Federal Data Science: Transforming Government and Agricultural Policy using Artificial Intelligence

Federal Data Science serves as a guide for federal software and data engineers, government analysts, economists and engineering managers in deploying data analytics methods to governmental processes. Driven by open government (2009) and big data (2012) initiatives, federal agencies have a serious need to implement intelligent data management methods and advanced analytics. Using federal data for reactive decision making is not sufficient anymore, comprehensive intelligent data systems allow for proactive and dynamic activities, such as: improved citizen services, reduced delivery inefficiencies, operations that lower costs, and gain new national insights. No other government-dedicated work has been found in literature that addresses this broad topic. This book provides multiple use cases, describe federal data process, and fills the gap in this critical and timely area. Written and reviewed by federal analysts, the problems and challenges of developing data systems for government agencies is presented by actual users of those systems providing unique and valuable real-world insight. Focuses on understanding and working with the constraints of the US governmentPresents a range of models, use-cases, and examples across multiple organizationsProvides foundational insights into government data resources and requirements INDICE: Section 1: An Introduction to Federal Data Science 1. An introduction to Data Science and Big Data Analytics 2. The Federal Data Lifecycle 3. Data Migration between Federal Agencies 4. Federal Data Validation, Security and Privacy Section 2: Federal Case Studies and their Challenges 5. Case studies from the Interior Departments (DOC, USDA, DOE, and DOI) 6. Critical Requirements from the Foreign Affairs Departments (DHS, DOD, DOS) 7. Lessons Learnt from the Civil Departments (DoEd, HHS, DOL) Section 3: Injecting Advanced Analytics at the US Government 8. Supply and Use Business Rules and Data Management 9. Big Data Methods for US Imports and Exports 10. Analytics for Nationwide Animal Products Management 11. Fruits and Vegetables Production Business Rules 12. Regression models for Prices of Commodities in the US 13. Association Rules Analytics for Data Testing Section 4: Solutions and Future Directions 14. Federal Software Tools and Technologies 15. Data Analytics Vendors and Federal Services 16. Data Controversies: Pubic Privacy vs. National Security 17. Future Directions of Federal Data Science

• ISBN: 978-0-12-812443-7
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 216
• Fecha Publicación: 01/11/2017
• Nº Volúmenes: 1
• Idioma: Inglés