This Article argues for better integration between Veterans Treatment Courts (“VTCs”) and the Department of Veterans Affairs (“VA”) by increasing court staff’s training and knowledge about VA benefits. VA healthcare, housing, education, and monetary benefits can provide the stability and hope that many VTC participants need to successfully complete their court-mandated rehabilitation. We posit that VTC teams should include members who are knowledgeable about all VA services. Integration with the Veterans Health Administration (“VHA”), which can provide free or low-cost mental healthcare and substance use disorder care, 1should be among the most important priorities for VTCs, with the goal of reducing recidivism for addiction-related offenses. Additionally, VTCs with staff trained to refer veterans to the appropriate Veterans Benefits Administration (“VBA”) programs 2would help participants plagued by homelessness, lack of education, and other social disadvantages begin to build promising futures. We provide detailed information about the range of services available through the VA and call for greater integration of these two disparate but increasingly interdependent organizations—the VA and VTCs—so those who need VA benefits most do not suffer from inadequate access to the benefits they have earned.
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Text Analysis for Understanding Symptoms of Social Anxiety in Student Veterans
A significant portion of the veteran population suffers from PTSD, a mental illness that is often accompanied by social anxiety disorder. Student veterans are especially vulnerable as they struggle to adapt to a new, less structured college lifestyle. In order to assist psychologists and social workers in the treatment of social anxiety disorder we use machine learning to analyze transcribed interview text and apply topic modelling to highlight common stress factors for student veterans. The results detailed in this paper also have broader impacts in fields such as pedagogy and public health.
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- Award ID(s):
- 1757893
- PAR ID:
- 10326088
- Date Published:
- Journal Name:
- Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence
- Volume:
- 35
- Issue:
- 18
- Page Range / eLocation ID:
- 15958-15959
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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