The Use of Ontologies to Accelerate the Behavioral Sciences: Promises and Challenges
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2023-10-01
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Abstract
Behavioral scientists produce a vast amount of research every year yet struggle to produce cumulative knowledge that is easily translated in applied settings. This article summarizes a National Academies of Sciences, Engineering, and Medicine consensus report on the development and use of ontologies to accelerate the behavioral sciences. The report examines key challenges in the behavioral and psychological sciences motivating an evaluation of ontology use and development in the behavioral sciences. The advantages of ontologies, including enhanced organization and retrieval of research evidence, improved scientific communication, reduction of duplication, and enhanced scientific replicability, are highlighted. Challenges that may impede the development and use of ontologies in the behavioral sciences are also considered. The article concludes with future directions for fulfilling the promise of ontologies to accelerate the behavioral and psychological sciences.
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Sharp, C, RM Kaplan and TJ Strauman (2023). The Use of Ontologies to Accelerate the Behavioral Sciences: Promises and Challenges. Current Directions in Psychological Science, 32(5). pp. 418–426. 10.1177/09637214231183917 Retrieved from https://hdl.handle.net/10161/31182.
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Timothy J. Strauman
Professor Strauman’s work is grounded in the premise that mental health and well-being are fundamentally shaped by self-regulation—how individuals pursue goals, respond to challenges, and adapt over time. His research integrates clinical psychology, affective neuroscience, and behavioral science to characterize the psychological and neurobiological systems that support self-regulation, and to understand how disruptions in these systems contribute to vulnerability to depression and related conditions.
Across a program of experimental, clinical, and neuroimaging research, his work has examined self-regulation as a multi-level system, including its cognitive and motivational mechanisms, its development through socialization, and its links to affective and immunological processes. This work has also informed the development and evaluation of novel interventions targeting self-regulatory dysfunction.
More recently, his work has focused on translating this science of self-regulation into scalable approaches to intervention and prevention. This includes the development of new models of treatment that target regulatory processes across disorders, as well as efforts to extend effective self-regulation skills beyond traditional clinical settings and into everyday contexts. This translational focus reflects a broader aim of building integrated, system-level approaches to mental health that can improve outcomes at population scale.
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