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Author: Feras A. Batarseh
Publisher: Academic Press
ISBN: 012812444X
Category : Computers
Languages : en
Pages : 258
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Book Description
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
Author: Feras A. Batarseh
Publisher: Academic Press
ISBN: 012812444X
Category : Computers
Languages : en
Pages : 258
Get Book Here
Book Description
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
Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309212197
Category : Medical
Languages : en
Pages : 200
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Book Description
Chronic diseases are common and costly, yet they are also among the most preventable health problems. Comprehensive and accurate disease surveillance systems are needed to implement successful efforts which will reduce the burden of chronic diseases on the U.S. population. A number of sources of surveillance data-including population surveys, cohort studies, disease registries, administrative health data, and vital statistics-contribute critical information about chronic disease. But no central surveillance system provides the information needed to analyze how chronic disease impacts the U.S. population, to identify public health priorities, or to track the progress of preventive efforts. A Nationwide Framework for Surveillance of Cardiovascular and Chronic Lung Diseases outlines a conceptual framework for building a national chronic disease surveillance system focused primarily on cardiovascular and chronic lung diseases. This system should be capable of providing data on disparities in incidence and prevalence of the diseases by race, ethnicity, socioeconomic status, and geographic region, along with data on disease risk factors, clinical care delivery, and functional health outcomes. This coordinated surveillance system is needed to integrate and expand existing information across the multiple levels of decision making in order to generate actionable, timely knowledge for a range of stakeholders at the local, state or regional, and national levels. The recommendations presented in A Nationwide Framework for Surveillance of Cardiovascular and Chronic Lung Diseases focus on data collection, resource allocation, monitoring activities, and implementation. The report also recommends that systems evolve along with new knowledge about emerging risk factors, advancing technologies, and new understanding of the basis for disease. This report will inform decision-making among federal health agencies, especially the Department of Health and Human Services; public health and clinical practitioners; non-governmental organizations; and policy makers, among others.
Author: United States. Department of Health, Education, and Welfare. Secretary's Advisory Committee on Automated Personal Data Systems
Publisher:
ISBN:
Category : Business records
Languages : en
Pages : 396
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Book Description
Author:
Publisher:
ISBN:
Category : Public administration
Languages : en
Pages : 640
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Book Description
Author: United States. Congress. Senate. Committee on the Judiciary. Subcommittee on Constitutional Rights
Publisher:
ISBN:
Category : Privacy, Right of
Languages : en
Pages : 498
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Book Description
Author: United States. Congress. Senate. Committee on the Judiciary. Subcommittee on Constitutional Rights
Publisher:
ISBN:
Category : Privacy, Right of
Languages : en
Pages : 64
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Author: United States. Congress. Senate. Committee on the Judiciary. Subcommittee on Constitutional Rights
Publisher:
ISBN:
Category : Civil rights
Languages : en
Pages : 1458
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Book Description
Author: John Fantuzzo
Publisher: Springer
ISBN: 1137475110
Category : Political Science
Languages : en
Pages : 196
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Book Description
Multifaceted social problems like disaster relief, homelessness, health care, and academic achievement gaps cannot be adequately addressed with isolated and disconnected public service agencies. The Actionable Intelligence for Social Policy model addresses the limitations to traditional approaches to American public administration.
Author: United States. Congress. House. Post Office and Civil Service
Publisher:
ISBN:
Category :
Languages : en
Pages : 536
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Book Description
Author: United States. Congress. House. Committee on Post Office and Civil Service. Subcommittee on Census and Statistics
Publisher:
ISBN:
Category : Information storage and retrieval systems
Languages : en
Pages : 538
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Book Description
