OCAD University

Modi

( Art Direction ) ( Campaign ) ( Strategy ) ( UI Design )
2026

The brief

Dismantling legacy media frameworks to rebuild trust through human experience.

The global sociopolitical climate has fundamentally fractured how modern audiences interact with institutions, information, and brands. Traditional, centralized news broadcasting operates through an isolated, top-down delivery model—a format that breeds distrust and fatigue among younger demographics.

Our core research revealed that 69% of millennials feel deep connection to the world not through static screens, but through live, shared experiences. The barrier to media adoption isn’t the technology; it’s the lack of a human-centric interface. We identified a distinct strategic opportunity: To bypass traditional, centralized information channels by weaponizing experiential advertising and cross-mediated environments to distribute truth.

I developed Modi—a comprehensive thesis project and conceptual media engine designed to evaluate how decentralized information could be experienced physically, socially, and tangibly.

Rather than viewing news as passive text or video, the project mapped information across a diverse ecosystem of contemporary mediums, balancing physical ambient space with responsive digital interfaces. The creative strategy analyzed the exact parameters of social impact marketing: evaluating what audiences these live installations attract, identifying historical execution failures in cross-media spaces, and proving that shifting the focus from sterile technology to community experience dramatically deepens narrative comprehension. Modi functions as a blueprint for the future of socially conscious media—proving that when you decentralize the message, you establish unassailable human connection.

Impact

Information shouldn't just be consumed. It must be navigated.

77% Of target audience notes that live, shared experiences form their core personal memories.
Shifting focus to community experience lowers psychological barriers to message adoption.
Balancing raw hardware inputs with human-centric interfaces to optimize data flow.