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Your search for Data Management found 160 results.

Rebecca Norton

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Rebecca Norton is a CNA expert in business analysis.

Norton-Rebecca Rebecca Norton is a CNA expert in business analysis. /images/Experts/Norton-Rebecca.webp Rebecca Norton is an expert in business analysis. Her research includes the grants domain as part of the Grants Management Modernization (GMM) project and aeronautical information domain within the Federal Aviation Administration, Air Traffic Organization. Norton has spent eight years ... has supported the Federal Aviation Administration since 2010 and has worked with business units to understand processes and data with respect to airport and navaid information, obstacles, and Notice

Matt Prebble

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Matt Prebble is a CNA expert in data analytics, operations research, machine learning and space systems.

Prebble-Matt Matt Prebble is a CNA expert in data analytics, operations research, machine learning and space systems. /images/Experts/Prebble-Matt.webp Matt Prebble is an expert in data analytics, operations research, machine learning and space systems. He supports studies and projects at the Federal Aviation Administration and U.S. Navy. Prebble was part of the CNA team that received the CNA CEO Teamwork Award for performing a congressionally mandated study to investigate the organization and management of a new military space force. Prior to joining CNA, he worked as a space systems

M. Carrie Shelton

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Carrie Shelton is a CNA expert in emergency management, public health emergency preparedness, and justice system improvement.

Shelton-Carrie Carrie Shelton is a CNA expert in emergency management, public health emergency preparedness, and justice system improvement. /images/Experts/Shelton-Carrie.webp Carrie Shelton is an expert in emergency management, public health emergency preparedness and justice system improvement. She focuses on real-world event and critical incident analysis; exercise design and evaluation ... programs for federal entities, and developed data analysis and visualization tools. Shelton has a doctorate in biomedical science from the Weill Medical College of Cornell University and a Bachelor

Sydney Stewart

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Sydney Stewart is a CNA specialist in emergency preparedness, response, and recovery operations.

Stewart-Sydney Sydney Stewart is a CNA specialist in emergency preparedness, response, and recovery operations. /images/Experts/Stewart-Sydney.webp Sydney Stewart is an expert in emergency management and homeland security, specializing in large-scale incident planning and response and resilience of critical community lifeline networks and infrastructure systems.  At CNA, Stewart has supported ... the use of cellphone-derived location data as a means of understanding hurricane evacuation behavior. She has also been recognized with multiple CNA Institute for Public Research Deployer Awards

Sarah Tidman

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Sarah Tidman is a CNA expert in emergency management, public health, and medical issues and preparedness activities.

Tidman-Sarah Sarah Tidman is a CNA expert in emergency management, public health, and medical issues and preparedness activities. /images/Experts/Tidman-Sarah.webp Sarah Tidman is an expert in emergency management, public health, and medical issues and preparedness activities. She specializes in designing and evaluating preparedness exercises for all levels of government and has deployed ... , Tidman manages and participates in preparedness and corrective action projects and events. For these efforts, she has designed and evaluated over 70 exercises, analyzed data to develop after-action

Arpita Verma

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Verma-Arpita /images/Experts/Verma-Arpita.webp Arpita Verma is an expert in optimization, modeling, and simulation in CNA's Data Science Division. Her research focuses on the employment of operational concepts to shape future force structure. Some of her notable projects include leading the development of a suite of machine learning and optimization models to inform employment strategies ... award for project management excellence. Verma holds a Master of Science degree in computer science, with a focus on machine learning and artificial intelligence. Arpita Verma Research Analyst

Rebekah Yang

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Rebekah Yang is a CNA expert in the area of artificial intelligence and machine learning (AI/ML) for FAA NextGen and a specialist in data visualization and modeling.

Yang-Rebekah Rebekah Yang is a CNA expert in the area of artificial intelligence and machine learning (AI/ML) for FAA NextGen and a specialist in data visualization and modeling. /images/Experts/Yang-Rebekah.webp Rebekah Yang is an expert in the area of artificial intelligence and machine learning (AI/ML) for FAA NextGen and a specialist in data visualization and modeling. Her research focuses ... for the FAA's Uncrewed Aircraft Systems (UAS) Traffic Management (UTM) system. In addition, she is a key contributor to CNA's disease spread model for corrections (SAFER-C) and develops executive-level

CNA Wins First Phase of U.S. Department of Transportation Intersection Safety Challenge

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A submission by CNA’s Center for Data Management and Analytics was selected earlier this week to advance to the next round of the U.S. Department of Transportation (DOT) Intersection Safety Challenge.

A submission by CNA’s Center for Data Management and Analytics was selected earlier this week to advance to the next round of the U.S. Department of Transportation (DOT) Intersection Safety Challenge. /images/news/PressRelease.png CNA Wins First Phase of U.S. Department of Transportation Intersection Safety Challenge A submission by CNA's Center for Data Management and Analytics was selected ... Center for Data Management and Analytics. "We are looking forward to the next phase of this challenge." The concept development team under her leadership included CNA scientists and engineers

Improving the DOD Manpower Management Workforce

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The process for determining and validating requirements, associated manpower, and the workforce mix necessary to achieve an organization’s mission requires specialized knowledge, skills, and abilities. Unlike other career fields, however, there is no common training or certification process that ensures minimum standards and competencies among personnel performing manpower functions. This project examines whether the goal of common training and standards for all personnel performing manpower management (MM) functions in DOD is achievable and desirable. We find evidence that there are MM training gaps and inefficiencies in DOD and that, in general, MM functions are similar enough to allow standardized training and education. The data necessary to show that improving the quality of MM workforces will improve MM processes and outcomes is lacking, however. We recommend that DOD collect the necessary data to further examine the impact of MM workforce quality on MM outcomes and processes.

the necessary data to further examine the impact of MM workforce quality on MM outcomes and processes. The manpower management (MM) process in the Department of Defense (DOD) determines the quantity and mix ... Improving the DOD Manpower Management Workforce Improving the DOD Manpower Management Workforce The process for determining and validating requirements, associated manpower, and the workforce mix ... management (MM) functions in DOD is achievable and desirable. We find evidence that there are MM training gaps and inefficiencies in DOD and that, in general, MM functions are similar enough to allow

ai and autonomy in russia: Issue 45, September 7, 2022

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the overall data management methodology. Tsifra CEO departs for new project Igor Bogachev, known for his senior positions in the Russian office of SAP and the Skolkovo IT cluster, is leaving the post ... description, Grad MLRS systems were firing on Ukrainian positions practically nonstop with the help of UAVs, whose targeting data was transmitted to the field headquarters and rocket-artillery battery ... , the Russian internet services and social media company. The new platform, “VK Cloud Solutions,” is designed to “combine convenient tools for experimenting with data and working with machine learning models