Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions

690 kr

Läs direkt i Bokus Reader – eller ladda ned till din enhet

Beskrivning

The Office of the Under Secretary of Defense (Personnel & Readiness), referred to throughout this report as P&R, is responsible for the total force management of all Department of Defense (DoD) components including the recruitment, readiness, and retention of personnel. Its work and policies are supported by a number of organizations both within DoD, including the Defense Manpower Data Center (DMDC), and externally, including the federally funded research and development centers (FFRDCs) that work for DoD. P&R must be able to answer questions for the Secretary of Defense such as how to recruit people with an aptitude for and interest in various specialties and along particular career tracks and how to assess on an ongoing basis service members'' career satisfaction and their ability to meet new challenges. P&R must also address larger-scale questions, such as how the current realignment of forces to the Asia-Pacific area and other regions will affect recruitment, readiness, and retention.

While DoD makes use of large-scale data and mathematical analysis in intelligence, surveillance, reconnaissance, and elsewhere—exploiting techniques such as complex network analysis, machine learning, streaming social media analysis, and anomaly detection—these skills and capabilities have not been applied as well to the personnel and readiness enterprise. Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions offers and roadmap and implementation plan for the integration of data analysis in support of decisions within the purview of P&R.

Produktinformation

Utforska kategorier

Hoppa över listan

Mer från samma författare

Hoppa över listan

Du kanske också är intresserad av

Board on Atmospheric Sciences and Climate, Climate Research Committee, Board on Mathematical Sciences and Their Applications, Committee on Applied and Theoretical Statistics, Space Studies Board, Committee on Earth Studies, Division on Earth and Life Studies, Division on Engineering and Physical Sciences, National Research Council, Martha McConnell, Scott Weidman - Uncertainty Management in Remote Sensing of Climate Data, E-bok

Uncertainty Management in Remote Sensing of Climate Data

Board on Atmospheric Sciences and Climate, Climate Research Committee, Board on Mathematical Sciences and Their Applications, Committee on Applied and Theoretical Statistics, Space Studies Board, Committee on Earth Studies, Division on Earth and Life Studies, Division on Engineering and Physical Sciences, National Research Council, Martha McConnell, Scott Weidman

E-bok
2009

404 kr

National Research Council, Division on Engineering and Physical Sciences, Division on Earth and Life Studies, Committee on Earth Studies, Space Studies Board, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Their Applications, Climate Research Committee, Board on Atmospheric Sciences and Climate, Scott Weidman, Martha McConnell - Uncertainty Management in Remote Sensing of Climate Data, Häftad

Uncertainty Management in Remote Sensing of Climate Data

National Research Council, Division on Engineering and Physical Sciences, Division on Earth and Life Studies, Committee on Earth Studies, Space Studies Board, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Their Applications, Climate Research Committee, Board on Atmospheric Sciences and Climate, Scott Weidman, Martha McConnell

Häftad, 2009

494 kr

National Research Council, Division on Engineering and Physical Sciences, Board on Mathematical Sciences and Their Applications, Committee on Applied and Theoretical Statistics, Committee on the Analysis of Massive Data - Frontiers in Massive Data Analysis, Häftad

Frontiers in Massive Data Analysis

National Research Council, Division on Engineering and Physical Sciences, Board on Mathematical Sciences and Their Applications, Committee on Applied and Theoretical Statistics, Committee on the Analysis of Massive Data

Häftad, 2013

423 kr

Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Their Applications, Division on Engineering and Physical Sciences, National Research Council, Maureen Mellody - Training Students to Extract Value from Big Data, E-bok

Training Students to Extract Value from Big Data

Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Their Applications, Division on Engineering and Physical Sciences, National Research Council, Maureen Mellody

E-bok
2015

471 kr