Federal data science: transforming government and agricultural policy using artificial intelligence

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 agen...

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Bibliographic Details
Other Authors: Batarseh, Feras (Editor), Yang, Ruixin (Editor)
Format: Electronic eBook
Language:English
Published: London Academic Press 2018
Subjects:
Online Access:FAW01
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Summary: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
Item Description:Includes bibliographical references and index
Physical Description:1 online resource
ISBN:9780128124444
012812444X

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