Balancing data and design to turn complex information into work that’s more empathetic, resonant, and interesting
"Shaping the future means finding the right tools to communicate complicated information—and holding data and design in balance so our work becomes more empathetic, more resonant, and more interesting,” says Jason Forrest. “That balance is what changes the success of projects and the value we create as parts of teams, organizations, and society. Put simply: combine the right tools with the right mindset, and complicated information turns into communication people can actually use.”
AI is a tool, not an end-result
In the DV&C program, AI is part of the toolkit alongside data engineering, visual design, and browser-based tools. The question is how you use these tools to combine data and design, so communication becomes more empathetic, more resonant, and more interesting. “When working this way, you’re coding smarter, being more bold in your design, and working faster—and that people‑first approach is what brings your story to life.”
Put people-first
“Our approach puts people first—we think about design and data equitably so we can focus on making information more understandable,” Forrest explains. “That’s what creates positive change and brings more human stories to life.” The DV&C hybrid model pairs creative design with modern data tools so students can connect with audiences and drive productive change. In practice, that looks like rapid cycles of analysis, sketching, and user feedback to turn complex inputs into data communications that are accessible, ethical, and create more impact.
What students actually gain
- Design + code fluency: elegant and executable work, in equal measure.
- Storytelling with evidence to elevate the signal over noise to drive action.
- Intuitive, inclusive communications that promote trust.
- A thoroughly professional practice: presenting, collaborating, and shipping polished work.
Shape your future, then the world around you
This is what “shaping the future” means in practice: building new skills and a new way of thinking that advances both your career and the discipline of data visualization. More importantly, it scales outward—to your organization and community—by helping people understand complicated subjects, raising awareness, and creating change.