Overview:
- Offers TADA courses and most of the professional development activities offered by the fellowship.
- Can be started at any point during PhD candidacy.
Eligibility:
- Open to PhD students – in good standing – from any Emory department or degree program.
- Applicants must be prepared to engage in interdisciplinary collaboration and learning multiple software packages used to analyze big data.
- Applicants demonstrate interest in learning and applying advanced data science analytics to end drug-related harms.
Students in the TADA Certificate Program are required to participate in the following training activities:
1. Required Courses (Click here for details on all TADA Courses)
| BSHES 735 TADA: Reducing Drug-Related Harms Using “Big Data”: Administrative, Geospatial & Network Sources | 3 credits, Spring Semester |
| BSHES 740 TADA: Reducing Drug-Related Harms Using Internet-Based “Big Data”: Machine Learning and AI Methods | 3 credits, Fall Semester |
| BSHES 745 TADA: Professional Development, Current Topics and Dissertation Workshop course | 1 credit/semester, 4 total required |
| Two advanced, graduate-level courses in chosen track, approved on case-by-case basis by TADA leadership. (Tracks include: Geospatial Analysis; Analyzing large administrative databases; Machine Learning; Genetic and Environmental Influences and Interactions; Social networks) | Min. 4 credits (2 credits each) required |
2. Individual Development Plan (IDP) and Mentor Matching
- TADA Fellows are required to set academic and professional goals for his/her fellowship training.
- IDP is part of the fellow’s professional responsibility to chart goals and success in the TADA program and assist with ensuring timely progress.
- Access to mentors through TADA faculty network.
3. Training in Menteeship
4. Professional Development Opportunities
- “Journal Club Unplugged” Sessions
- Seminars
- Research Symposium
5. Dissertation Submission
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At least One Aim must focus on big data science + One (or same) Aim on a drug-related outcome.