers to the nation.
Palantir Technologies, which receives funding from the CIA, is responsible for developing analytical software that fights terrorism by identifying roadside explosives and cybercrime by monitoring transactions with suspicious patterns. The Automatic License Plate Recognition (ALPR) system, which identifies vehicles owned by people with lapsed warranties, is available to all law enforcement departments. Moreover, predictive technology aids in connecting certain repeat offenders to specific offenses.
Study of the Financial Markets and Fraud Detection
Using data science, the Federal Housing Authority (FHA) forecasts claim rates, default rates, and repayment rates. They also create cash flow models using the gathered data, which aid in calculating how much premium should be paid to maintain a positive cash flow.
The Securities Exchange Commission (SEC) uses the same big data method to monitor the financial market and spot shady trading activity as the Social Security Administration (SSA) does to evaluate disability claims and spot potentially fraudulent claims.
Conclusion
The Government still uses data science in its daily operations despite privacy concerns. As shown above, data science can be more beneficial than harmful with the appropriate balance. A report by White House officials tasked with assessing the consequences and potential of Big Data is highlighted in a release by the Smart Data Collective. As the paper says, “Positive benefits of the technology can outweigh any new downsides.”
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