Mathematical modeling is increasingly driving progress in clinical cognitive science and assessment. Mathematical modeling is essential for detecting certain effects of psychopathology – mental disturbance--through comprehensive understanding of tell-tale cognitive variables such as workload capacity and efficiency in using capacity, and their contrast under quantitative measurement. The research paradigm guiding this formal clinical science is outlined. An example using a distinctive cognitive abnormality in schizophrenia – taking longer to cognitively represent encountered stimulation – provides an illustration of a quantitative framework for studying intricate mental health-impairing phenomena. Added benefits of formal developments, among others, include symptom description and prediction, new methods of cognitive- and statistical-science grounded clinical assessment over time, both for individuals and treatment regimens, and refinement of the cognitive-function side of clinical functional neuroimaging
