Stay locked in with the CCTS for TIERS+, our new exclusive bonus TIERS sessions! In addition to our monthly TIERS program curriculum, we will present additional sessions throughout the year that feature hot topics and take a deeper dive into areas that are highly requested from our subject matter experts. You don’t want to miss out on this opportunity to stay ahead of the curve on your learning journey!
For more information about TIERS+, please contact:
Tyren Lucas, MBA
Director, CCTS Training Academy
lucastj@uab.edu - (205) 934-6670
Upcoming TIERS+ Presentations:
| Session Title | Topic(s) Overview | Learning Objective(s) |
|---|---|---|
| Introduction to Data Visualization: The Power of Visual Data Interpretation Speaker(s): Ashley McGuire, PhD August 19th, 2026 from 1:00–2:30pm |
|
Attendees will be able to identify and apply fundamental data visualization principles by selecting the most appropriate chart types and visualization methods to effectively communicate data insights, including creating visualizations that are broadly accessible for all. |
| Application of Visualization Platforms and Software Speaker(s): Khushi Karra August 26th, 2026 from 1:00–2:30pm |
|
Attendees will be able to evaluate and select appropriate data visualization platforms based on their strengths, limitations, and suitability for different data types, as well as apply basic data cleaning and integration techniques to prepare data for visualization. |
| Data Ethics and Integrity for Data Visualization Speaker(s): Megan McCabe, PhD September 2nd, 2026 from 1:00–2:30pm |
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Attendees will be able to identify and mitigate ethical risks in data visualization by ensuring accurate data representation, recognizing and avoiding bias, and understanding the consequences of unethical data manipulation. |
| Reproducibility and Transparency for Data Visualization — Making Data Fair and Shareable Speaker(s): Marla Hertz, PhD September 9th, 2026 from 1:00–2:30pm |
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Attendees will be able to apply reproducibility and transparency principles by implementing documented workflows, interactive dashboards, and reproducible reporting techniques while ensuring ethical data sharing and compliance with privacy and licensing standards. |
Target Audience(s): Pre-doctoral, Post-doctoral, Faculty, Staff
This series will provide an introductory curriculum for learning key principles of data visualization. The program is designed to show faculty, staff, and students of all career levels the foundational components of data visualization which includes visual data interpretation, commonly used software and platforms, data integrity, reproducibility, and transparency.
The 2026 series will include helpful updates and strategies in each session for staying compliant with ADA Title II guidelines which begins April 26, 2027.