Predicting individual differences in performance
at ORAU Workforce Solutions

Date Posted: 12/23/2018

Opportunity Description

Research Opportunity Title: Predicting individual differences in performance by examining interactions of brain networks and social networks People do not function in isolation: we are heavily influenced by our interactions with others, and our behaviors, opinions, and decisions can change based on context. Similarly, brain regions do not process the world in isolation, but instead, regions dynamically form networks to achieve computational processing needs and then dissolve to reform in alternative network communities to support evolving task contexts. Our collaborative research group employs a rich set of analysis tools (Garcia et al., 2017; Ashourvan et al., 2017), largely borrowed from network science (Telesford et al., 2016 & 2017), to study these dynamic interactions of social interactions and brain connectivity, and we have recently begun to unite these interests to study the interactions of social and brain networks directly (Schmälzle et al, 2017). Our goal is to understand what physiological measurements can be used to predict an individual’s task performance, including capabilities to predict performance variability that occurs based on context. We have studied individual differences in both structural and functional brain connectivity (Yeh et al., 2016 & 2017; Vettel et al., 2015; Kahn et al., 2017; Passaro et al., 2017), and we have collected social network differences from online social media (Schmälzle et al, 2017) and questionnaire data. We are a multidisciplinary team, and we are always seeking new collaborators who can share expertise from other disciplines or research domains that provide new avenues to better understand the relationship between human physiology and environmental context, with the explicit focus to find methods to predict task performance. In the next 30 years, we envision that our science will enable technology that can dynamically adapt to the task needs of human users. Keywords: neuroscience, network science, signal processing, social networks, predicting performance, adaptive technology, enhancing performance, individual differences, human states Click here to apply online

Opportunity Snapshot

About Us

Oak Ridge Associated Universities (ORAU) administers Science, Technology, Engineering and Mathematics (STEM) research participation programs for civilians such as:

The U.S. Army Research Laboratory (ARL) Research Associateship Program (RAP) allow Postdoctoral Fellows, Journeyman Fellows (undergraduate and graduates students and recent graduates), Senior Researchers, and Summer Faculty engage in research initiatives of their own choice, that are compatible with the interests of the government and will potentially contribute to the general effort of the ARL. Scientists and engineers at ARL help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs.

Research opportunities include, but are not limited to the following disciplines: Aerospace Engineering, Anthropology, Archeology, Biology, Biochemistry, Biological Engineering, Biomechanical Engineering, Biomedical Engineering, Chemical Engineering, Chemistry, Computer Science, Computer Engineering, Electrical Engineering, Environmental Health Risk Assessment, Environmental Science, Entomology, Epidemiology, Ergonomics, Geology, Health Education Mechanical Engineering, Materials Science, Mathematics, Nanotechnology, Photonics, Physics, Public Health Economics, Public Health Policy, and more.

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