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Federal Data Science

Transforming Government and Agricultural Policy Using Artificial Intelligence

Specificaties
Paperback, blz. | Engels
Elsevier Science | e druk, 2017
ISBN13: 9780128124437
Rubricering
Elsevier Science e druk, 2017 9780128124437
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Samenvatting

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.

Specificaties

ISBN13:9780128124437
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

<p>Section 1: Injecting Artificial Intelligence into Governmental Systems<br>1.  A Day in the Life of a Federal Analyst and a Federal Contractor <br>2. Disseminating Government Data Effectively in the Age of Open Data <br>3. Machine Learning for the Government: Challenges and Statistical Difficulties <br>4. Making the Case for Artificial Intelligence at the Government: Guidelines to Transforming Federal Software </p> <p>Section 2:  Governmental Data Science Solutions Around the World <br>5. Agricultural Data Analytics for Environmental Monitoring in Canada <br>6. France’s Governmental Big Data Analytics: From Predictive to Prescriptive Using R<br>7. Agricultural Remote Sensing and Data Science in China <br>8. Data Visualization of Complex Information Through Mind Mapping in Spain and the European Union </p> <p>Section 3:  Federal Data Science Use Cases at the US Government <br>9. A Deployment Life Cycle Model for Agricultural Data Systems Using Kansei Engineering and Association Rules<br>10. Federal Big Data Analytics in the Health Domain: An Ontological Approach to Data Interoperability <br>11. Geospatial Data Discovery, Management, and Analysis at National Aeronautics and Space Administration<br>12. Intelligent Automation Tools and Software Engines for Managing Federal Agricultural Data <br>13. Transforming Governmental Data Science Teams in the Future</p>

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        Federal Data Science