Transdisciplinary Data Scholars Development Program
Center for Trans-Disciplinary Data Analytics, Bethune-Cookman University
Principal Investigator & Director: Raphael D. Isokpehi, PhD, CRA
Program Goal
To provide learning experiences that develop participants into professionals who are capable of working effectively with data.
Program Overview
The Transdisciplinary Data Scholars Development Program is an academic and career development program designed as a multi-stage program that consists of pre-college, undergraduate, graduate, faculty and professional components.
The program uses an expertise development approach. The unifying focus of the program is the challenges of working with digital data: data flow, data curation, and data analytics.
The Pre-College component is envisioned to provide K-12 students with experience in principles and practices of dimensions of data challenges with an alignment to the Next Generation Science Standards (NGSS).
The Undergraduate Component is divided into 4 stages allowing students to acquire key principles and practices of data challenges including societal applications.
The Graduate and Faculty/Professional Components provide participants with opportunities to conduct research with Big Data from a transdisciplinary perspective.
All together the community to emerge is a Transdisciplinary Data Expertise Community of Learners, Discoverers and Innovators.
Program Features
Leverages existing academic coursework
Strengthens courses with infusion of topics on Big Data;
Applies evidence-based learning strategies including metacognitive and cognitive tutoring;
Develops leadership and team expertise of participants;
Connects participants to internship experiences at local industries with global business; and
Equips participants with 21st Century Skills.
Funding Acknowledgment
National Science Foundation:
EHR-1435186;EHR-1623371, EHR-1626602, OAC-1829717, IOS-1901377 EHR-2029363
For more information:
Send email to datascholars@cookman.edu