Training the Next Generation of Clinical Psychological Scientists: A Data-Driven Call to Action.

Abstract

The central goal of clinical psychology is to reduce the suffering caused by mental health conditions. Anxiety, mood, psychosis, substance use, personality, and other mental disorders impose an immense burden on global public health and the economy. Tackling this burden will require the development and dissemination of intervention strategies that are more effective, sustainable, and equitable. Clinical psychology is uniquely poised to serve as a transdisciplinary hub for this work. But rising to this challenge requires an honest reckoning with the strengths and weaknesses of current training practices. Building on new data, we identify the most important challenges to training the next generation of clinical scientists. We provide specific recommendations for the full spectrum of stakeholders-from funders, accreditors, and universities to program directors, faculty, and students-with an emphasis on sustainable solutions that promote scientific rigor and discovery and enhance the mental health of clinical scientists and the public alike. Expected final online publication date for the Annual Review of Clinical Psychology, Volume 18 is May 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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Published Version (Please cite this version)

10.1146/annurev-clinpsy-081219-092500

Publication Info

Gee, Dylan G, Kathryn A DeYoung, Katie A McLaughlin, Rachael M Tillman, Deanna M Barch, Erika E Forbes, Robert F Krueger, Timothy J Strauman, et al. (2022). Training the Next Generation of Clinical Psychological Scientists: A Data-Driven Call to Action. Annual review of clinical psychology, 18(1). 10.1146/annurev-clinpsy-081219-092500 Retrieved from https://hdl.handle.net/10161/24767.

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Strauman

Timothy J. Strauman

Professor of Psychology and Neuroscience

Professor Strauman's research focuses on the psychological and neurobiological processes that enable self-regulation, conceptualized in terms of a cognitive/motivational perspective, as well as the relation between self-regulation and affect. Particular areas of emphasis include: (1) conceptualizing self-regulation in terms of brain/behavior motivational systems; (2) the role of self-regulatory cognitive processes in vulnerability to depression and other disorders; (3) the impact of treatments for depression, such as psychotherapy and medication, on self-regulatory function and dysfunction in depression; (4) how normative and non-normative socialization patterns influence the development of self-regulatory systems; (5) the contributory roles of self-regulation, affect, and psychopathology in determining immunologically-mediated susceptibility to illness; (6) development of novel multi-component treatments for depression targeting self-regulatory dysfunction; (7) utilization of brain imaging techniques to test hypotheses concerning self-regulation, including the nature and function of hypothetical regulatory systems and characterizing the breakdowns in self-regulation that lead to and accompany depression.


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