Federal Data Science: Transforming Government and Agricultural Policy Using Artificial Intelligence - Softcover

Softcover

ISBN 10: 0128124431 ISBN 13: 9780128124437

Publisher: Academic Press, 2017

Synopsis

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

About this title

Review

A practical guide to deploying advanced data analytics and intelligent data management methods in the federal government

About the Author

Feras A. Batarseh is a Research Assistant Professor in the College of Science at George Mason University (GMU). His research spans the areas of Data Science, Artificial Intelligence, Federal Data Analytics, and Context-Aware Software Systems. Dr. Batarseh obtained his Ph.D. and M.Sc. in Computer Engineering from the University of Central Florida (UCF) (in 2007 and 2011); and a Graduate Certificate in Project Leadership from Cornell University (in 2016). His research work has been published at prestigious journals and international conferences, as well as several book chapters. He taught data science and software engineering courses at multiple universities including GMU, UCF as well as George Washington University (GWU). Prior to joining GMU, Dr. Batarseh was a Program Manager with the Data Mining and Advanced Analytics team at MicroStrategy. Throughout his career, Dr. Batarseh worked with multiple federal and state government agencies on a variety of data science applications and analytical deployments. Additionally, he helped several organizations develop intelligent systems, make sense of their data, and gain insights into improving their operations. He is currently working with the Economic Research Services (ERS at the US Department of Agriculture) towards building intelligent data management systems. He is a member of IEEE, ACM, BICA and STP professional communities. For more information and contact details, please refer to his webpage: https://cos.gmu.edu/ggs/people/faculty-staff/feras-batarseh-2/.

Edition details

• Publisher: Academic Press
• Publication date: 2017
• ISBN 10: 0128124431
• ISBN 13: 9780128124437
• Binding: Paperback
• Language: English
• Number of pages: 256
• Editor: Batarseh Feras A.