Federal Data Science

Transforming Government and Agricultural Policy Using Artificial Intelligence

Nonfiction, Computers, Database Management, Business & Finance
Cover of the book Federal Data Science by , Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9780128124444
Publisher: Elsevier Science Publication: September 21, 2017
Imprint: Academic Press Language: English
Author:
ISBN: 9780128124444
Publisher: Elsevier Science
Publication: September 21, 2017
Imprint: Academic Press
Language: English

Federal Data Science serves as a guide for federal software engineers, government analysts, economists, researchers, data scientists, 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, share their data, and deploy advanced analytics to their processes. Using federal data for reactive decision making is not sufficient anymore, intelligent data systems allow for proactive activities that lead to benefits such as: improved citizen services, higher accountability, reduced delivery inefficiencies, lower costs, enhanced national insights, and better policy making.

No other government-dedicated work has been found in literature that addresses this broad topic. This book provides multiple use-cases, describes federal data science benefits, and fills the gap in this critical and timely area. Written and reviewed by academics, industry experts, and federal analysts, the problems and challenges of developing data systems for government agencies is presented by actual developers, designers, and users of those systems, providing a unique and valuable real-world perspective.

  • Offers a range of data science models, engineering tools, and federal use-cases
  • Provides foundational observations into government data resources and requirements
  • Introduces experiences and examples of data openness from the US and other countries
  • A step-by-step guide for the conversion of government towards data-driven policy making
  • Focuses on presenting data models that work within the constraints of the US government
  • Presents the why, the what, and the how of injecting AI into federal culture and software systems
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Federal Data Science serves as a guide for federal software engineers, government analysts, economists, researchers, data scientists, 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, share their data, and deploy advanced analytics to their processes. Using federal data for reactive decision making is not sufficient anymore, intelligent data systems allow for proactive activities that lead to benefits such as: improved citizen services, higher accountability, reduced delivery inefficiencies, lower costs, enhanced national insights, and better policy making.

No other government-dedicated work has been found in literature that addresses this broad topic. This book provides multiple use-cases, describes federal data science benefits, and fills the gap in this critical and timely area. Written and reviewed by academics, industry experts, and federal analysts, the problems and challenges of developing data systems for government agencies is presented by actual developers, designers, and users of those systems, providing a unique and valuable real-world perspective.

More books from Elsevier Science

Cover of the book Veterinary Toxicology by
Cover of the book Earth as an Evolving Planetary System by
Cover of the book Introduction to Homeland Security by
Cover of the book Encyclopedia of Separation Science by
Cover of the book Annual Reports in Medicinal Chemistry by
Cover of the book Recombinant DNA and Genetic Experimentation by
Cover of the book Transmission and Distribution Electrical Engineering by
Cover of the book Climate Change by
Cover of the book Pharmacology of Neuromuscular Function by
Cover of the book Practical Anonymity by
Cover of the book Evidence-Based Adjunctive Treatments by
Cover of the book The Western Alps, from Rift to Passive Margin to Orogenic Belt by
Cover of the book Nuclear Mechanics and Genome Regulation by
Cover of the book SAE and the Evolved Packet Core by
Cover of the book Simplified Design of Data Converters by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy