Jared Freeman

Resume

Jared Freeman, Ph.D., is Chair of the Scientific Advisory Board of Aptima, Inc. 

Dr. Freeman was Chief Scientist and a Corporate Fellow at Aptima until his retirement from those positions in 2023. In his executive role there, he assessed the quality of Aptima’s scientific and technical work through reviews with customers and staff, and he oversaw corporate S&T resources, including Aptima’s Institutional Review Board, Internal Research & Development program, and Scientific Advisory Board. Dr. Freeman was most recently a Principal Investigator for the DARPA programs Artificial Social Intelligence for Successful Teams (ASIST) and Synergistic Discovery and Design (SD2). He managed a multi-company Air Force program to create robust intelligent agents. His prior technical work spans the fields of training, modeling, measurement, human factors, and critical thinking

Training – Dr. Freeman has served as Principal Investigator on projects to define, design, develop, and validate training systems that enhance, fluid intelligence across domains, command decision making skills across Navy platforms, small unit leadership skills among infantry, unit performance in infantry operations, optimal selection and sequencing of training content in air operations command, intelligent adaptation of feedback and after action reviews in STEM, and analytic and decision skills for information operations. He has managed projects to develop training systems that advance, decision making under uncertainty in Naval air defense, the agility of enemy AI in tactical aviation training systems, critical thinking skills among infantry, robotic systems for operating UUVs to inspect warships, analysis of defenses by military inspection teams, tactical capability of Naval airwings, and communication expertise of AF air warfare controllers.

Modeling – Dr. Freeman has served as Principal Investigator on projects to define, design, develop, and validate models that support tactical planning and decision making in mounted operations, optimal selection and sequencing of training content in air operations command, and staffing new ships. He has managed projects that model defensive cyber operations, agile enemy AI in tactical air, analytics for FINTEL and HUMINT, staff and technologies in future operations centers, collaboration in joint task forces, safety and efficiency in a pediatric oncology ward, teams for future destroyers, staff and processes in Maritime Operations Centers, robotic systems for operating UUVs to inspect warships, and readiness of personnel for future aircraft carriers.

Measurement – Dr. Freeman has served as Principal Investigator on projects to define and operationalize measures of discovery and design in synthetic biology, development of fluid intelligence across domains, command decision making skills across Navy platforms, small unit leadership skills among infantry, innovation in brainstorming and planning meetings, and unit performance in infantry operations. He has managed projects that develop measures of expert decision processes in Naval air defense, analysis and decision skills for information operations, decision making under uncertainty in Naval air defense, shared interpretation of commander's intent in infantry operations, communication expertise among AF air warfare controllers, analysis of defenses by military inspection teams, tactical capability of Naval airwings, and team state and performance across domains.

Human Factors – Dr. Freeman has served as Principal Investigator or manager of projects that address human factors issues in planning defensive cyber operations, cognitive task analysis, technology usability across domains, robotic systems for operating UUVs to inspect warships, and safety and efficiency in a pediatric oncology ward. 

Critical Thinking – Dr. Freeman has served as Principal Investigator or manager of projects that explore the development of fluid intelligence and that address issues of discovery and critical thinking in synthetic biology, command decision making between Navy platforms, small unit leadership among infantry, expert decision making in Naval air defense, and mission planning for infantry missions.

Prior to joining Aptima, Dr. Freeman was a scientist at Cognitive Technologies, where he developed a highly automated approach to assessing student knowledge of tactical situations, as well as instructional technology that improved situation assessment and planning by Army officers. Dr. Freeman consulted to Bell Labs for two years, where he conducted research concerning how experts diagnose failures in complex software systems, co-developed a course based on that research, and taught it nationally. 

Dr. Freeman served as Chair of the NDIA Human Systems Division from 2017-2019. He has served as an occasional editor to journals in human factors, psychology, and engineering.

Dr. Freeman has published more than 120 papers in journals, books, and conference proceedings concerning these and other S&T initiatives. He has presented or published more than 48 times in other venues. He and colleagues hold a provisional patent for a novel technique for accelerating human learning, and a patent for a  dynamic process modeling technique useful in designing and evaluating human teams. 

Dr. Freeman received a Ph.D. in Cognitive Psychology from Columbia University and a M.A. in Educational Technology from Teachers College, Columbia University. 

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