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9 Crosscutting Conclusions and Recommendations and Exceptional Accomplishments
Pages 134-140

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From page 134...
... Leveraging Scientific Talent As research problems have evolved to include multidisciplinary interactions, there has been a concomitant growth in collaboration among researchers, both within ARL and with those from the larger external community. In this research environment, it is important to acknowledge that common foundational technical skills may exist in ARL in different campaign thrusts, where they are being applied in uniquely different ways.
From page 135...
... In looking at research related to human-machine or human-information interaction, it is clear that individual projects within campaign thrusts would benefit if collaborations with researchers with parallel or complementary skills in other campaigns could be facilitated. A systematic mapping of primary and secondary skill sets of the technical staff at ARL would be highly beneficial in this context.
From page 136...
... Stewardship of Data The explosive growth of data -- observational, experimental, and computational -- and the rapid and concurrent development of new machine learning techniques is opening new opportunities to extract insights and patterns and create predictive models of natural phenomena and human behavior, while also preserving unique or historical context and experiences. Following theory, experiment, and computational modeling, big data analytics and deep learning have been called the "fourth paradigm" of scientific discovery.
From page 137...
... In addition, the group has built impressive research facilities. Among the applications addressed by the quantum sciences program is absolutely secure communications, a major challenge for a highly mobile and ever-changing battle scene where your opponent very likely will be able to receive your communications and thus unbreakable encryption is essential.
From page 138...
... laboratories while not duplicating academic or industrial research. Another exceptional work is the nonlinear optical materials and coatings that are frequency agile in the visible spectrum to passively protect Army optical sensors from directed energy laser threats such as that from straight damage, jamming, dazzling, and so on.
From page 139...
... The Human Cyber Performance group within the Humans in Multiagent Systems program has demonstrated foresight into effective collaboration by its initiation of promising work in human aspects of cybersecurity utilizing the Cyber Human Integrated Modeling and Experimentation Range Army (CHIMERA) laboratory, jointly developed by ARL's Human Research and Engineering Computational and Information Sciences Directorate (CISD)
From page 140...
... Current tools, including the Improved Performance Research Integration Tool (IMPRINT) and digital clothing and equipment models, provide analytical capabilities that can be costeffectively applied early in the acquisition cycle as well as later during system development.


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