Data science is used by state and national governments for a wide range of uses. These include topics in cyber security, voter benefits, climate change, social causes, and other similar use cases that are geared toward public policy and public benefits.

Some examples include the following:

• Climate change: One of the most popular topics among climate change proponents, there is extensive machine learning related work that is being conducted around the globe to detect and understand the causes of climate change. (Source: https://toolkit.climate.gov).
• Cyber security: The use of extremely advanced machine learning techniques for national cyber security is evident and well known all over the world, ever since such practices were disclosed by consultants at security firms a few years back. Security-related organizations employ some of the most advanced hardware and software stacks for detecting cyber threats and prevent hacking attempts. (Source: https://www.csoonline.com/article/2942083/big-data-security/cybersecurity-is-the-killer-app-for-big-data-analytics.html).
• Social causes: The use of data science for a wide range of use cases geared toward social good is well known due to several conferences and papers that have been organized and released respectively on the topic. Examples include topics in urban analytics, power grids utilizing smart meters, criminal justice. (Source: https://dssg.uchicago.edu/data-science-for-social-good-conference-2017/agenda/).