Suchergebnisse - Schulker, David

Machine learning in Air Force human resource management: volume 2, A framework for vetting use cases with example applications

von Walsh, Matthew, Robson, Sean, Robbert, Albert A. 1944-, Schulker, David

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Air Force readiness assessment: how training infrastructure can provide better information for decisionmaking

von Yonekura, Emmi, Schulker, David, Chindea, Irina A.

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How the U.S. Air Force can incorporate new data technologies into its talent management system: framework and use cases for technology-enabled talent management

von Schulker, David, Walsh, Matthew, Lim, Nelson, Kochhar, Ajay K.

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Frameworks for assessing USEUCOM efforts to inform, influence, and persuade

von Matthews, Miriam, Paul, Christopher 1971-, Schulker, David, Stebbins, David

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Representation of persons with targeted disabilities: an analysis of barriers to employment in the Department of Defense Civilian Workforce

von Matthews, Miriam, Schulker, David, Hall, Kimberly Curry, Haddad, Abigail, Lim, Nelson

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Women's representation in the U.S. Department of Defense workforce: addressing the influence of veterans' employment

von Schulker, David, Matthews, Miriam

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Building a healthy MQ-1/9 RPA pilot community: designing a career field planning tool

von Terry, Tara L., Hardison, Chaitra M., Schulker, David, Hou, Alexander C., Payne, Leslie Adrienne

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Safe use of machine learning for Air Force human resource management: volume 4, evaluation framework and use cases

von Snoke, Joshua, Walsh, Matthew, Williams, Joshua, Schulker, David

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Machine learning-enabled recommendations for the Air Force Officer assignment system: volume 5

von Calkins, Avery, Graham, Monique, Setodji, Claude Messan, Schulker, David, Walsh, Matthew

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Benchmarking demographic diversity in Air Force functional areas against near-equivalent civilians: the Air Force occupational diversity benchmarking workbooks

von Calkins, Avery ca. 20./21.Jh, Berglund, Tiffany, Schulker, David, Mariano, Louis T.

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Air Force operational test and training infrastructure: barriers to full implementation

von Toukan, Mark, Walsh, Matthew, Kochhar, Ajay K., Yonekura, Emmi, Schulker, David

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Can Artificial Intelligence help improve Air Force talent management?: an exploratory application

von Schulker, David, Lim, Nelson, Matthews, Luke

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Advancement and retention barriers in the U.S. Air Force civilian white collar workforce: implications for demographic diversity

von Keller, Kirsten M., Lytell, Maria C., Schulker, David

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Evaluating the impact of a total force service commitment policy on Air Force pilot manning: an exploratory application of inventory modeling

von Schulker, David, Terry, Tara L.

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Combining entrepreneurship and web development for High School students: a pilot evaluation of the startup tech program and high school students' college and career aspirations

von Master, Benjamin K., Schulker, David, Grimm, Geoffrey E., Xenakis, Lea

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Leveraging machine learning to improve human resource management: volume 1, key findings and recommendations for policymakers

von Schulker, David, Walsh, Matthew, Calkins, Avery ca. 20./21.Jh

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The personnel records scoring system: volume 3, a methodology for designing tools to support Air Force human resources decisionmaking

von Schulker, David, Williams, Joshua, Montemayor, Cheryl K., Zhang, Li Ang, Walsh, Matthew

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Recommended approaches for general officer promotions in the U.S. Space Force: the stars above

von Schulker, David, Harrington, Lisa M., Robbert, Albert A. 1944-

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Developing an Air Force retention early warning system: concept and initial prototype

von Schulker, David, Harrington, Lisa M., Walsh, Matthew

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Department of the air force officer talent management reforms: implications for career field health and demographic diversity

von Walsh, Matthew, Schulker, David, Lim, Nelson

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