SRI International
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YouthTruth concurrent and predictive validity study
This research study provides confirmatory evidence that six YouthTruth student experience scales are associated with key school-level student academic and behavioral outcomes, including math and reading proficiency rates, chronic absences rates, and suspensions.
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Paul J. Burkander
Senior Education Researcher, SRI Education
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Into the wild…the need for standardization and consensus recommendations to leverage consumer-facing sleep technologies
By considering sensor capability and contribution to sleep outcomes, most devices now incorporate photoplethysmography (PPG), an optical measure of variation in small vessel blood volume.
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Suresh Sunderrajan
Chief Financial Officer
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Poor subjective sleep predicts compromised quality of life but not cognitive impairment in abstinent individuals with Alcohol Use Disorder
The Pittsburgh Sleep Quality Index (PSQI) was used to evaluate subjective sleep in 90 individuals with AUD sober for an average of 3 months and in 50 healthy controls.
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Youth screen use in the ABCD® study
We describe methods by which the screen usage questionnaire was developed in the Adolescent Brain Cognitive Development (ABCD) Study, demonstrate longitudinal changes in screen usage via child report and describe data harmonization baseline-year 2.
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Alcohol’s effects on the mouse brain are modulated by age and sex
To test the hypothesis that the effects of binge alcohol exposure on developmental brain growth trajectories are influenced by age of exposure and sex, adolescent and adult mice were exposed to a binge-like ethanol exposure paradigm.
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Location matters: Regional variation in association of community burden of COVID-19 with caregiver and youth worry
Our study characterized associations between three indicators of COVID-19’s community-level impact in 20 geographically diverse metropolitan regions and how worried youth and their caregivers in the Adolescent Brain Cognitive Development℠ Study have been about COVID-19.
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Unpacking Large Language Models with Conceptual Consistency
We propose conceptual consistency to measure a LLM’s understanding of relevant concepts. This novel metric measures how well a model can be characterized by finding out how consistent its responses to queries about conceptually relevant background knowledge are.


