Data Analysis of Security Clearance Appeal Decisions

reportActive / Technical Report | Accesssion Number: AD1084482 | Open PDF

Abstract:

The decision-making process by which security clearance decisions are made is one that affects millions of employees and contractors working in the federal government and the defense industry. Unfortunately for applicants seeking a security clearance, and the organizations that sponsor them, any insights into this decision-making process are not validated or codified. For the Department of Defense (DoD) and other federal agencies, the issue of whom to trust with access to classified information is complicated by the complexity of each individual case and the potential for falsification(s) by applicants. This project seeks to use statistical methods by which the decision-making process can be codified. Best practices for applicants and sponsoring organizations will be developed in concordance with the results of these findings.

Author(s):
Miller, Sarah E.
Author Organization(s):
Carnegie Mellon University Software Engineering Institute
Funding Organization(s):
Publication Date:
2019 Dec 31
Pagination:
0

Security Markings

RECORD

Collection: TRECMS
Subject Terms
Modernization Areas:
Cyber
Communities of Interest:
Biomedical
Descriptor(s):
national security, insider threats, personnel management, employment, defense industry, department of defense, engineering, governments, best practices, criminals, traumatic stress disorder, information science, national governments, standards, victims, data sets, domestic violence
Keyword(s):
security clearances, investigative process, Binary Logistic Regression, Employee Assistance Programs
Subject Categories:
Behavioral and Social Sciences
Update Date:
2020 Mar 16