Our Goals
The NIDA funded pre-doctoral program, Training in Advanced Data Analytics and Computational Sciences to End Drug-Related Harms (TADA), will prepare a diverse cadre of 21st century social and behavioral science (SBS) researchers to develop transformative approaches to end the substance use disorder (SUD) crisis by applying advanced data science methods to analyze big data (e.g., geospatial data, sociometric network data, machine learning, administrative data, gene-environment interaction data).
Supported by 45 Emory faculty mentors from 11 departments, TADA will prepare trainees to ethically, critically, and seamlessly integrate advanced data science methods into the SBS research lifecycle for SUD (see figure below).
Trainees will learn to:
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Conduct theoretically-informed studies of distributions and ecologies of SUD-related harms using advanced data science methods;
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Conduct theoretically-informed studies motivating and assessing policies and programmatic interventions that may affect SUD-related harms and services;
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Disseminate findings to multiple stakeholder communities to strengthen efforts to end SUD-related harms;
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Critically apply principles of the ethical and responsible conduct of research
