Mission Statement
The mission of the Predictive Analytics and Data Science (PADS) Hub is to build collaborative bridges between statisticians and other investigators as well as provide training, improve methodology for statistical analyses, and advance research programs both within and outside of the field of Statistics.
Need Data Science or Statistical Help?
Types of Services offered
- Consultations
- Data Analysis
- Data Visualizations
- Statistical Programming
- Guest lectures, training and workshops
For…
- Grant Submissions
- Study Design
- Translational Research
- Pilot studies
- Presentations
- Publications
PADS Hub Calendar
The PADS Hub operates on the following calendar in accordance with set University of Kentucky calendars. During days with limited assistance available, please email UKPADSHub@uky.edu for urgent requests.
| October 28, 2024 – October 29, 2024 | Limited faculty/staff support available (Fall Break) |
| November 5, 2024 | Closed for Election Day* |
| November 28, 2024 – November 30, 2024 | Closed for Thanksgiving Holiday* |
| December 23, 2024 | Limited faculty/staff support available (Winter Break) |
| December 24, 2024 – January 1, 2025 | Closed with UK Holidays* |
| January 20, 2025 | Closed for Martin Luther King Jr. Day* |
| March 17, 2025 – March 22, 2025 | Limited faculty/staff support available (Spring Break) |
| June 19, 2025 | Closed for Juneteenth* |
Funding Model
Funding for the PADS Hub comes from partnerships with colleges, departments, centers, infrastructure grants, and central administration. If you are interested in a PADS Hub partnership, please contact katherine.thompson@uky.edu. Limited, free access is available to students, staff, and faculty who are unaffiliated with a partner by submitting a request.
PADS Hub Cores
The PADS Hub is organized into three cores:
- Data Analytics Core (Applied Statistics Lab)
- Training Core
- Methodology Core
Mentoring and Training
Mentoring and training are key in the organizational model of the PADS Hub. For some requests, statistics graduate students are partnered with an experienced faculty/staff member who mentors the student through all stages of the project. On occasion, an experienced graduate student who has completed a masters degree in statistics is paired with graduate student in training to carry out project requests.