Join Us for Data Friends 3.0!

Sign up here: Data Friends of Dallas College 3.0 Registration Form

How can data, research, and artificial intelligence help shape the future of education, workforce preparation, and economic mobility in North Texas? Dallas College invites you to explore this timely question at Data Friends 3.0: Building the College of the Future, Driving Workforce Impact on Thursday, September 17, 2026, from 8:30 a.m. to 4:00 p.m. at the Bill J. Priest Campus, Room 1530. 

This no-cost convening will bring together higher education leaders, workforce organizations, researchers, and community partners for a full day of learning, connection, and action-focused dialogue. Building on the momentum of previous Data Friends gatherings, Data Friends 3.0 will spotlight how cross-sector collaboration and data-informed strategies can strengthen student success and workforce outcomes across the region. 

At Data Friends 3.0, you will: 

• Hear from featured keynote presenter Jamie Fogel from Harvard’s Opportunity Insights on how research and artificial intelligence can help move organizations from insight to action. Jamie serves as Data Scientist for Dr. Raj Chetty’s research team. 

• Discuss aligning workforce training programs with industry partners from Dallas College keynote, Dr. Brad Williams, Vice Chancellor for Operations, Advancement and Innovation, and of President El Centro campus. 

• Participate in interactive breakout discussions on high-interest topics including dual credit pathways, adult learner engagement, graduate workforce outcomes, transfer success, labor market intelligence, and workforce credentialing. 

• Connect with education, workforce, and community partners who are using data to improve opportunities for students and North Texas communities. 

• Engage in forward-looking conversations about workforce preparation, institutional strategy, innovation, and the future of higher education. 

Sign Up Here

Reserve your seat today. Seating is limited. Please complete your registration by Friday, September 11, 2026, to secure your spot.  

Featured Guests

Kevin Clarke

Kevin Clarke is an Associate Director with EAB’s Research Advisory Services (RAS), where he partners with presidents, provosts, and senior leadership teams to advance institutional strategy and student success. Informed by EAB’s research and market insights, Kevin delivers executive workshops, strategy sessions, and advisory consultations that help leaders clarify priorities, navigate tradeoffs, and translate insight into coordinated action. His expertise spans student success and retention strategy, academic advising transformation, AI readiness, strategic differentiation, workforce alignment, and financial sustainability. He is particularly focused on the institutional conditions that shape student persistence, including how governance, faculty roles, metrics, and technology influence long-term outcomes.

Kevin holds a bachelor’s degree in communication arts and political science from the University of Wisconsin–Madison and a master’s degree in college student development from Appalachian State University. He is currently pursuing an EdD in urban educational leadership at the University of Cincinnati, where his research examines institutional factors that influence student persistence.

 

Becky Klein-Collins

Becky Klein-Collins is the Associate Vice President for Research for the Council for Adult and Experiential Learning, with responsibilities for conducting new research to benefit adult learners and developing new approaches for policy change at both the federal and state levels. Klein-Collins holds a bachelor's degree from Grinnell College and master's degrees from Indiana University and the University of Chicago Harris School of Public Policy.

 

Jamie Fogel

Jamie Fogel is a Research Scientist at Opportunity Insights at Harvard University, where his work combines large-scale administrative data with tools from machine learning and network theory to study labor markets and economic opportunity. His research develops new methods for estimating the causal effects of workforce training and higher education programs from observational data; quantifies latent heterogeneity among workers and jobs to improve definitions of labor markets and measures of market power; and examines the racial, socioeconomic, and geographic determinants of credit access and credit-market behavior. He received his Ph.D. in economics from the University of Michigan in 2022.

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